CN113797445A - Early intelligent rescue system for neonatal apnea - Google Patents
Early intelligent rescue system for neonatal apnea Download PDFInfo
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- A61N1/00—Electrotherapy; Circuits therefor
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36014—External stimulators, e.g. with patch electrodes
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Abstract
The invention discloses an early intelligent rescue system for neonatal apnea, which comprises: the monitoring device is used for monitoring skin color, heart rate and blood oxygen of the neonate; the analysis device is used for analyzing the monitoring result of the monitoring device and inputting the analysis result into a preset risk judgment model for judgment so as to obtain a risk grade; the stimulation device is used for judging whether to trigger the stimulation device to act according to the risk level; the monitoring device, the analysis device, the risk judgment model and the stimulation device are connected in sequence. The invention monitors skin color, heart rate and blood oxygen of the neonate through the monitoring device, analyzes the monitoring result through the analyzing device and inputs the analyzing result into the preset risk judging model for judgment so as to obtain the risk level, and finally, the stimulating device judges whether to trigger according to the risk level, so that whether apnea exists or not can be automatically judged, and when the apnea exists, the stimulating device can automatically stimulate.
Description
Technical Field
The invention relates to the technical field of neonatal rescue, in particular to an early intelligent rescue system for neonatal apnea.
Background
Neonatal apnea refers to the cessation of gas communication or respiratory cessation of operation for more than twenty seconds in the respiratory system of a neonate, with or without a decrease in heart rate, for three common reasons: the first is the most common infection, the second is the factor of premature delivery, the respiratory center of the premature infant is not developed perfectly, the third is hunger, cold and stimulation from the outside, and the early neonatal apnea in clinic can be stimulated in vitro by touching or stroking the back and pelma of the newborn so as to achieve the effect of improving the apnea.
At present, a nurse artificially discovers apnea or an electrocardio alarm, and the condition of neglecting discovery is very easy to occur due to untimely and inexistent patrol of the nurse or failure of the electrocardio alarm, so that the newborn is dangerous. For this reason, there is a need to develop an early intelligent rescue system for neonatal apnea that can achieve automatic monitoring and automatic stimulation.
Disclosure of Invention
The invention aims to provide an early intelligent rescue system for neonatal apnea, which overcomes the defects in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an early intelligent rescue system for neonatal apnea comprising:
the monitoring device is used for monitoring skin color, heart rate and blood oxygen of the neonate;
the analysis device is used for analyzing the monitoring result of the monitoring device and inputting the analysis result into a preset risk judgment model for judgment so as to obtain a risk grade;
the stimulation device is used for judging whether to trigger the stimulation device to act according to the risk level;
the monitoring device, the analysis device, the risk judgment model and the stimulation device are connected in sequence.
Further, the monitoring device includes:
the acquisition module is used for acquiring at least one photo of the newborn within a preset time period, wherein the photo at least comprises the face and the tip parts of hands and feet of the newborn;
the ECG blood oxygen detector is used for monitoring the heart rate and blood oxygen of the newborn;
the acquisition module and the ECG oximeter are connected with the analysis device.
Further, the acquisition module comprises:
the detection module is used for detecting whether the face and the tip parts of the hands and the feet of the newborn are in the shooting module;
the shooting module is used for shooting when the detection module judges that the face and the tip parts of the hands and the feet of the newborn are in the shooting module, so as to obtain a newborn picture;
the judging module is used for judging whether the newborn picture shot by the shooting module has highlight reflection, and if so, discarding the picture and shooting again;
the detection module, the shooting module and the judgment module are connected in sequence.
Further, the analysis device includes:
the picture analysis module is used for analyzing whether the colors of the faces, the hand and foot peripheral parts of the newborn babies in the pictures are bluish purple or not;
the heart rate analysis module is used for analyzing whether the heart rate value exceeds a preset first threshold value or not;
the blood oxygen analysis module is used for analyzing whether the oxygen value exceeds a second threshold value;
the comprehensive input module is used for combining the analysis results of the photo analysis module, the heart rate analysis module and the blood oxygen analysis module according to a preset format;
the photo analysis module, the heart rate analysis module and the blood oxygen analysis module are all connected with the comprehensive input module.
Further, the preset format in the integrated input module is: oxygen value, heart rate value and photo analysis results.
