CN109806091A - Extended pattern on-scene care platform - Google Patents

Extended pattern on-scene care platform Download PDF

Info

Publication number
CN109806091A
CN109806091A CN201910062487.9A CN201910062487A CN109806091A CN 109806091 A CN109806091 A CN 109806091A CN 201910062487 A CN201910062487 A CN 201910062487A CN 109806091 A CN109806091 A CN 109806091A
Authority
CN
China
Prior art keywords
image
equipment
interpolation
frequency domain
connect
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910062487.9A
Other languages
Chinese (zh)
Inventor
王云文
郭爱青
张彩霞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201910062487.9A priority Critical patent/CN109806091A/en
Publication of CN109806091A publication Critical patent/CN109806091A/en
Pending legal-status Critical Current

Links

Landscapes

  • Image Processing (AREA)

Abstract

In diagnoses and treatment, the clinical meaning of a certain inspection result is evaluated, is all the specificity and sensitivity that some diseases are diagnosed according to the project.Can occur a certain inspection of positive findings in certain disease, be indicated to the specificity of disease diagnosis, with the negative rate that the inspection occurs in the disease of the disease close but non-with the characteristic of disease matter.Negative rate is higher, specific stronger, only occurs the positive in certain disease if certain is checked, and is all feminine gender in other diseases, then the inspection is 100% to the specificity for diagnosing certain disease, i.e., very specifically.Specificity is unrelated with the positive rate height that the inspection occurs in certain disease.The present invention relates to a kind of extended pattern on-scene care platforms.Through the invention, the reliability treated to patient is improved.

