CN109091110B - Esophagus pressure measurement identification recognition system, electronic equipment and storage medium - Google Patents

Esophagus pressure measurement identification recognition system, electronic equipment and storage medium Download PDF

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CN109091110B
CN109091110B CN201810916546.XA CN201810916546A CN109091110B CN 109091110 B CN109091110 B CN 109091110B CN 201810916546 A CN201810916546 A CN 201810916546A CN 109091110 B CN109091110 B CN 109091110B
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廖训
胡人友
郭凌
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Chongqing Jinshan Medical Technology Research Institute Co Ltd
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Chongqing Jinshan Medical Appliance Co Ltd
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Abstract

The application discloses esophagus pressure measurement sign identification system and electronic equipment and storage medium, this system includes: the obtaining module is used for obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture; the rest frame identification determining module is used for determining the positions of the UES and the LES according to the rest frame pressure cloud picture, and determining the positions of the upper edge and the lower edge of the LES according to the intersection points of the interpolation curves and the median straight lines of the pressure sum at each end of breath; the UES channel relaxation identification module is used for determining a UES relaxation lowest point and determining UES relaxation starting and ending positions according to an intersection point of an interpolation curve of a pressure value of the UES channel and a second datum line and a third datum line; and the swallowing wave identification determining module is used for determining the highest point of the pressure wave on the target channel, determining the peak type and the starting and ending positions of the swallowing wave of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line, and has high identification accuracy.

Description

Esophagus pressure measurement identification recognition system, electronic equipment and storage medium
Technical Field
The present application relates to the field of medical technology, and more particularly, to an esophageal pressure measurement identification system, an electronic device, and a computer-readable storage medium.
Background
The esophageal pressure measurement is a golden standard for evaluating esophageal dynamic abnormity, and compared with a traditional pressure measurement mode of adopting a 4-guide or 8-guide pressure measurement catheter and gradually pulling after intubation, the high-resolution pressure measurement (the whole English name: high resolution measurement, the English name: HRM for short, including water perfusion HRM according to 21-36 channels of the esophageal HRM catheter and solid HRM with the pressure measurement channel as high as 33-36 channels) can more intuitively and accurately reflect the esophageal dynamic condition.
In order to help clinicians to better identify esophageal dynamic abnormalities by using HRM, the international HRM working group published the 1 st edition of esophageal dynamic abnormality classification in 2009, namely the classification standard of chicago, and diagnosis was mainly performed according to some technical parameters of esophageal manometry. Whether the calculation range and the calculation value of the technical parameter are accurate depends on the physiological position of the esophagus and the characteristic point identification of the pressure waveform. The Chicago algorithm primarily performs identification diagnostics based on high resolution cloud images. The esophageal manometry mark comprises a resting frame mark and a swallowing frame mark.
In the actual use process of the existing pressure measuring product, software can automatically identify the identification position, but sometimes the software has larger deviation with the correct position. Doctors and analysts are required, and according to the shapes of the pressure cloud pictures or the pressure curve graphs of the patients, human eyes judge whether the automatically recognized identification positions are correct, and manually adjust the identification positions one by one to correctly place the identification positions. The workload of doctors or analysts can be increased, individual differences also exist in human eye recognition, the recognition accuracy of the esophageal manometry markers is not high, and the esophageal dynamics analysis result is influenced.
Therefore, how to improve the identification accuracy of the esophageal manometry mark is a problem to be solved by those skilled in the art.
Disclosure of Invention
An object of the application is to provide an esophagus pressure measurement identification recognition system, an electronic device and a computer readable storage medium, which improve the recognition accuracy of the esophagus pressure measurement identification.
In order to achieve the above object, the present application provides an esophageal pressure measurement identification system, comprising:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a resting frame pressure cloud picture and a swallowing frame pressure cloud picture and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
the rest frame identification determining module is used for determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the rest frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the rest frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
the UES channel relaxation identification module is used for determining a pressure lowest point on the UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to the intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
the swallowing wave identification determining module is used for determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is in the swallowing frame pressure cloud picture and is located n centimeters upwards from the upper edge of the LES, and the fourth datum line is a statistical pressure value of the target channel.
Wherein, the module for determining the resting frame identification comprises:
the UES position determining unit is used for calculating the pressure sum of each esophagus position of the uppermost part of the resting frame pressure cloud picture and determining the esophagus position corresponding to the maximum value of the pressure sum as the UES position;
an LES position determining unit, configured to determine end-of-breath time at the lowest part of the resting frame pressure cloud, and determine an esophagus position corresponding to a maximum value of a sum of pressures at the end-of-breath time as an LES position;
and the unit for determining the upper edge and the lower edge of the LES is used for interpolating the pressure sum of each end-of-breath time to obtain a second interpolation curve, determining a median straight line of the pressure sum of each end-of-breath time, and determining the upper edge position and the lower edge position of the LES according to the intersection point of the second interpolation curve and the median straight line.
