CN109686437A - Surgical device parameter setting platform - Google Patents
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- CN109686437A CN109686437A CN201910013684.1A CN201910013684A CN109686437A CN 109686437 A CN109686437 A CN 109686437A CN 201910013684 A CN201910013684 A CN 201910013684A CN 109686437 A CN109686437 A CN 109686437A
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- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
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- A61M2205/00—General characteristics of the apparatus
- A61M2205/33—Controlling, regulating or measuring
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Abstract
Medical treatment equipment is usually the equipment that sustains life, so must be designed and its reliably, key is the monitoring of physiologic variables and exports the control of energy.The time of energy output will meet physiology sequence, and output dose is safe and effective.It is higher that surgical device generally exports energy level.It must be taken into consideration and avoid the occurrence of excessive blood loss, resection organization's excess or cause delayed healing, and surgical time can be made to shorten using after equipment.Surgical device typically belongs to short-period used equipment.In use, being anaesthetized sometimes for patient.Thus, the reciprocation of the output of equipment and patient seldom or do not have.And internal medicine equipment majority is the care appliances of long-term or chronic application.The present invention relates to a kind of surgical device parameter setting platforms.Through the invention, the automated setting of surgical device parameter is realized.
Description
Technical field
The present invention relates to therapeutic equipment field more particularly to a kind of surgical device parameter setting platforms.
Background technique
Medical treatment equipment is usually the equipment that sustains life, so must be designed and its reliably, key is physiology
The monitoring of variable and the control for exporting energy.The time of energy output will meet physiology sequence, and output dose is safe and effective.
It is higher that surgical device generally exports energy level.Must be taken into consideration avoid the occurrence of excessive blood loss, resection organization it is excessive or
Delayed healing is caused, and surgical time can be made to shorten using after equipment.
Surgical device typically belongs to short-period used equipment.In use, being anaesthetized sometimes for patient.Thus, equipment
Output and patient reciprocation seldom or do not have.And internal medicine equipment majority is over a long time or the nursing of chronic application is set
It is standby.The output of equipment and the physiological status of patient should have fine reciprocation, occur to avoid with the physiological activity of patient itself
Competition or confrontation.High-grade internal medicine equipment is automated product, such as treats automatic cardiac pacemaker, the automatic defibrillation of arrhythmia cordis
Device treats the servo breathing machine etc. of respiratory disorder.
Summary of the invention
The present invention at least has inventive point crucial at following three: (1) with the multiple images to be processed of history for reference to determination
Background image determines each foreground pixel point by randomization judgment model, ensure that the clean of foreground image on this basis
Segmentation；(2) position of each centroid based on spot zone each in image determines the filter that filtering operation is executed to described image
The development length of wave framework, the more direction of centroid, the filtering framework is smaller, realizes based on image data distribution situation
Adaptive-filtering processing；(3) benchmark average brightness value image is introduced compared with image carries out average brightness value after enhancing processing, and
It is compared just for the average brightness value of upper left corner area, effectively to save calculation resources, reduces equipment power dissipation.
According to an aspect of the present invention, a kind of surgical device parameter setting platform is provided, the platform includes:
Affine transformation equipment adopts scene progress Image Acquisition scene obtained where synchronized model ventilator for receiving
Collect image, determines the background complexity in the scene acquisition image, the scene is adopted based on background complexity determination
Collection image carries out the images fragment quantity of average segmentation, and the background complexity is higher, carries out to scene acquisition image flat
The images fragment quantity divided is more, is executed respectively at the affine transformation based on images fragment torsion resistance to each images fragment
To obtain each affine transformation fragment, images fragment torsion resistance is bigger for reason operation, handles the affine transformation that images fragment executes
Operating force is bigger, and each affine transformation fragment is combined to obtain changing image.
More specifically, in the surgical device parameter setting platform, further includes:
Histogram modification equipment is connect with the affine transformation equipment, for receiving the changing image, to it is described
Changing image executes the image enhancement processing based on histogram modification, to obtain and export corresponding histogram modification image；
SGRAM stores equipment, for being stored in advance benchmark average brightness value image, in the benchmark average brightness value image
The average brightness value of each region all transfinite.