Description

Extended pattern on-scene care platform
Technical field
The present invention relates to diagnoses and treatment field more particularly to a kind of extended pattern on-scene care platforms.
Background technique
In diagnoses and treatment, the clinical meaning of a certain inspection result is evaluated, is all that some diseases are diagnosed according to the project Specificity and sensitivity.Can occur a certain inspection of positive findings in certain disease, to the disease diagnosis specificity, with this The negative rate occurred in the disease of the disease close but non-with the characteristic of disease matter is checked to indicate.Negative rate is higher, and specificity is cured By force, as certain check only occur in certain disease it is positive, and in other diseases be all it is negative, then the inspection is to diagnosing the special of certain disease Property be 100%, i.e., it is very special.Specificity is unrelated with the positive rate height that the inspection occurs in certain disease, such as the Sputum positive Pulmonary tuberculosis is only come across, other pneumonia infection diseases are never come across, therefore he is extremely strong to phthisical specificity is diagnosed, but he Positive rate in pulmonary tuberculosis is not high.Specificity is to evaluate a certain diagnosis capability and certain non-disease of exclusion checked to certain disease Ability.Sensitivity is indicated with the positive rate that a certain inspection occurs in certain disease.One inspection can be in various disease There is the positive, the positive rate occurred in which disease is higher, then it represents that it is higher to the sensitivity for detecting that disease, if the inspection It looks into without any exception and Mr. Yu's disease occurs, be then 100% to the sensitivity for detecting certain disease.
Sensitivity is certain sick ability of a certain inspection detection of evaluation, not necessarily has stronger specificity to certain disease is diagnosed.Such as Examination of sugar in urine is all positive in primary diabetes mellitus, but also seen in renal glucosuria, hyperthyroidism etc. disease in, institute It is very high with sensitivity of the glycosuria to detection primary diabetes mellitus, but to the specificity for diagnosing the disease and not bery by force.Specificity and spirit Sensitivity is all to be calculated according to great mass of data with statistical method.When evaluation data, it is also noted that false positive and false negative. Having the inspection result of certain specificity to certain disease diagnosis is false positive for certain non-disease when coming across certain non-disease.Easily occur The inspection item of false positive, to the poor specificity of certain disease diagnosis, evaluation is improper will to cause mistaken diagnosis.There is natural to certain disease detection The inspection result of sensitivity is false negative for certain disease when not occurring Mr. Yu's disease.Easily there is the inspection item of false negative, to certain The poor sensitivity of disease detection is evaluated improper easily lead to and is failed to pinpoint a disease in diagnosis.
Summary of the invention
According to an aspect of the present invention, a kind of extended pattern on-scene care platform is provided, the platform includes:
Air compression type atomizer, including air compression motor, gas pipeline, medicine body container and respirator, the gas pipeline One end connect with the medicine body container, the other end is connect with the respirator.
More specifically, in the extended pattern on-scene care platform, further includes:
The rear of respirator is arranged in IP Camera, including network communication interface and imaging sensor, the IP Camera, For carrying out camera operation to the human body for wearing respirator, to obtain corresponding treatment live image.
More specifically, in the extended pattern on-scene care platform, further includes:
Signal analysis equipment is connect with the IP Camera, for receiving the treatment live image, to treatment live image Characteristic quantity after extraction is input to by input layer, output layer and multiple hidden by the extraction for carrying out the relevant characteristic quantity of interpolation processing Containing layer composition Data Analysis Model in, for successively to input layer input characteristic quantity carry out data analysis, output layer with most The latter hidden layer connection, for by the output of the result of the carries out data analysis of the last one hidden layer, wherein output layer it is defeated Output type is interpolation processing type;
Adaptive-interpolation equipment is connect with the signal analysis equipment, is controlled for receiving the interpolation processing type, and to described It treats live image and executes the interpolation operation based on the interpolation processing type, to obtain and export image after interpolation;
Recursive filtering equipment is connect with the adaptive-interpolation equipment, for receiving image after the interpolation, after the interpolation Image executes the recursive filtering processing based on noise amplitude, to obtain corresponding live filtering image, and exports the scene filter Wave image, wherein executing the recursive filtering processing based on noise amplitude to image after the interpolation includes: image after the interpolation Noise amplitude it is bigger, to after the interpolation image execute recursive filtering number of processing it is more;