Wherein the determining LES location unit comprises:
the intra-abdominal pressure channel subunit is used for determining a channel consistent with the intra-abdominal pressure change rule as an intra-abdominal pressure channel at the lowest part of the resting frame pressure cloud picture;
the first interpolation subunit is used for interpolating the pressure values on the intra-abdominal pressure channel to obtain a first interpolation curve and determine a first reference line; wherein the first reference line is a statistical pressure value of the intra-abdominal pressure channel;
the end-of-breath-time determining subunit is used for determining an intersection point of the first interpolation curve and the first reference line, and determining a corresponding position with a slope larger than 0 in the intersection point as an end-of-breath time;
and an LES position determining subunit, configured to determine an esophagus position corresponding to a maximum value of the pressure sum at each end-of-breath time as an LES position.
Wherein the determining the LES up and down edge location unit comprises:
the second interpolation subunit is used for interpolating the pressure sum of each end-of-breath time to obtain a second interpolation curve and determining a median straight line of the pressure sum of each end-of-breath time;
an LES upper edge position subunit, configured to determine a closest intersection point of the second interpolation curve and the median line at an upper end of the LES position as an LES upper edge position;
and an LES lower edge position determining subunit, configured to determine, as an LES lower edge position, a closest intersection point of the second interpolation curve and the median straight line at a lower end of the LES position.
Wherein the determining the UES channel relaxation identification module comprises:
a UES relaxation lowest point determining unit used for determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud map as a UES relaxation lowest point;
the third interpolation unit is used for interpolating the pressure on the UES channel to obtain a third interpolation curve and determine a second reference line and a third reference line;
a UES relaxation starting position determining unit for determining a nearest intersection point of the third interpolation curve and the second reference line at the left end of the UES relaxation lowest point as a UES relaxation starting position;
and a UES relaxation ending position determining unit for determining the nearest intersection point of the third interpolation curve and the third datum line at the right end of the UES relaxation lowest point as the UES relaxation ending position.
Wherein the determining a swallow wave identification module comprises:
the pressure wave peak determining unit is used for determining the position corresponding to the pressure maximum value on the target channel as a pressure wave peak on the target channel;
the fourth interpolation unit is used for interpolating the pressure values on the target channel to obtain a fourth interpolation curve and determine a fourth reference line;
a peak type determining unit, configured to determine a peak type of the target channel according to an intersection point of the fourth interpolation curve and the fourth reference line;
and the swallowing wave identification unit is used for determining a swallowing wave starting position and a swallowing wave ending position on the target channel according to the peak type and the intersection point of the fourth interpolation curve and the fourth reference line.
Wherein the determining swallowing wave identification unit includes:
a determining position subunit, configured to determine a first position of a leftmost bee and a second position of a rightmost bee on the fourth interpolation curve;
an intersection point determining subunit, configured to determine a closest intersection point of the fourth interpolation curve and the fourth reference line at the left end of the first position as a left intersection point, and determine a closest intersection point of the fourth interpolation curve and the fourth reference line at the second position as a right intersection point;
the calculating subunit is used for calculating a left pressure mean value of the fourth interpolation curve at the left end of the left intersection point and a right pressure mean value at the right end of the right intersection point;
and the determining swallowing wave identification subunit is used for determining the nearest intersection point of the fourth interpolation curve and the left pressure mean value as a swallowing wave starting position, and determining the nearest intersection point of the fourth interpolation curve and the right pressure mean value as a swallowing wave ending position.
Wherein n is any one or a combination of any more of 3, 7 and 11.
To achieve the above object, the present application provides an electronic device including:
a memory for storing a computer program;
a processor for implementing the following steps when executing the computer program:
obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture, and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the resting frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the resting frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is in the swallowing frame pressure cloud picture and is located n centimeters upwards from the upper edge of the LES, and the fourth datum line is a statistical pressure value of the target channel.
To achieve the above object, the present application provides a computer-readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing the steps of:
obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture, and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the resting frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the resting frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is in the swallowing frame pressure cloud picture and is located n centimeters upwards from the upper edge of the LES, and the fourth datum line is a statistical pressure value of the target channel.
According to the above technical scheme, the utility model provides an esophagus pressure measurement identification system, includes: the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a resting frame pressure cloud picture and a swallowing frame pressure cloud picture and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; the rest frame identification determining module is used for determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the rest frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the rest frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time; the UES channel relaxation identification module is used for determining a pressure lowest point on the UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to the intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; and the swallowing wave identification determining module is used for determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line.