In the surgical device parameter setting platform, further includes:
Equipment is compared in region, connect, is used for institute with the histogram modification equipment and SGRAM storage equipment respectively
State the average brightness value of the upper left corner area in histogram modification image and the upper left angular region of the benchmark average brightness value image
The average brightness value in domain is compared, when the average brightness value of the upper left corner area in the histogram modification image is more than described
When the average brightness value of the upper left corner area of benchmark average brightness value image, issues average brightness value and close mark signal, when described straight
The average brightness value of upper left corner area in side's figure amendment image is less than the upper left angular region of the benchmark average brightness value image
When the average brightness value in domain, issues average brightness value and do not conform to mark signal；
Enhance equipment again, equipment connects compared with the region, for not conforming to mark receiving the average brightness value
When signal, reuses Histogram Modification Methods and image enhancement operation is executed to the histogram modification image, to be increased again
Strong image is also used to when receiving average brightness value and closing mark signal, directly using the histogram modification image as increasing again
Strong image output；
Range adjusts equipment, connect with the equipment of enhancing again, for enhancing image again described in receiving, to it is described again
Secondary enhancing image executes dynamic range enhancing action, to obtain the image after carrying out dynamic range enhancing action and mention as range
Rise image；
Zone location equipment is connect with range adjustment equipment, image is promoted for receiving the range, to the model
The bright spot detection promoted in image is enclosed, to obtain each spot zone in the range promotion image, is based on each bright spot
Position of the centroid of position and the spot zone of the region in range promotion image in the spot zone is true
The centroid of each fixed spot zone promotes the position in image in the range；
Framework extract equipment is connect with the zone location equipment, each in the range promotion image for receiving
Each position of centroid, and filtering framework shape is determined based on each position of each centroid, wherein the more side of centroid
To the development length of the filtering framework is smaller.
Specific embodiment
The embodiment of surgical device parameter setting platform of the invention will be described in detail below.
Ventilator Microcomputer degree determines the class of ventilator, shows: (1) having self-checking function after being switched on.(2) event occurs
There is screen prompt when barrier, it is easy to repair.(3) perfect warning function, if oxygen supplies, gas is supplied, minute ventilation, in pressure
Limit, low pressure limit, respiratory rate, tidal volume, asphyxia ventilation, background ventilation setting, machine disconnect, gas leakage and air leakage, flow
Sensor, working condition, all too many levels such as oxygen flow ensure mechanical ventilation safety, and clinician can be according to patient condition tune
The alarm range of whole parameter setting.(4) other specific functions, including suction sputum function, atomizing functions, function of holding one's breath (including air-breathing
Hold one's breath with expiration, meet and shine rabat needs), lock machine function (prevents ventilation parameters from arbitrarily being changed).
In order to overcome the shortcomings of on synchronized model Use of respirator, it is flat that the present invention has built a kind of surgical device parameter setting
Platform.
The surgical device parameter setting platform shown according to an embodiment of the present invention includes:
Affine transformation equipment adopts scene progress Image Acquisition scene obtained where synchronized model ventilator for receiving
Collect image, determines the background complexity in the scene acquisition image, the scene is adopted based on background complexity determination
Collection image carries out the images fragment quantity of average segmentation, and the background complexity is higher, carries out to scene acquisition image flat
The images fragment quantity divided is more, is executed respectively at the affine transformation based on images fragment torsion resistance to each images fragment
To obtain each affine transformation fragment, images fragment torsion resistance is bigger for reason operation, handles the affine transformation that images fragment executes
Operating force is bigger, and each affine transformation fragment is combined to obtain changing image.
Then, continue that the specific structure of surgical device parameter setting platform of the invention is further detailed.
In the surgical device parameter setting platform, further includes: histogram modification equipment, with the affine transformation equipment
Connection executes the image enhancement processing based on histogram modification to the changing image for receiving the changing image,
To obtain and export corresponding histogram modification image；SGRAM stores equipment, for benchmark average brightness value figure to be stored in advance
The average brightness value of picture, each region in the benchmark average brightness value image all transfinites.