Further, the photo analysis module includes:
the picture segmentation module is used for segmenting the neonatal picture and screening out a face sub-picture or/and a hand and foot tip sub-picture;
the color mode conversion module is used for performing color mode conversion on the face sub-photo or/and the hand and foot tip sub-photo to respectively obtain RGB color values of the face sub-photo or/and the RGB color values of the hand and foot tip sub-photo;
the photo abbreviating module is used for abbreviating the face sub-photo or/and the hand and foot tip sub-photo according to a preset resolution ratio and storing the abbreviated photo;
the color judgment module is used for judging whether the RGB color values of the generated face sub-photos or/and the RGB color values of the hand and foot tip sub-photos are consistent with the cyan-purple RGB color values or not and outputting judgment results;
the photo segmentation module, the color mode conversion module and the color judgment module are sequentially connected, and the photo contraction module is connected with the photo segmentation module.
Further, the photo analysis module further comprises:
the position acquisition module is used for carrying out position detection on the neonatal photo so as to judge whether the face or/and the hand and foot tip parts exist in the neonatal photo, and if the face or/and the hand and foot tip parts exist in the neonatal photo, the neonatal photo is segmented by the photo segmentation module;
the position acquisition module is connected with the photo segmentation module.
Further, the risk judgment is carried out in the risk judgment model according to a priority judgment rule:
if the average value of the gas oxygen values in a set time period exceeds a second threshold value, outputting a high risk grade;
if the average value of the gas oxygen value in a set time period does not exceed a second threshold value and the average value of the heart rate value in the set time period exceeds a first threshold value, outputting a high risk level;
if the average value of the oxygen value in the set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period does not exceed the first threshold value, and if the RGB color values of the face sub-picture and the RGB color values of the hand and foot tip sub-picture are consistent with the bluish purple RGB color values, outputting a middle risk level;
and if the average value of the oxygen value in the set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period does not exceed the first threshold value, and if the RGB color value of the face sub-picture or the RGB color value of the hand and foot tip sub-picture is consistent with the bluish purple RGB color value, outputting a low risk level.
Further, the stimulation device includes:
the identification module is used for identifying the risk level output by the risk judgment model;
the two groups of electrode modules stimulate according to the risk grade and a preset stimulation model;
the alarm module is used for alarming according to the risk level and a preset stimulation model;
the identification module is connected with the two groups of electrode modules and the alarm module.
Further, the stimulation model is: and if the identification module identifies that a high risk level exists, the two groups of electrode modules and the alarm module act, if the identification module identifies that a medium risk level exists, the one group of electrode modules and the alarm module act, and if the identification module identifies that a low risk exists, the alarm module acts and continues to carry out risk judgment according to the priority judgment rule.
Compared with the prior art, the invention has the advantages that: the invention provides an early intelligent rescue system for neonatal apnea, which monitors skin color, heart rate and blood oxygen of a neonate through a monitoring device, analyzes a monitoring result through an analysis device, inputs the analysis result into a preset risk judgment model for judgment to obtain a risk level, judges whether triggering exists or not according to the risk level through a stimulation device, can automatically judge whether apnea exists or not through the rescue system, and can automatically stimulate through the stimulation device when apnea exists. The invention realizes the purposes of automatic monitoring and automatic pricking.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of an early intelligent rescue system for neonatal apnea of the present invention.
Fig. 2 is a schematic diagram of a monitoring device in the early intelligent rescue system for neonatal apnea of the present invention.
Fig. 3 is a schematic diagram of the acquisition module in the early intelligent rescue system for neonatal apnea of the present invention.
Fig. 4 is a schematic diagram of an analysis device in the early intelligent rescue system for neonatal apnea of the present invention.
Fig. 5 is a schematic diagram of a photo analysis module in the early intelligent rescue system for neonatal apnea of the present invention.
Fig. 6 is a schematic diagram of a stimulation device in the early intelligent rescue system for neonatal apnea of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.
Referring to fig. 1, the embodiment discloses an early intelligent rescue system for neonatal apnea, comprising: the monitoring device 1 is used for monitoring skin color, heart rate and blood oxygen of a newborn; the analysis device 2 is used for analyzing the monitoring result of the monitoring device and inputting the analysis result into a preset risk judgment model 3 for judgment so as to obtain a risk grade; the stimulation device 3 is used for judging whether to trigger the stimulation device 3 to act according to the risk level; the monitoring device 1, the analysis device 2, the risk judgment model 3 and the stimulation device 4 are connected in sequence.