The application provides an esophagus pressure measurement sign recognition system utilizes each interpolation curve and the nodical mode of each datum line to confirm each esophagus pressure measurement sign, compares with prior art dependence human eye identification's mode, and the recognition accuracy is higher. Taking the rest frame mark as an example, for the UES position, since the pressure near the position with the maximum pressure appears to be almost the same as the position with the maximum pressure, the position with the maximum pressure observed by human eyes on the cloud picture is easy to deviate, and this way also depends on the accuracy of cloud picture drawing, and the accuracy of this application is higher by calculating and comparing the pressure of each esophagus position at the uppermost part of the rest frame pressure cloud picture and determining the position of the maximum value. For identification of the upper edge position and the lower edge position of the LES, the positions of all breathing end moments are automatically identified, the upper edge position and the lower edge position of the LES are automatically determined by utilizing intersection points of interpolation curves and median straight lines of pressure sum of all breathing end moments, the identification process of the esophagus pressure measurement identification is digitized and imaged, individual differences caused by human eye identification can be avoided, and the identification result is more accurate. In addition, the esophagus pressure measurement identification system divides the whole pressure cloud picture into a plurality of parts, is more targeted when different pressures are calculated by identifying each identification, and is small in calculated amount and high in identification speed. Taking the UES position as an example, the pressure sum of all esophagus positions at the uppermost part of the resting frame pressure cloud picture only needs to be calculated, the pressure sum of the whole resting frame pressure cloud picture does not need to be calculated, the calculated amount in the identification process is reduced, and the identification speed is improved. The application also discloses an electronic device and a computer readable storage medium, which can also achieve the technical effects.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a structural diagram of an esophageal manometry identification system disclosed in an embodiment of the present application;
fig. 2 is a structural diagram of a resting frame identification module disclosed in an embodiment of the present application;
fig. 3 is a structural diagram of a UES channel relaxation identification module disclosed in an embodiment of the present application;
FIG. 4 is a block diagram of a swallow wave identification module as disclosed in an embodiment of the present application;
fig. 5 is a block diagram of an electronic device disclosed in an embodiment of the present application;
fig. 6 is a block diagram of another electronic device disclosed in the embodiments of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application discloses esophagus pressure measurement identification system, which improves the identification accuracy of esophagus pressure measurement identification.
Referring to fig. 1, a structural diagram of an esophageal manometry identification system disclosed in an embodiment of the present application is shown in fig. 1, and includes:
the device comprises an acquisition module 101, a storage module and a processing module, wherein the acquisition module 101 is used for acquiring a resting frame pressure cloud picture and a swallowing frame pressure cloud picture and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
the high-resolution cloud chart represents the change relation of pressure data with anatomical positions and time, the pressure value is represented by colors, the colors are warmer when the pressure is higher, the colors are cooler when the pressure is lower, the horizontal axis is a time axis, and the vertical axis is the anatomical positions of the esophagus. In this embodiment, the high resolution cloud images include a resting frame pressure cloud image (i.e., a pressure cloud image of each esophageal position when not swallowing) and a swallowing frame pressure cloud image (i.e., a pressure cloud image of each esophageal position when swallowing), which are from top to bottom corresponding to the esophageal positions of a human body respectively.
In a specific implementation, the obtaining module 101 first obtains a resting frame pressure cloud and a swallowing frame pressure cloud. Because the partial esophageal pressure measurement mark has unique position characteristics, for example, the UES position must be on the upper part of the pressure cloud picture, and the LES position must be on the lower part of the pressure cloud picture, the resting frame pressure cloud picture can be divided into a plurality of parts according to the esophageal position, and for a specific division mode, a person skilled in the art can flexibly set according to the actual esophageal length, UES height, LES height and the like of the esophageal anatomical position, and the specific division mode is not limited herein. In the subsequent analysis and identification process, only the part corresponding to the esophagus pressure measurement mark needs to be analyzed, so that the workload of calculation in the identification process is reduced, and the identification speed is improved.
A rest frame identification determining module 102, configured to determine a UES position according to the pressure sum of each esophageal position at the uppermost portion of the rest frame pressure cloud, determine an LES position according to the pressure sum of the end-of-breath time at the lowermost portion of the rest frame pressure cloud, and determine an LES upper edge position and an LES lower edge position according to an intersection point of an interpolation curve of the pressure sum and a median line at each end-of-breath time;
in a specific implementation, the determine resting frame identification module 102 is responsible for identifying a resting frame identification in the resting frame pressure cloud, which mainly includes a UES position, an LES position, and an LES top and bottom edge position (i.e., an LES top edge position and an LES bottom edge position). Specifically, for the position of the UES where the position of the UES is the maximum pressure value, the sum of the pressure data of each esophageal position at the uppermost part of the resting frame pressure cloud chart along with the time change is projected on the ordinate, and the ordinate position where the maximum value is located on the ordinate axis is identified, that is, the position of the UES. It will be appreciated that in practical situations a plurality of maximum pressure sums may occur, in which case an average of several maximum pressure sums and corresponding positions may be taken.
For the LES position, i.e., the position where the pressure at the end of breathing is maximum, because the diaphragm is lifted when the patient performs inspiration motion, the strength of the diaphragm is strengthened, but the strength of the diaphragm is weakened when the patient exhales, but the LES does not fluctuate along with breathing, the pressure at the end of expiration is basically the pressure of the LES, wherein the intra-abdominal pressure periodically changes along with the position of the diaphragm band, the pressure decreases during expiration, and the pressure increases during inspiration, and the time at the end of breathing can be identified by using the change rule, and a specific identification method will be described in detail in the following embodiments. And after the end-of-breath time is identified, projecting the sum of the pressures at the end-of-breath time to the ordinate, and identifying the ordinate position where the maximum value on the ordinate is located, namely the LES position.