In the surgical device parameter setting platform, further includes:
Equipment is compared in region, connect, is used for institute with the histogram modification equipment and SGRAM storage equipment respectively
State the average brightness value of the upper left corner area in histogram modification image and the upper left angular region of the benchmark average brightness value image
The average brightness value in domain is compared, when the average brightness value of the upper left corner area in the histogram modification image is more than described
When the average brightness value of the upper left corner area of benchmark average brightness value image, issues average brightness value and close mark signal, when described straight
The average brightness value of upper left corner area in side's figure amendment image is less than the upper left angular region of the benchmark average brightness value image
When the average brightness value in domain, issues average brightness value and do not conform to mark signal；
Enhance equipment again, equipment connects compared with the region, for not conforming to mark receiving the average brightness value
When signal, reuses Histogram Modification Methods and image enhancement operation is executed to the histogram modification image, to be increased again
Strong image is also used to when receiving average brightness value and closing mark signal, directly using the histogram modification image as increasing again
Strong image output；
Range adjusts equipment, connect with the equipment of enhancing again, for enhancing image again described in receiving, to it is described again
Secondary enhancing image executes dynamic range enhancing action, to obtain the image after carrying out dynamic range enhancing action and mention as range
Rise image；
Zone location equipment is connect with range adjustment equipment, image is promoted for receiving the range, to the model
The bright spot detection promoted in image is enclosed, to obtain each spot zone in the range promotion image, is based on each bright spot
Position of the centroid of position and the spot zone of the region in range promotion image in the spot zone is true
The centroid of each fixed spot zone promotes the position in image in the range；
Framework extract equipment is connect with the zone location equipment, each in the range promotion image for receiving
Each position of centroid, and filtering framework shape is determined based on each position of each centroid, wherein the more side of centroid
To the development length of the filtering framework is smaller；
Color collecting device is connect, for receiving respectively with the zone location equipment and the framework extract equipment
It states range and promotes image, obtain red color components value, green components value and indigo plant that the range promotes each pixel in image
Color signal component value is also used to receive the filtering framework；
Movement executes equipment, connect with the color collecting device, for using each pixel as subject image vegetarian refreshments
It executes following movement: the range is promoted into the intracorporal each pixel of filtering frame in image centered on the subject image vegetarian refreshments
Select as each reference image vegetarian refreshments, by for the red color components value of the reference image vegetarian refreshments of the centroid of luminance area, green components value and
Blue component value replaces with the red color components value, green components value and blue component value of the subject image vegetarian refreshments, to described right
As the red color components value of the intracorporal each pixel of filtering frame centered on pixel is averaged to obtain the object pixel
Point processing after red color components value, by centered on the subject image vegetarian refreshments filtering the intracorporal each pixel of frame green at
Score value is averaged to obtain green components value after the processing of the subject image vegetarian refreshments, centered on to the subject image vegetarian refreshments
The blue component value of the filtering intracorporal each pixel of frame average with obtain after the processing of the subject image vegetarian refreshments blue at
Score value；
Data unit equipment executes equipment with the movement and connect, to promote each picture in image based on the range
Blue component value obtains the range and promotes image after green components value and processing after red color components value, processing after the processing of vegetarian refreshments
Corresponding color treatments image；
Number detection device is connect with data unit equipment, for all foreground pixel points based on color treatments image
Foreground image is formed, and face recognition is carried out to obtain corresponding patient code to foreground image；
Pressure adjustment device is connect with number detection device and synchronized model ventilator respectively, for based on the trouble received
Person numbers the maximum pressure value for setting and adjusting corresponding synchronized model ventilator release positive pressure or negative pressure.
In the surgical device parameter setting platform: in the data unit equipment, the range promotes image
Resolution ratio is identical as the resolution ratio of image after the processing.
In the surgical device parameter setting platform: it includes that average brightness value reception is set that equipment is compared in the region
Standby, the more sub- equipment of average brightness value and signal output apparatus, the more sub- equipment of average brightness value respectively with it is described average
Brightness value receives sub- equipment and connects with the signal output apparatus.
In the surgical device parameter setting platform: comparing in equipment in the region, the average brightness value receives
Sub- equipment, the more sub- equipment of the average brightness value and the signal output apparatus are integrated in same ASIC device.
In the surgical device parameter setting platform: the zone location equipment is also used to promote image in the range
In when any spot zone has not been obtained, issue bright spot and signal be not present.
In the surgical device parameter setting platform: it includes the sub- equipment of data receiver, data that the movement, which executes equipment,
It handles sub- equipment and data sends sub- equipment.
In the surgical device parameter setting platform: being executed in equipment in the movement, the sub- equipment of data receiver
It is connect with the sub- equipment of the data processing, the sub- equipment of data processing sends sub- equipment with the data and connect.