Clarity extract equipment is connect with the recursive filtering equipment, for receiving the live filtering image, to the scene Filtering image executes clarity extraction operation, to obtain corresponding live clarity, and exports the live clarity, described right The scene filtering image executes clarity extraction operation, includes: based on the scene filter to obtain corresponding live clarity Each pixel value of each pixel of wave image executes clarity extraction operation to the live filtering image, to obtain correspondence Live clarity;
Data judge equipment, connect with the clarity extract equipment, for receiving the live clarity, and at the scene When clarity is more than default clarity threshold, sending stopping processing order, and be less than and preset clearly in the live clarity When clear degree threshold value, sending continues with order;
Interpolating apparatus three times judges that equipment and the clarity extract equipment are connect, for receiving with the data respectively It is described when continuing with order, image interpolation arithmetic is executed to the live filtering image using interpolation method three times, to obtain three Secondary interpolated image, and the interpolated image three times is exported, it is also used to when receiving the stopping processing order, it directly will be described Live filtering image exports the interpolated image three times as interpolated image three times;
Gamma correcting equipment is connect with the interpolating apparatus three times, for receiving interpolated image three times, determines the interpolation three times Background complexity in image determines the image that average segmentation is carried out to the interpolated image three times based on the background complexity Number of tiles, the background complexity is higher, and the images fragment quantity for carrying out average segmentation to the interpolated image three times is more, Gamma correction processing operation based on images fragment contrast is executed respectively to obtain each gamma correction to each images fragment Fragment, images fragment contrast is smaller, and the gamma correction processing operation intensity executed to images fragment is bigger, by each gamma school Positive fragment is combined to obtain and correct combination image.
The present invention at least has inventive point crucial at following two:
(1) resolution based on image to be processed sets the center image of the image to be processed in the image to be processed Block determines the quantity of the image-region in the image to be processed to be based on the central object as central object quantity Quantity occupies the ratio of whole number of objects in the image to be processed, different image filtering strategies is formulated, thus in image Reach balance between operand and image processing effect;
(2) it on the basis of executing the recursive filtering processing based on noise amplitude to image to be processed, is handled according to recursive filtering The definition judgment result of image afterwards determines whether that starting meets the interpolation three times that image data requires after recursive filtering is handled Method interpolation processing.
Specific embodiment
The embodiment of extended pattern on-scene care platform of the invention will be described in detail below.
Low dose of atomizer (small volume nebulizer, SVN) is also known as blast atomizer, manual atomizer, doctor With atomizer or wet-type atomizing device.It is at present clinically most common aerosol generating device.Working principle: compressed air (gas Body compression Compressed air nebulization device) or oxygen (driving force) with high-speed flow by thin mouth nozzle, according to Venturi effect, Negative pressure carrying receiver medical fluid is generated around nozzle to involve in high-speed flow and be ground into droplet not of uniform size, wherein 99% or more is the droplet composition of bulky grain, drops back into receiver remaining tiny droplet by the interception of nozzle collision with one Fixed speed sprays, and hits the particle fallen and is atomized again.
Bronchodilator, hormone, antiallergic and antibiotic etc can clinically be carried out using blast atomizer Atomization inspiration treatment.The certain driving air-flow amount of general blast atomizer is 6L/min-8L/min, and the medical fluid being placed in receiver is 4ml-6ml can increase certain driving air-flow to the solution high with atomization viscosity, but highest air-flow is no more than 12L/min.
In order to overcome deficiency existing for air compression type atomizer, it is flat that the present invention has built a kind of extended pattern on-scene care Platform.
The extended pattern on-scene care platform shown according to an embodiment of the present invention includes:
Air compression type atomizer, including air compression motor, gas pipeline, medicine body container and respirator, the gas pipeline One end connect with the medicine body container, the other end is connect with the respirator.
Then, continue that the specific structure of extended pattern on-scene care platform of the invention is further detailed.
In the extended pattern on-scene care platform, further includes: IP Camera, including network communication interface and image pass The rear of respirator is arranged in sensor, the IP Camera, for carrying out camera operation to the human body for wearing respirator, to obtain It obtains and treats live image accordingly.
In the extended pattern on-scene care platform, further includes:
Signal analysis equipment is connect with the IP Camera, for receiving the treatment live image, to treatment live image Characteristic quantity after extraction is input to by input layer, output layer and multiple hidden by the extraction for carrying out the relevant characteristic quantity of interpolation processing Containing layer composition Data Analysis Model in, for successively to input layer input characteristic quantity carry out data analysis, output layer with most The latter hidden layer connection, for by the output of the result of the carries out data analysis of the last one hidden layer, wherein output layer it is defeated Output type is interpolation processing type;
Adaptive-interpolation equipment is connect with the signal analysis equipment, is controlled for receiving the interpolation processing type, and to described It treats live image and executes the interpolation operation based on the interpolation processing type, to obtain and export image after interpolation;
Recursive filtering equipment is connect with the adaptive-interpolation equipment, for receiving image after the interpolation, after the interpolation Image executes the recursive filtering processing based on noise amplitude, to obtain corresponding live filtering image, and exports the scene filter Wave image, wherein executing the recursive filtering processing based on noise amplitude to image after the interpolation includes: image after the interpolation Noise amplitude it is bigger, to after the interpolation image execute recursive filtering number of processing it is more;
Clarity extract equipment is connect with the recursive filtering equipment, for receiving the live filtering image, to the scene Filtering image executes clarity extraction operation, to obtain corresponding live clarity, and exports the live clarity, described right The scene filtering image executes clarity extraction operation, includes: based on the scene filter to obtain corresponding live clarity Each pixel value of each pixel of wave image executes clarity extraction operation to the live filtering image, to obtain correspondence Live clarity;
Data judge equipment, connect with the clarity extract equipment, for receiving the live clarity, and at the scene When clarity is more than default clarity threshold, sending stopping processing order, and be less than and preset clearly in the live clarity When clear degree threshold value, sending continues with order;
Interpolating apparatus three times judges that equipment and the clarity extract equipment are connect, for receiving with the data respectively It is described when continuing with order, image interpolation arithmetic is executed to the live filtering image using interpolation method three times, to obtain three Secondary interpolated image, and the interpolated image three times is exported, it is also used to when receiving the stopping processing order, it directly will be described Live filtering image exports the interpolated image three times as interpolated image three times;
Gamma correcting equipment is connect with the interpolating apparatus three times, for receiving interpolated image three times, determines the interpolation three times Background complexity in image determines the image that average segmentation is carried out to the interpolated image three times based on the background complexity Number of tiles, the background complexity is higher, and the images fragment quantity for carrying out average segmentation to the interpolated image three times is more, Gamma correction processing operation based on images fragment contrast is executed respectively to obtain each gamma correction to each images fragment Fragment, images fragment contrast is smaller, and the gamma correction processing operation intensity executed to images fragment is bigger, by each gamma school Positive fragment is combined to obtain and correct combination image;
Analysis of object equipment is connect with the gamma correcting equipment, for receiving the correction combination image, obtains the correction Each edge pixel point in image is combined, one in the correction combination image is determined based on each edge pixel point Or one or more image-regions where multiple objects difference;
Density analysis equipment is connect, for receiving the quantity of one or more of image-regions with the analysis of object equipment The correction is set in correction combination image using the resolution as region quantity, and based on the correction combination image The center image block of image is combined, determines the quantity of image-region in the center image block using as central object quantity Output;
Divergence extract equipment is connect with the density analysis equipment, for receiving the central object quantity and the region Quantity calculates the ratio that the central object quantity occupies the region quantity, and is based on the corresponding Gauss of the ratio-dependent The divergence of curve;
Filter selects equipment, connect with the divergence extract equipment, for each of frequency domain frequency domain to be processed point Selection filter factor it is as follows: determine the frequency domain point to be processed to frequency domain origin distance, obtain the square value of the distance with As the first square value, the square value of the divergence for the Gaussian curve that the divergence extract equipment determines is determined, by the height The square value of the divergence of this curve multiplied by 2 using as the second square value, by first square value divided by described second square Result after value carries out taking negative operation to obtain exponential depth, to the exponential depth execute using natural logrithm as the index budget at bottom with Obtain the filter factor of the frequency domain point to be processed;