The upper edge and the lower edge of the LES are covered by an LES high-pressure belt which is the upper edge and the lower edge of the high-pressure belt, and the position is a color jump position in visual sense. Specifically, the sum of the pressure values at each end-expiratory time is projected on a vertical axis, the pressure and data on the vertical axis are interpolated to obtain a pressure curve P2, the pressure on the vertical axis and a median line Pmid are obtained, the intersection point of the median line Pmid and the curve P2 is found, and two intersection points up and down which are respectively closest to the LES position are obtained. The positions of up and down on the ordinate axis are the corresponding positions of the upper edge and the lower edge of the LES.
The determination UES channel relaxation identification module 103 is configured to determine a pressure lowest point on the UES channel corresponding to the UES position in the swallowing frame pressure cloud map as a UES relaxation lowest point, and determine a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of a pressure value of the UES channel and a second reference line and a third reference line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
in a particular implementation, the determine UES channel relaxation identification module 103 is responsible for identifying UES relaxation nadir, start and end locations in the swallow frame identification in the swallow frame pressure cloud. Specifically, for the lowest point of the UES relaxation, the UES position identified in the resting frame pressure cloud in the previous module is corresponding to the swallowing frame pressure cloud to determine the UES channel, and the value of the pressure on the channel changing with time is found to be the lowest point of the pressure, i.e. the lowest point of the UES relaxation.
For the initial and final positions of the UES relaxation, a second datum line and a third datum line are firstly set, wherein the second datum line is determined by a pressure value at the left end of the UES relaxation lowest point, and the second datum line is determined by a pressure value at the right end of the UES relaxation lowest point. The specific numerical value determination method of the second datum line comprises the following steps: collecting a large amount of UES channel pressure data of the patient, manually marking the pressure value at the left end of the relaxation lowest point of the patient, solving the quantile points of all the manual marks relative to the channel pressure data, and fitting all the quantile points by adopting a straight line with y being equal to b to obtain a determined value of b, namely the specific numerical value of the second datum line. For example, if the found quantile point is 3/4, the pressure value at the left end of the relaxation lowest point of the artificial mark has 8 data of 1, 2, 3, 4, 5, 6, 7 and 8, and 8 times 3/4 equals 6, then the 3/4 quantile point is the 6 th data in the 8 data sorted from small to large, that is, the value of the 3/4 quantile point is 6, and the second reference line is 6. The determination mode of the specific numerical value of each datum line is similar to that of the datum line, and is not described in detail later. In addition, the pressure values on the UES channel are interpolated to obtain an interpolated curve P3, wherein the intersection point of the second reference line and the P3, which is on the left of the UES relaxation lowest point and is closest to the UES relaxation lowest point, is the UES relaxation starting position, and the intersection point of the third reference line and the P3, which is on the right of the UES relaxation lowest point and is closest to the UES relaxation lowest point, is the UES relaxation ending position.
The swallowing wave identification determining module 104 is configured to determine a position corresponding to a maximum pressure value on a target channel as a highest pressure wave point on the target channel, and determine a peak type, a swallowing wave starting position, and a swallowing wave ending position of the target channel according to an intersection point of an interpolation curve of a pressure value of the target channel and a fourth reference line; the target channel is a channel which is in the swallowing frame pressure cloud picture and is located n centimeters upwards from the upper edge of the LES, and the fourth datum line is a statistical pressure value of the target channel.
In a specific implementation, the determine swallow wave identification module 104 is responsible for identifying swallow wave identification (including pressure wave vertices, peak types, and swallow wave start and end locations) on the target passageway in the swallow frame pressure cloud. The pressure curves are divided into multimodal (bimodal, trimodal, etc.) and unimodal, with pressure channels without DP identification being unimodal and pressure channels with DP identification being bimodal. The double peaks are judged by that at least one wave trough with 10mmHg pressure wave is arranged between adjacent wave peaks, the adjacent waves are at least separated by one second, and the start and end positions of the swallowing wave comprise the double peaks under the condition that the double peaks exist. Specifically, the highest point of pressure at the upper edge L1(3cm), L2(7cm) and L3(11cm) of the LES and the start and end positions of the swallowing wave can be identified, and the identification methods of all target channels are consistent.
The highest point of the pressure wave is the maximum value P of the pressure on the target channelmax. The intersection method is also used for the peak type, the start and end positions of the swallow wave. Specifically, a fourth reference line on the target channel is set, the fourth reference line is determined according to the pressure value on the target channel, the pressure on the target channel is interpolated to obtain an interpolation curve P4, and the intersection point of the fourth reference line and P4, P, is obtainedmaxThe intersection points x1, x2, …, xk on the left (sequentially away from P)max),PmaxThe right intersection points y1, y2, …, yk (sequentially distant from P)max) The peak value of the target channel can be identified according to the intersection pointType, start and end positions of swallowing waves, and the embodiment is not particularly limited to the specific identification process, and will be explained in detail in the following embodiments.