Referring to fig. 2, the monitoring device 1 includes: the acquisition module 10 is used for acquiring at least one photo of the newborn within a preset time period, wherein the photo at least comprises the face and the tip parts of hands and feet of the newborn so as to facilitate the subsequent photo analysis; an electro-cardio-blood oxygen detector 11 for monitoring the heart rate and blood oxygen of the neonate; the acquisition module 10 and the electro-cardio blood oxygen detector 11 are both connected with the analysis device 2.
In this embodiment, the conventional oximeter 11 may be purchased directly.
Referring to fig. 3, the acquisition module 10 includes: a detection module 100 for detecting whether the facial and hand and foot distal parts of the neonate are present in the photographing module 110, which may be by a method of key point monitoring, such as whether facial feature points and hand and foot feature points are present in the range of the photographing module 110; a shooting module 110, configured to shoot when the detection module 100 determines that the face and the distal portions of the hands and feet of the neonate are present in the shooting module 110, so as to obtain a picture of the neonate; a judging module 120, configured to judge whether a highlight reflection exists in the neonatal photograph taken by the photographing module 110, and if so, discard the photograph and re-photograph the neonatal photograph; the detection module 100, the shooting module 110 and the judgment module 120 are connected in sequence.
In this embodiment, the step of determining whether there is highlight reflection in the neonatal photo taken by the taking module 110 includes: and judging the highlight reflection coefficient in the picture, if the highlight reflection coefficient is larger than a set value, judging that highlight reflection exists, and otherwise, judging that highlight reflection does not exist.
Referring to fig. 4, the analysis device 2 includes: a picture analysis module 20 for analyzing whether the color of the face and the distal parts of the hands and feet of the newborn baby in the picture is bluish purple; the heart rate analysis module 21 is configured to analyze whether a heart rate value exceeds a preset first threshold, where the first threshold may be set according to a requirement, and is adjusted to be smaller if the sensitivity is high, and is adjusted to be larger if the sensitivity is high; the blood oxygen analysis module 22 is configured to analyze whether the oxygen value exceeds a second threshold, where the second threshold may also be set according to a requirement, and if the sensitivity is high, the second threshold is decreased, and if the sensitivity is high, the second threshold is increased; the comprehensive input module 23 is configured to combine the analysis results of the photo analysis module 20, the heart rate analysis module 21 and the blood oxygen analysis module 22 according to a preset format; the photo analysis module 20, the heart rate analysis module 21 and the blood oxygen analysis module 22 are all connected with the integrated input module 23.
In this embodiment, the format preset in the integrated input module 23 is: the format in the comprehensive input module 23 can facilitate the judgment of the subsequent risk judgment model according to the priority judgment rule, so that the judgment efficiency is improved.
Referring to fig. 5, the photo analysis module 20 includes: a picture segmentation module 202, configured to segment the neonatal picture and screen out a facial sub-picture or/and a hand-foot distal part sub-picture; the color mode conversion module 203 is configured to perform color mode conversion on the face sub-picture or/and the hand and foot tip sub-picture to obtain RGB color values of the face sub-picture or/and the hand and foot tip sub-picture, respectively; the photo abbreviating module 204 is used for abbreviating the face sub-photo or/and the hand and foot tip sub-photo according to a preset resolution, so that the calculation amount and the chip operation pressure can be reduced, and the abbreviated photo can be stored; the color judgment module 205 is configured to judge whether the RGB color values of the generated face sub-picture or/and the RGB color values of the hand and foot tip sub-picture are consistent with the cyan-purple RGB color values, and output a judgment result; the photo segmentation module 202, the color mode conversion module 203 and the color judgment module 205 are connected in sequence, and the photo thumbnail module 204 is connected with the photo segmentation module 202.
In this embodiment, the photo analysis module 20 further includes: a position acquisition module 201, configured to perform position detection on the neonatal photograph, where the position detection may be performed by the aforementioned method for monitoring key points to determine whether a face or/and a distal portion of a hand and a foot exist in the neonatal photograph, and if the face or/and the distal portion of the hand and the foot exist in the neonatal photograph, the image segmentation module 202 performs segmentation; the position acquisition module 201 is connected to the photo segmentation module 202.