Image translation device is connect, for the school respectively with the analysis of object equipment and filter selection equipment Positive combination image is executed from Fourier transformation, to obtain corresponding frequency domain signal, to each of described frequency domain signal The filter factor for the frequency domain point that the frequency domain value of frequency domain point is determined multiplied by filter selection equipment is to obtain the frequency domain The filter in frequency domain value of point;
Image restorer is connect with described image conversion equipment, to obtain each frequency domain point in the frequency domain signal Each filter in frequency domain value, and frequency domain is carried out based on each filter in frequency domain value of each frequency domain point in the frequency domain signal and is arrived The transformation of time-domain combines the corresponding changing image of image with the correction to obtain;
Wherein, the air compression motor is connect with described image restorer, for based on to face in the changing image The recognition result at age determines the velocity of rotation of itself;
Wherein, in the air compression motor, the face's age recognized is smaller, and the velocity of rotation of itself determined is slower.
In the extended pattern on-scene care platform: parsing of the density analysis equipment based on the correction combination image The center image block that degree sets the correction combination image in the correction combination image includes: that image is combined in the correction Resolution is lower, and the center image block of the correction combination image of setting is smaller.
In the extended pattern on-scene care platform, further includes: PSTN communication interface connects with the interpolating apparatus three times It connects, sends the interpolated image three times for receiving the interpolated image three times, and by PSTN communication link.
In the extended pattern on-scene care platform: the recursive filtering equipment, the clarity extract equipment, the number It is judged that equipment and the interpolating apparatus three times share same supply input equipment.
In the extended pattern on-scene care platform: the interpolation processing type is that arest neighbors interpolation type or bilinearity are inserted Value Types.
In the extended pattern on-scene care platform: the analysis of object equipment obtains each in the correction combination image A edge pixel point includes: that R channel value is deviateed each pixel R channel value mean value of surrounding up to the default pixel for deviateing threshold value It is determined as edge pixel point.
In the extended pattern on-scene care platform, further includes: FLASH stores equipment, sets respectively with the analysis of object It is standby to be connected with the divergence extract equipment, for storing the default deviation threshold value.
In the extended pattern on-scene care platform: the FLASH storage equipment is also used to store the central object number Amount occupies the corresponding relationship of the ratio of the region quantity and the divergence of Gaussian curve.
In addition, the network access mode of PSTN is easier flexibly, usually have following several:
(1) it is networked by common dial-up telephone line.As long as on the original telephone wire of communicating pair and meeting Modem, then by Modem It is connected with corresponding equipment for surfing the net.Most of equipments for surfing the net in 2013 are provided with several strings such as PC or router Row port, using serial line interfaces specifications such as RS-232 between serial port and Modem.The expense of this connection type is both economical, Paying price is identical as the charge of plain old telephone, is applicable to the less frequent occasion of communication.
(2) pass through leased telephone Access via private lines.Compared with common dial-up telephone line mode, leased telephone special line can be provided Higher traffic rate and data transmission quality, but corresponding expense is also high compared with former mode.Use the access way of special line But the process of dial-up connection is omitted without too big difference with the access way of common dial line is used.In general, when determining When using private-line mode, user must file an application to the telecommunication bureau in location, by telecommunication bureau be responsible for set up and it is open-minded.
(3) through commonly dialled or rented special telephone line mode by PSTN transfer into common data switching network (X.25 or Frame-Relay etc.) network access mode.Realize that with connection far be a kind of preferable remote mode using which, because Common data switching network provides reliable connection-oriented virtual circuit services for user, and reliability and transmission rate all compare PSTN It is much better than.
Using extended pattern on-scene care platform of the invention, precision is controlled for air compression type atomizer in the prior art Not high technical problem passes through air compression type atomizer, including air compression motor, gas pipeline, medicine body container and breathing Cover, one end of the gas pipeline are connect with the medicine body container, and the other end is connect with the respirator;IP Camera, packet Network communication interface and imaging sensor are included, the rear of respirator is arranged in the IP Camera, for wearing respirator Human body carry out camera operation, to obtain corresponding treatment live image;The air compression motor is set with described image recovery Standby connection, for determining itself velocity of rotation based on the recognition result to face's age in the changing image;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 (10)