The esophagus pressure measurement identification recognition system provided by the embodiment of the application determines each esophagus pressure measurement identification by means of intersection points of each interpolation curve and each reference line, and compared with a mode of relying on human eye recognition in the prior art, the recognition accuracy is higher. Taking the rest frame mark as an example, for the UES position, since the pressure near the position with the maximum pressure appears to be almost the same as the position with the maximum pressure, the position with the maximum pressure observed by human eyes on the cloud picture is easy to deviate, and this way also depends on the accuracy of cloud picture drawing, and the accuracy of this application is higher by calculating and comparing the pressure of each esophagus position at the uppermost part of the rest frame pressure cloud picture and determining the position of the maximum value. For identification of the upper edge position and the lower edge position of the LES, the positions of all breathing end moments are automatically identified, the upper edge position and the lower edge position of the LES are automatically determined by utilizing intersection points of interpolation curves and median straight lines of pressure sum of all breathing end moments, the identification process of the esophagus pressure measurement identification is digitized and imaged, individual differences caused by human eye identification can be avoided, and the identification result is more accurate. In addition, the esophagus pressure measurement identification system provided by the embodiment of the application divides the whole pressure cloud picture into a plurality of parts, so that the system is more targeted when different pressures are calculated by identifying each identification, the calculated amount is small, and the identification speed is high. Taking the UES position as an example, the pressure sum of all esophagus positions at the uppermost part of the resting frame pressure cloud picture only needs to be calculated, the pressure sum of the whole resting frame pressure cloud picture does not need to be calculated, the calculated amount in the identification process is reduced, and the identification speed is improved.
The embodiment of the application discloses a resting frame identification module, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
referring to fig. 2, a structure diagram of a resting frame identification module provided in an embodiment of the present application is shown in fig. 2, and includes:
a UES position determining unit 201, configured to calculate a pressure sum of each esophageal position of an uppermost portion of the resting frame pressure cloud, and determine an esophageal position corresponding to a maximum value of the pressure sum as a UES position;
an LES location determining unit 202, configured to determine end-of-breath time at a lowest portion of the resting frame pressure cloud, and determine an esophageal location corresponding to a maximum value of a sum of pressures at the end-of-breath time as an LES location;
preferably, the determining LES location unit includes:
the intra-abdominal pressure channel subunit is used for determining a channel consistent with the intra-abdominal pressure change rule as an intra-abdominal pressure channel at the lowest part of the resting frame pressure cloud picture;
the first interpolation subunit is used for interpolating the pressure values on the intra-abdominal pressure channel to obtain a first interpolation curve and determine a first reference line; wherein the first reference line is a statistical pressure value of the intra-abdominal pressure channel;
the end-of-breath-time determining subunit is used for determining an intersection point of the first interpolation curve and the first reference line, and determining a corresponding position with a slope larger than 0 in the intersection point as an end-of-breath time;
and an LES position determining subunit, configured to determine an esophagus position corresponding to a maximum value of the pressure sum at each end-of-breath time as an LES position.
In this embodiment, a process of identifying an end-expiratory time will be described in detail, and a channel consistent with an intra-abdominal pressure change rule is determined as an intra-abdominal pressure channel at the lowest part of a resting frame pressure cloud, and since the pressure change rule of the channel is consistent with intra-abdominal pressure, the end-expiratory time can be identified according to a rule of rising and falling of the channel pressure.
In a specific implementation, a first reference line on the channel is set, the pressure on the channel is determined according to the pressure value on the channel, the pressure on the channel is interpolated to obtain an interpolation curve P1, intersection points of the first reference line and P1 are obtained, the magnitude relation between the pressure average value between the intersection points and the first reference line is sequentially judged, if the pressure average value between the intersection points is larger than the first reference line, the left intersection point is the pressure end-expiratory time position, if the pressure average value between the intersection points is smaller than the first reference line, the right intersection point is the pressure end-expiratory time position, namely, the corresponding position with the slope larger than 0 in the intersection points is the end-expiratory time.
An LES upper and lower edge position determining unit 203, configured to interpolate the pressure sum at each end-of-breath to obtain a second interpolation curve, determine a median straight line of the pressure sum at each end-of-breath, and determine an LES upper edge position and an LES lower edge position according to an intersection of the second interpolation curve and the median straight line.
Preferably, the determining the LES up and down edge position unit includes:
the second interpolation subunit is used for interpolating the pressure sum of each end-of-breath time to obtain a second interpolation curve and determining a median straight line of the pressure sum of each end-of-breath time;
an LES upper edge position subunit, configured to determine a closest intersection point of the second interpolation curve and the median line at an upper end of the LES position as an LES upper edge position;
and an LES lower edge position determining subunit, configured to determine, as an LES lower edge position, a closest intersection point of the second interpolation curve and the median straight line at a lower end of the LES position.
The embodiment of the application discloses a UES channel relaxation identification module, and compared with the first embodiment, the embodiment further describes and optimizes the technical scheme. Specifically, the method comprises the following steps:
referring to fig. 3, a structure diagram of a UES channel slack identification module provided in an embodiment of the present application is shown in fig. 3, and includes:
a UES relaxation lowest point determining unit 301, configured to determine a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud map as a UES relaxation lowest point;
a third interpolation unit 302, configured to interpolate the pressure on the UES channel to obtain a third interpolation curve, and determine a second reference line and a third reference line;
a UES relaxation starting position determining unit 303, configured to determine a nearest intersection point of the third interpolation curve and the second reference line at the left end of the UES relaxation lowest point as a UES relaxation starting position;
a UES slack ending position determining unit 304 for determining a nearest intersection of the third interpolation curve and the third reference line at the right end of the UES slack lowest point as the UES slack ending position.