Specifically, in this embodiment, the risk judgment module performs risk judgment according to a priority judgment rule:
and if the average value of the gas oxygen values in a set time period exceeds a second threshold value, outputting a high risk level.
And if the average value of the gas oxygen value in a set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period exceeds the first threshold value, outputting a high risk level.
And if the average value of the qi and oxygen values in the set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period does not exceed the first threshold value, and if the RGB color values of the face sub-picture and the RGB color values of the hand and foot tip sub-picture are consistent with the bluish purple RGB color values, outputting the middle risk level.
And if the average value of the oxygen value in the set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period does not exceed the first threshold value, and if the RGB color value of the face sub-picture or the RGB color value of the hand and foot tip sub-picture is consistent with the bluish purple RGB color value, outputting a low risk level.
Referring to fig. 6, the stimulation device 4 includes: the identification module 40 is used for identifying the risk grades output by the risk judgment model, wherein the risk grades comprise a high risk grade, a medium risk grade, a low risk grade and no risk; two groups of electrode modules 41 for stimulating according to the risk level and a preset stimulation model; the alarm module 42 alarms according to the risk level and a preset stimulation model; the identification module 40 is connected with the two groups of electrode modules 41 and the alarm module 42.
Specifically, the electrode module 42 may be an electrode plate attached to a human body, which is commonly used in the medical field, and the two electrode plates may be attached to the back and the sole of the newborn respectively.
Specifically, the alarm module 42 may be directly added to an existing nurse station alarm, and distinguish other alarm items by turning to a special alarm sound, for example, prompting that "42 patient bed has neonatal apnea risk" or the like, and may be linked to a mobile phone of a nurse or a doctor to realize alarm.
Specifically, the stimulation model is as follows: if the recognition module 40 recognizes that a high risk level exists, both the two groups of electrode modules 41 and the alarm module 42 act, if the recognition module 40 recognizes that a medium risk level exists, both the one group of electrode modules 41 and the alarm module 42 act, if the recognition module 40 recognizes that a low risk exists, the alarm module acts and continues to perform risk judgment according to the priority judgment rule, and if the recognition module 40 recognizes that no risk exists, both the two groups of electrode modules 41 and the alarm module 42 act.
When the system is used specifically, the skin color, the heart rate and the blood oxygen of a newborn are monitored through the monitoring device, the monitoring result is analyzed through the analyzing device and input into the preset risk judging model for judgment, so that the risk level is obtained, finally, whether triggering is judged through the stimulating device according to the risk level, whether apnea exists or not can be judged automatically through the rescue system, and when the apnea exists, automatic stimulation can be carried out through the stimulating device. The invention realizes the purposes of automatic monitoring and automatic pricking.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, various changes or modifications may be made by the patentees within the scope of the appended claims, and within the scope of the invention, as long as they do not exceed the scope of the invention described in the claims.
Claims (10)
1. An early intelligent rescue system for neonatal apnea, comprising:
the monitoring device is used for monitoring skin color, heart rate and blood oxygen of the neonate;
the analysis device is used for analyzing the monitoring result of the monitoring device and inputting the analysis result into a preset risk judgment model for judgment so as to obtain a risk grade;
the stimulation device is used for judging whether to trigger the stimulation device to act according to the risk level;
the monitoring device, the analysis device, the risk judgment model and the stimulation device are connected in sequence.
2. An early intelligent rescue system for neonatal apnea according to claim 1, wherein said monitoring means comprises:
the acquisition module is used for acquiring at least one photo of the newborn within a preset time period, wherein the photo at least comprises the face and the tip parts of hands and feet of the newborn;
the ECG blood oxygen detector is used for monitoring the heart rate and blood oxygen of the newborn;
the acquisition module and the ECG oximeter are connected with the analysis device.