1. a kind of extended pattern on-scene care platform, the platform include:
Air compression type atomizer, including air compression motor, gas pipeline, medicine body container and respirator, the gas pipeline One end connect with the medicine body container, the other end is connect with the respirator.
2. extended pattern on-scene care platform as described in claim 1, which is characterized in that the platform further include:
The rear of respirator is arranged in IP Camera, including network communication interface and imaging sensor, the IP Camera, For carrying out camera operation to the human body for wearing respirator, to obtain corresponding treatment live image.
3. extended pattern on-scene care platform as claimed in claim 2, which is characterized in that the platform further include:
Signal analysis equipment is connect with the IP Camera, for receiving the treatment live image, to treatment live image Characteristic quantity after extraction is input to by input layer, output layer and multiple hidden by the extraction for carrying out the relevant characteristic quantity of interpolation processing Containing layer composition Data Analysis Model in, for successively to input layer input characteristic quantity carry out data analysis, output layer with most The latter hidden layer connection, for by the output of the result of the carries out data analysis of the last one hidden layer, wherein output layer it is defeated Output type is interpolation processing type;
Adaptive-interpolation equipment is connect with the signal analysis equipment, is controlled for receiving the interpolation processing type, and to described It treats live image and executes the interpolation operation based on the interpolation processing type, to obtain and export image after interpolation;
Recursive filtering equipment is connect with the adaptive-interpolation equipment, for receiving image after the interpolation, after the interpolation Image executes the recursive filtering processing based on noise amplitude, to obtain corresponding live filtering image, and exports the scene filter Wave image, wherein executing the recursive filtering processing based on noise amplitude to image after the interpolation includes: image after the interpolation Noise amplitude it is bigger, to after the interpolation image execute recursive filtering number of processing it is more;
Clarity extract equipment is connect with the recursive filtering equipment, for receiving the live filtering image, to the scene Filtering image executes clarity extraction operation, to obtain corresponding live clarity, and exports the live clarity, described right The scene filtering image executes clarity extraction operation, includes: based on the scene filter to obtain corresponding live clarity Each pixel value of each pixel of wave image executes clarity extraction operation to the live filtering image, to obtain correspondence Live clarity;
Data judge equipment, connect with the clarity extract equipment, for receiving the live clarity, and at the scene When clarity is more than default clarity threshold, sending stopping processing order, and be less than and preset clearly in the live clarity When clear degree threshold value, sending continues with order;
Interpolating apparatus three times judges that equipment and the clarity extract equipment are connect, for receiving with the data respectively It is described when continuing with order, image interpolation arithmetic is executed to the live filtering image using interpolation method three times, to obtain three Secondary interpolated image, and the interpolated image three times is exported, it is also used to when receiving the stopping processing order, it directly will be described Live filtering image exports the interpolated image three times as interpolated image three times;
Gamma correcting equipment is connect with the interpolating apparatus three times, for receiving interpolated image three times, determines the interpolation three times Background complexity in image determines the image that average segmentation is carried out to the interpolated image three times based on the background complexity Number of tiles, the background complexity is higher, and the images fragment quantity for carrying out average segmentation to the interpolated image three times is more, Gamma correction processing operation based on images fragment contrast is executed respectively to obtain each gamma correction to each images fragment Fragment, images fragment contrast is smaller, and the gamma correction processing operation intensity executed to images fragment is bigger, by each gamma school Positive fragment is combined to obtain and correct combination image;
Analysis of object equipment is connect with the gamma correcting equipment, for receiving the correction combination image, obtains the correction Each edge pixel point in image is combined, one in the correction combination image is determined based on each edge pixel point Or one or more image-regions where multiple objects difference;
Density analysis equipment is connect, for receiving the quantity of one or more of image-regions with the analysis of object equipment The correction is set in correction combination image using the resolution as region quantity, and based on the correction combination image The center image block of image is combined, determines the quantity of image-region in the center image block using as central object quantity Output;
Divergence extract equipment is connect with the density analysis equipment, for receiving the central object quantity and the region Quantity calculates the ratio that the central object quantity occupies the region quantity, and is based on the corresponding Gauss of the ratio-dependent The divergence of curve;
Filter selects equipment, connect with the divergence extract equipment, for each of frequency domain frequency domain to be processed point Selection filter factor it is as follows: determine the frequency domain point to be processed to frequency domain origin distance, obtain the square value of the distance with As the first square value, the square value of the divergence for the Gaussian curve that the divergence extract equipment determines is determined, by the height The square value of the divergence of this curve multiplied by 2 using as the second square value, by first square value divided by described second square Result after value carries out taking negative operation to obtain exponential depth, to the exponential depth execute using natural logrithm as the index budget at bottom with Obtain the filter factor of the frequency domain point to be processed;
Image translation device is connect, for the school respectively with the analysis of object equipment and filter selection equipment Positive combination image is executed from Fourier transformation, to obtain corresponding frequency domain signal, to each of described frequency domain signal The filter factor for the frequency domain point that the frequency domain value of frequency domain point is determined multiplied by filter selection equipment is to obtain the frequency domain The filter in frequency domain value of point;
Image restorer is connect with described image conversion equipment, to obtain each frequency domain point in the frequency domain signal Each filter in frequency domain value, and frequency domain is carried out based on each filter in frequency domain value of each frequency domain point in the frequency domain signal and is arrived The transformation of time-domain combines the corresponding changing image of image with the correction to obtain;
Wherein, the air compression motor is connect with described image restorer, for based on to face in the changing image The recognition result at age determines the velocity of rotation of itself;
Wherein, in the air compression motor, the face's age recognized is smaller, and the velocity of rotation of itself determined is slower.
4. extended pattern on-scene care platform as claimed in claim 3, it is characterised in that:
Resolution of the density analysis equipment based on the correction combination image is in correction combination image described in setting The center image block of correction combination image includes: that the resolution of the correction combination image is lower, the correction combination of setting The center image block of image is smaller.
5. extended pattern on-scene care platform as claimed in claim 4, which is characterized in that the platform further include:
PSTN communication interface is connect with the interpolating apparatus three times, for receiving the interpolated image three times, and it is logical by PSTN Believe that link sends the interpolated image three times.
6. extended pattern on-scene care platform as claimed in claim 5, it is characterised in that:
The recursive filtering equipment, the clarity extract equipment, the data judge that equipment and the interpolating apparatus three times are total With same supply input equipment.
7. extended pattern on-scene care platform as claimed in claim 6, it is characterised in that:
The interpolation processing type is arest neighbors interpolation type or bilinear interpolation type.
8. extended pattern on-scene care platform as claimed in claim 7, it is characterised in that:
Each edge pixel point that the analysis of object equipment obtains in the correction combination image includes: to deviate R channel value The each pixel R channel value mean value of surrounding is determined as edge pixel point up to the default pixel for deviateing threshold value.
9. extended pattern on-scene care platform as claimed in claim 8, which is characterized in that the platform further include:
FLASH stores equipment, connect respectively with the analysis of object equipment and the divergence extract equipment, described for storing It is default to deviate threshold value.
10. extended pattern on-scene care platform as claimed in claim 9, it is characterised in that:
The FLASH storage equipment is also used to store the ratio and Gauss song that the central object quantity occupies the region quantity The corresponding relationship of the divergence of line.
CN201910062487.9A 2019-01-23 2019-01-23 Extended pattern on-scene care platform Pending CN109806091A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910062487.9A CN109806091A (en) 2019-01-23 2019-01-23 Extended pattern on-scene care platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910062487.9A CN109806091A (en) 2019-01-23 2019-01-23 Extended pattern on-scene care platform