The embodiment of the application discloses a swallowing wave identification determining module, and compared with the first embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
referring to fig. 4, an architectural diagram of a module for identifying a swallow wave according to an embodiment of the present application is shown in fig. 4, and includes:
the pressure wave peak determining unit 401 is configured to determine a position corresponding to a maximum pressure value on the target channel as a pressure wave peak on the target channel;
a fourth interpolation unit 402, configured to interpolate the pressure values on the target channel to obtain a fourth interpolation curve, and determine a fourth reference line;
a peak type determining unit 403, configured to determine a peak type of the target channel according to an intersection of the fourth interpolation curve and the fourth reference line;
in specific implementation, a fourth reference line on the target channel is set, the fourth reference line is determined by the pressure value on the target channel, the pressure on the target channel is interpolated to obtain an interpolation curve P4, and the intersection point of the fourth reference line and P4, P, is obtainedmaxThe intersection points x1, x2, …, xk on the left (sequentially away from P)max),PmaxThe right intersection points y1, y2, …, yk (sequentially distant from P)max) And, from the intersection point, P is discriminatedmaxWhether other wave crests exist on the left side and the right side or not is judged according to the same method for judging the two sides of the two sides, and P is usedmaxThe specific discrimination method taking the intersection point of the left intersection point as an example is as follows:
the method comprises the following steps: judging whether pressure lower than 10mmHg exists between x1 and x 2; if yes, entering the step two, if not, PmaxNo other wave peak exists on the left;
step two: judging the maximum value between x2 and x3 and PmaxWhether the time interval of (a) is greater than 1 second; if yes, a peak exists between x2 and x3, and if no, a peak exists between x2 and x3PmaxNo other wave peak exists on the left;
whether other peaks exist among x3, x4, x5, x6 and the like is sequentially judged by a method similar to the steps. If P ismaxAnd if no peak exists on the left side and the right side, the target channel is a single peak, otherwise the peak type of the target channel is a multi-peak.
A determining swallow wave identification unit 404, configured to determine a swallow wave start position and a swallow wave end position on the target channel according to the peak type and an intersection point of the fourth interpolation curve and the fourth reference line.
Preferably, the swallowing wave identification unit includes:
a determining position subunit, configured to determine a first position of a leftmost bee and a second position of a rightmost bee on the fourth interpolation curve;
an intersection point determining subunit, configured to determine a closest intersection point of the fourth interpolation curve and the fourth reference line at the left end of the first position as a left intersection point, and determine a closest intersection point of the fourth interpolation curve and the fourth reference line at the second position as a right intersection point;
the calculating subunit is used for calculating a left pressure mean value of the fourth interpolation curve at the left end of the left intersection point and a right pressure mean value at the right end of the right intersection point;
and the determining swallowing wave identification subunit is used for determining the nearest intersection point of the fourth interpolation curve and the left pressure mean value as a swallowing wave starting position, and determining the nearest intersection point of the fourth interpolation curve and the right pressure mean value as a swallowing wave ending position.
In a specific implementation, a first position of the leftmost bee is found based on the peak determined in the determine peak type unit 403, and then the closest intersection point P is found to the left of the first positionleftCalculating the target channel at PleftLeft end pressure mean, distance P in intersection point of pressure mean and P4leftThe closest point is the start position of the swallow wave on the target channel. The identification process for the end of the swallow wave is similar to the above process, i.e. the rightmost bee is found firstSecond position, then finding the nearest intersection point P to the right of the second positionrightCalculating the target channel at PrightMean pressure at the right end, distance P in the intersection of this mean pressure with P4rightThe closest point is the swallow wave ending position on the target channel.
The present application further provides an electronic device, referring to fig. 5, a structure diagram of an electronic device provided in an embodiment of the present application, as shown in fig. 5, includes:
a memory 100 for storing a computer program;
the processor 200, when executing the computer program, may implement the following steps:
obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture, and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the resting frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the resting frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is in the swallowing frame pressure cloud picture and is located n centimeters upwards from the upper edge of the LES, and the fourth datum line is a statistical pressure value of the target channel.
Specifically, the memory 100 includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer-readable instructions, and the internal memory provides an environment for the operating system and the computer-readable instructions in the non-volatile storage medium to run. The processor 200 provides computing and control capabilities for the electronic device, and when executing the computer program stored in the memory 100, the functions of the esophageal manometry identification system described above can be realized.