In addition, SGRAM is the abbreviation of Synchronous Graphics DRAM, mean that synchronous figure RAM is that kind aims at
The video memory of video card design, is a kind of stronger video memory of figure literacy, is improved by SDRAM.It improves over inefficient
The lower disadvantage of energy video memory transmission rate, to show that the raising of card performance creates condition.SGRAM is not to read one by one when reading and writing data
It takes, but is that unit improves the effect of graphics controller to reduce the number that memory is integrally read and write with " block " (Block)
Rate.But its design and manufacture cost is higher, is more to be applied to video card more high-end at that time.Current such video memory is also substantially
It is not used by manufacturer, replaced DDR video memory.SDRAM, i.e. Synchronous DRAM (synchronous DRAM), once
A kind of type of memory most widely used on PC computer, even if today SDRAM still also market occupy a seat it
Ground.Since being " synchronous DRAM ", that operating rate that just represent it is and system bus speed sync.
Sdram memory is divided into the different sizes such as PC66, PC100, PC133 again, and the subsequent number of specification just represents memory maximum
Institute's energy malfunctioning systems bus speed, such as PC100, that just illustrates that this memory can be in the computer that system bus is 100MHz
Middle synchronous working.It is that is, synchronous with system clock with system bus speed sync, unnecessary waiting week is avoided in this way
Phase reduces time data memory.Synchronization also makes storage control know used in which clock pulses phase by request of data, because
This data can just start to transmit in the pulse rising stage.SDRAM uses 3.3 volts of operating voltages, the DIMM interface of 168Pin, and bandwidth is
64.SDRAM is not only applied on memory, also relatively conventional on video memory.SDRAM can work asynchronously with CPU, N-free diet method week
Phase reduces data transfer delay.
Using surgical device parameter setting platform of the invention, needed for synchronized model ventilator positive/negative-pressure in the prior art
It the technical issues of artificial setting, by number detection device, is connect with data unit equipment, for based on color treatments image
All foreground pixel points form foreground image, and carry out face recognition to foreground image to obtain corresponding patient code；Pressure
Adjustment equipment is connect with number detection device and synchronized model ventilator respectively, for being set simultaneously based on the patient code received
Adjust the maximum pressure value of corresponding synchronized model ventilator release positive pressure or negative pressure；To solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (9)
1. a kind of surgical device parameter setting platform, the platform include:
Affine transformation equipment carries out Image Acquisition scene acquisition figure obtained to scene where synchronized model ventilator for receiving
Picture determines the background complexity in the scene acquisition image, determines to acquire the scene based on the background complexity and scheme
Images fragment quantity as carrying out average segmentation, the background complexity is higher, carries out average mark to scene acquisition image
The images fragment quantity cut is more, executes the processing behaviour of the affine transformation based on images fragment torsion resistance respectively to each images fragment
Make to obtain each affine transformation fragment, images fragment torsion resistance is bigger, the affine transformation processing operation executed to images fragment
Dynamics is bigger, and each affine transformation fragment is combined to obtain changing image.
2. surgical device parameter setting platform as described in claim 1, which is characterized in that the platform further include:
Histogram modification equipment is connect with the affine transformation equipment, for receiving the changing image, has been converted to described
Image executes the image enhancement processing based on histogram modification, to obtain and export corresponding histogram modification image；
SGRAM stores equipment, each in the benchmark average brightness value image for benchmark average brightness value image to be stored in advance
The average brightness value in a region all transfinites.