3. The early intelligent rescue system for neonatal apnea of claim 2, wherein the acquisition module comprises:
the detection module is used for detecting whether the face and the tip parts of the hands and the feet of the newborn are in the shooting module;
the shooting module is used for shooting when the detection module judges that the face and the tip parts of the hands and the feet of the newborn are in the shooting module, so as to obtain a newborn picture;
the judging module is used for judging whether the newborn picture shot by the shooting module has highlight reflection, and if so, discarding the picture and shooting again;
the detection module, the shooting module and the judgment module are connected in sequence.
4. An early intelligent rescue system for neonatal apnea according to claim 1, characterized in that said analysis means comprises:
the picture analysis module is used for analyzing whether the colors of the faces, the hand and foot peripheral parts of the newborn babies in the pictures are bluish purple or not;
the heart rate analysis module is used for analyzing whether the heart rate value exceeds a preset first threshold value or not;
the blood oxygen analysis module is used for analyzing whether the oxygen value exceeds a second threshold value;
the comprehensive input module is used for combining the analysis results of the photo analysis module, the heart rate analysis module and the blood oxygen analysis module according to a preset format;
the photo analysis module, the heart rate analysis module and the blood oxygen analysis module are all connected with the comprehensive input module.
5. The early intelligent rescue system for neonatal apnea of claim 4, wherein the format preset in the synthesis input module is: oxygen value, heart rate value and photo analysis results.
6. The early intelligent rescue system for neonatal apnea of claim 4, wherein the photo analysis module comprises:
the picture segmentation module is used for segmenting the neonatal picture and screening out a face sub-picture or/and a hand and foot tip sub-picture;
the color mode conversion module is used for performing color mode conversion on the face sub-photo or/and the hand and foot tip sub-photo to respectively obtain RGB color values of the face sub-photo or/and the RGB color values of the hand and foot tip sub-photo;
the photo abbreviating module is used for abbreviating the face sub-photo or/and the hand and foot tip sub-photo according to a preset resolution ratio and storing the abbreviated photo;
the color judgment module is used for judging whether the RGB color values of the generated face sub-photos or/and the RGB color values of the hand and foot tip sub-photos are consistent with the cyan-purple RGB color values or not and outputting judgment results;
the photo segmentation module, the color mode conversion module and the color judgment module are sequentially connected, and the photo contraction module is connected with the photo segmentation module.
7. The early intelligent rescue system for neonatal apnea of claim 6, wherein the photo analysis module further comprises:
the position acquisition module is used for carrying out position detection on the neonatal photo so as to judge whether the face or/and the hand and foot tip parts exist in the neonatal photo, and if the face or/and the hand and foot tip parts exist in the neonatal photo, the neonatal photo is segmented by the photo segmentation module;
the position acquisition module is connected with the photo segmentation module.
8. The early intelligent rescue system for neonatal apnea of claim 6, wherein the risk judgment is performed in the risk judgment model according to a priority judgment rule:
if the average value of the gas oxygen values in a set time period exceeds a second threshold value, outputting a high risk grade;
if the average value of the gas oxygen value in a set time period does not exceed a second threshold value and the average value of the heart rate value in the set time period exceeds a first threshold value, outputting a high risk level;
if the average value of the oxygen value in the set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period does not exceed the first threshold value, and if the RGB color values of the face sub-picture and the RGB color values of the hand and foot tip sub-picture are consistent with the bluish purple RGB color values, outputting a middle risk level;
and if the average value of the oxygen value in the set time period does not exceed the second threshold value and the average value of the heart rate value in the set time period does not exceed the first threshold value, and if the RGB color value of the face sub-picture or the RGB color value of the hand and foot tip sub-picture is consistent with the bluish purple RGB color value, outputting a low risk level.
9. An early intelligent rescue system for neonatal apnea according to claim 1, wherein said stimulation means comprises:
the identification module is used for identifying the risk level output by the risk judgment model;
the two groups of electrode modules stimulate according to the risk grade and a preset stimulation model;
the alarm module is used for alarming according to the risk level and a preset stimulation model;
the identification module is connected with the two groups of electrode modules and the alarm module.
10. An early intelligent rescue system for neonatal apnea according to claim 9, wherein said stimulation model is: and if the identification module identifies that a high risk level exists, the two groups of electrode modules and the alarm module act, if the identification module identifies that a medium risk level exists, the one group of electrode modules and the alarm module act, and if the identification module identifies that a low risk exists, the alarm module acts and continues to carry out risk judgment according to the priority judgment rule.
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