The electronic equipment provided by the embodiment of the application determines each esophagus pressure measurement identifier by means of intersection points of each interpolation curve and each reference line, and compared with a mode of relying on human eye identification in the prior art, the electronic equipment is high in identification accuracy. Taking the rest frame mark as an example, for the UES position, since the pressure near the position with the maximum pressure appears to be almost the same as the position with the maximum pressure, the position with the maximum pressure observed by human eyes on the cloud picture is easy to deviate, and this way also depends on the accuracy of cloud picture drawing, and the accuracy of this application is higher by calculating and comparing the pressure of each esophagus position at the uppermost part of the rest frame pressure cloud picture and determining the position of the maximum value. For identification of the upper edge position and the lower edge position of the LES, the positions of all breathing end moments are automatically identified, the upper edge position and the lower edge position of the LES are automatically determined by utilizing intersection points of interpolation curves and median straight lines of pressure sum of all breathing end moments, the identification process of the esophagus pressure measurement identification is digitized and imaged, individual differences caused by human eye identification can be avoided, and the identification result is more accurate. In addition, the electronic equipment provided by the embodiment of the application divides the whole pressure cloud picture into a plurality of parts, so that the electronic equipment is more targeted when different pressures are calculated by identifying each identifier, the calculated amount is small, and the identification speed is high. Taking the UES position as an example, the pressure sum of all esophagus positions at the uppermost part of the resting frame pressure cloud picture only needs to be calculated, the pressure sum of the whole resting frame pressure cloud picture does not need to be calculated, the calculated amount in the identification process is reduced, and the identification speed is improved.
On the basis of the above embodiment, as a preferred implementation, referring to fig. 6, the electronic device further includes:
and an input interface 300 connected to the processor 200, for acquiring computer programs, parameters and instructions imported from the outside, and storing the computer programs, parameters and instructions into the memory 100 under the control of the processor 200. The input interface 300 may be connected to an input device for receiving parameters or instructions manually input by a user. The input device may be a touch layer covered on a display screen, or a button, a track ball or a touch pad arranged on a terminal shell, or a keyboard, a touch pad or a mouse, etc. Specifically, in the present embodiment, the values and the like of the reference lines can be input through the input interface 300.
And a display unit 400 connected to the processor 200 for displaying data transmitted by the processor 200. The display unit 400 may be a display screen on a PC, a liquid crystal display screen, or an electronic ink display screen. Specifically, in this embodiment, the identified esophageal pressure measurement markers and the like may be displayed through the display unit 400.
And a network port 500 connected to the processor 200 for performing communication connection with each external terminal device. The communication technology adopted by the communication connection can be a wired communication technology or a wireless communication technology, such as a mobile high definition link (MHL) technology, a Universal Serial Bus (USB), a High Definition Multimedia Interface (HDMI), a wireless fidelity (WiFi), a bluetooth communication technology, a low power consumption bluetooth communication technology, an ieee802.11 s-based communication technology, and the like. Specifically, in this embodiment, a resting frame pressure cloud, a swallowing frame pressure cloud, and the like may be introduced to the processor 200 through the network port 500.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk. The storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture, and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the resting frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the resting frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is in the swallowing frame pressure cloud picture and is located n centimeters upwards from the upper edge of the LES, and the fourth datum line is a statistical pressure value of the target channel.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. The utility model provides an esophagus pressure measurement sign identification system which characterized in that includes:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a resting frame pressure cloud picture and a swallowing frame pressure cloud picture and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
the rest frame identification determining module is used for determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the rest frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the rest frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
the UES channel relaxation identification module is used for determining a pressure lowest point on the UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to the intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
the swallowing wave identification determining module is used for determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is n centimeters upwards from the upper edge of the LES in the swallowing frame pressure cloud picture, the fourth datum line is a statistical pressure value of the target channel, and n is a positive number.
2. The esophageal pressure measurement identification system according to claim 1, wherein the resting frame identification determining module comprises:
the UES position determining unit is used for calculating the pressure sum of each esophagus position of the uppermost part of the resting frame pressure cloud picture and determining the esophagus position corresponding to the maximum value of the pressure sum as the UES position;
an LES position determining unit, configured to determine end-of-breath time at the lowest part of the resting frame pressure cloud, and determine an esophagus position corresponding to a maximum value of a sum of pressures at the end-of-breath time as an LES position;
and the unit for determining the upper edge and the lower edge of the LES is used for interpolating the pressure sum of each end-of-breath time to obtain a second interpolation curve, determining a median straight line of the pressure sum of each end-of-breath time, and determining the upper edge position and the lower edge position of the LES according to the intersection point of the second interpolation curve and the median straight line.
3. The esophageal manometry signature recognition system of claim 2, wherein the determining LES location unit comprises:
the intra-abdominal pressure channel subunit is used for determining a channel consistent with the intra-abdominal pressure change rule as an intra-abdominal pressure channel at the lowest part of the resting frame pressure cloud picture;
the first interpolation subunit is used for interpolating the pressure values on the intra-abdominal pressure channel to obtain a first interpolation curve and determine a first reference line; wherein the first reference line is a statistical pressure value of the intra-abdominal pressure channel;
the end-of-breath-time determining subunit is used for determining an intersection point of the first interpolation curve and the first reference line, and determining a corresponding position with a slope larger than 0 in the intersection point as an end-of-breath time;
and an LES position determining subunit, configured to determine an esophagus position corresponding to a maximum value of the pressure sum at each end-of-breath time as an LES position.