3. surgical device parameter setting platform as claimed in claim 2, which is characterized in that the platform further include:
Equipment is compared in region, connect respectively with the histogram modification equipment and SGRAM storage equipment, and being used for will be described straight
The upper left corner area of the average brightness value and benchmark average brightness value image of upper left corner area in side's figure amendment image
Average brightness value is compared, when the average brightness value of the upper left corner area in the histogram modification image is more than the benchmark
When the average brightness value of the upper left corner area of average brightness value image, issues average brightness value and close mark signal, when the histogram
The average brightness value of upper left corner area in amendment image is less than the upper left corner area of the benchmark average brightness value image
When average brightness value, issues average brightness value and do not conform to mark signal；
Enhance equipment again, equipment connects compared with the region, for not conforming to mark signal receiving the average brightness value
When, it reuses Histogram Modification Methods and image enhancement operation is executed to the histogram modification image, to obtain enhancing figure again
Picture is also used to directly scheme the histogram modification image as enhancing again when receiving average brightness value conjunction mark signal
As output；
Range adjusts equipment, connect with the equipment of enhancing again, for enhancing image again described in receiving, increases again to described
Strong image executes dynamic range enhancing action, is schemed using obtaining the image after carrying out dynamic range enhancing action and being promoted as range
Picture；
Zone location equipment is connect with range adjustment equipment, is promoted image for receiving the range, is mentioned to the range
The bright spot detection in image is risen, to obtain each spot zone in the range promotion image, is based on each spot zone
Position of the centroid of position and the spot zone in image in the spot zone is promoted in the range to determine often
The centroid of one spot zone promotes the position in image in the range；
Framework extract equipment is connect with the zone location equipment, for receiving each centroid in the range promotion image
Each position, and based on each position of each centroid determine filtering framework shape, wherein the more direction of centroid,
The development length of the filtering framework is smaller；
Color collecting device is connect, for receiving the model respectively with the zone location equipment and the framework extract equipment
Enclose promotion image, obtain the range promoted the red color components value, green components value and blue of each pixel in image at
Score value is also used to receive the filtering framework；
Movement executes equipment, connect with the color collecting device, for executing each pixel as subject image vegetarian refreshments
It acts below: the range being promoted to the intracorporal each pixel of the filtering frame in image centered on the subject image vegetarian refreshments and is made
It, will be for the red color components value, green components value and blue of the reference image vegetarian refreshments of the centroid of luminance area for each reference image vegetarian refreshments
Signal component value replaces with the red color components value, green components value and blue component value of the subject image vegetarian refreshments, to the subject image
The red color components value of the intracorporal each pixel of filtering frame centered on vegetarian refreshments is averaged to obtain the subject image vegetarian refreshments
Red color components value after processing, by the green components value to the filtering intracorporal each pixel of frame centered on the subject image vegetarian refreshments
It averages to obtain green components value after the processing of the subject image vegetarian refreshments, to the filtering centered on the subject image vegetarian refreshments
The blue component value of the intracorporal each pixel of frame is averaged to obtain blue component value after the processing of the subject image vegetarian refreshments；
Data unit equipment executes equipment with the movement and connect, to promote each pixel in image based on the range
Processing after blue component value obtains the range to promote image corresponding after green components value and processing after red color components value, processing
Color treatments image；
Number detection device is connect with data unit equipment, for all foreground pixel points composition based on color treatments image
Foreground image, and face recognition is carried out to obtain corresponding patient code to foreground image；
Pressure adjustment device is connect with number detection device and synchronized model ventilator respectively, for being compiled based on the patient received
Number set and adjust the maximum pressure value of corresponding synchronized model ventilator release positive pressure or negative pressure.
4. surgical device parameter setting platform as claimed in claim 3, it is characterised in that:
In the data unit equipment, the range promotes the resolution ratio and the resolution ratio phase of image after the processing of image
Together.
5. surgical device parameter setting platform as claimed in claim 4, it is characterised in that:
It includes that the sub- equipment of average brightness value reception, the more sub- equipment of average brightness value and signal output are set that equipment is compared in the region
Standby, sub- equipment is received with the average brightness value respectively for the more sub- equipment of average brightness value and the signal output apparatus connects
It connects.
6. surgical device parameter setting platform as claimed in claim 5, it is characterised in that:
Compare in equipment in the region, the average brightness value receive sub- equipment, the more sub- equipment of the average brightness value and
The signal output apparatus is integrated in same ASIC device.
7. surgical device parameter setting platform as claimed in claim 6, it is characterised in that:
The zone location equipment is also used to issue bright spot not when the range is promoted and any spot zone has not been obtained in image
There are signals.
8. surgical device parameter setting platform as claimed in claim 7, it is characterised in that:
It includes that the sub- equipment of data receiver, the sub- equipment of data processing and data send sub- equipment that the movement, which executes equipment,.
9. surgical device parameter setting platform as claimed in claim 8, it is characterised in that:
It is executed in equipment in the movement, the sub- equipment of data receiver is connect with the sub- equipment of the data processing, the data
Sub- equipment is handled to connect with the sub- equipment of data transmission.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910013684.1A CN109686437A (en) | 2019-01-08 | 2019-01-08 | Surgical device parameter setting platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910013684.1A CN109686437A (en) | 2019-01-08 | 2019-01-08 | Surgical device parameter setting platform |
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| CN109686437A true CN109686437A (en) | 2019-04-26 |
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