4. The esophageal manometry mark recognition system of claim 2, wherein the means for determining the LES upper and lower edge positions comprises:
the second interpolation subunit is used for interpolating the pressure sum of each end-of-breath time to obtain a second interpolation curve and determining a median straight line of the pressure sum of each end-of-breath time;
an LES upper edge position subunit, configured to determine a closest intersection point of the second interpolation curve and the median line at an upper end of the LES position as an LES upper edge position;
and an LES lower edge position determining subunit, configured to determine, as an LES lower edge position, a closest intersection point of the second interpolation curve and the median straight line at a lower end of the LES position.
5. The esophageal pressure measurement identification recognition system of claim 1, wherein the determine UES channel relaxation identification module comprises:
a UES relaxation lowest point determining unit used for determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud map as a UES relaxation lowest point;
the third interpolation unit is used for interpolating the pressure on the UES channel to obtain a third interpolation curve and determine a second reference line and a third reference line;
a UES relaxation starting position determining unit for determining a nearest intersection point of the third interpolation curve and the second reference line at the left end of the UES relaxation lowest point as a UES relaxation starting position;
and a UES relaxation ending position determining unit for determining the nearest intersection point of the third interpolation curve and the third datum line at the right end of the UES relaxation lowest point as the UES relaxation ending position.
6. The esophageal manometry signature recognition system of claim 1, wherein the determine swallow wave signature module comprises:
the pressure wave peak determining unit is used for determining the position corresponding to the pressure maximum value on the target channel as a pressure wave peak on the target channel;
the fourth interpolation unit is used for interpolating the pressure values on the target channel to obtain a fourth interpolation curve and determine a fourth reference line;
a peak type determining unit, configured to determine a peak type of the target channel according to an intersection point of the fourth interpolation curve and the fourth reference line;
and the swallowing wave identification unit is used for determining a swallowing wave starting position and a swallowing wave ending position on the target channel according to the peak type and the intersection point of the fourth interpolation curve and the fourth reference line.
7. The esophageal manometry sign recognition system of claim 6, wherein the determining swallow wave sign unit comprises:
a position determining subunit, configured to determine a first position of a leftmost peak and a second position of a rightmost peak on the fourth interpolation curve;
an intersection point determining subunit, configured to determine a closest intersection point of the fourth interpolation curve and the fourth reference line at the left end of the first position as a left intersection point, and determine a closest intersection point of the fourth interpolation curve and the fourth reference line at the second position as a right intersection point;
the calculating subunit is used for calculating a left pressure mean value of the fourth interpolation curve at the left end of the left intersection point and a right pressure mean value at the right end of the right intersection point;
and the determining swallowing wave identification subunit is used for determining the nearest intersection point of the fourth interpolation curve and the left pressure mean value as a swallowing wave starting position, and determining the nearest intersection point of the fourth interpolation curve and the right pressure mean value as a swallowing wave ending position.
8. The esophageal manometry identification system according to claim 6 or 7, wherein n is any one or a combination of any more than one of 3, 7 and 11.
9. The utility model provides an esophagus pressure measurement sign identification equipment which characterized in that includes:
a memory for storing a computer program;
a processor for implementing the following steps when executing the computer program:
obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture, and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the resting frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the resting frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is n centimeters upwards from the upper edge of the LES in the swallowing frame pressure cloud picture, the fourth datum line is a statistical pressure value of the target channel, and n is a positive number.
10. A computer-readable storage medium, having a computer program stored thereon, which when executed by a processor, performs the steps of:
obtaining a resting frame pressure cloud picture and a swallowing frame pressure cloud picture, and dividing the resting frame pressure cloud picture into N parts according to the position of an esophagus; wherein N is a positive integer greater than 1;
determining the UES position according to the pressure sum of each esophagus position at the uppermost part of the resting frame pressure cloud picture, determining the LES position according to the pressure sum of the last breath time at the lowermost part of the resting frame pressure cloud picture, and determining the LES upper edge position and the LES lower edge position according to the intersection point of the interpolation curve of the pressure sum and the median straight line at each last breath time;
determining a pressure lowest point on a UES channel corresponding to the UES position in the swallowing frame pressure cloud chart as a UES relaxation lowest point, and determining a UES relaxation starting position and a UES relaxation ending position according to an intersection point of an interpolation curve of the pressure value of the UES channel and a second datum line and a third datum line; the second datum line is a statistical pressure value at the left end of the UES lowest loose point, and the third datum line is a statistical pressure value at the right end of the UES lowest loose point;
determining the position corresponding to the maximum pressure value on the target channel as the highest pressure wave point on the target channel, and determining the peak type, the swallowing wave starting position and the swallowing wave ending position of the target channel according to the intersection point of the interpolation curve of the pressure value of the target channel and the fourth datum line; the target channel is a channel which is n centimeters upwards from the upper edge of the LES in the swallowing frame pressure cloud picture, the fourth datum line is a statistical pressure value of the target channel, and n is a positive number.
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