Publications (1)

Publication Number Publication Date
CN109806091A true CN109806091A (en) 2019-05-28

Family

ID=66604689

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910062487.9A Pending CN109806091A (en) 2019-01-23 2019-01-23 Extended pattern on-scene care platform

Country Status (1)

Country Link
CN (1) CN109806091A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110691216A (en) * 2019-06-22 2020-01-14 王刚 Running state on-site monitoring mechanism

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN87211618U (en) * 1987-08-12 1988-07-27 天津第二医学院附属医院 Head cover type steam atomizing medical treating instrument
CN205460252U (en) * 2016-01-27 2016-08-17 熊汉忠 It spouts medicine device to breathe internal medicine
DE102014220902B4 (en) * 2014-10-15 2018-02-08 Olympus Winter & Ibe Gmbh Connecting device and system for connecting medical devices
CN107800499A (en) * 2017-11-09 2018-03-13 周小凤 A kind of radio programs broadcast control method
CN107872624A (en) * 2017-11-22 2018-04-03 秦广民 A kind of mobile phone control method based on gesture recognition
CN107968933A (en) * 2017-11-06 2018-04-27 戴惠英 A kind of wireless routing monitoring method
CN108097495A (en) * 2017-09-20 2018-06-01 王晓东 Extended pattern is atomized regulating system
CN108156606A (en) * 2017-11-13 2018-06-12 李金平 Instant number of cells distribution platform
CN108665502A (en) * 2018-03-22 2018-10-16 韩明 Feasibility cloud computing analysis method
CN109117754A (en) * 2018-07-25 2019-01-01 徐敬媛 Real time fingerprint identifying platform

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN87211618U (en) * 1987-08-12 1988-07-27 天津第二医学院附属医院 Head cover type steam atomizing medical treating instrument
DE102014220902B4 (en) * 2014-10-15 2018-02-08 Olympus Winter & Ibe Gmbh Connecting device and system for connecting medical devices
CN205460252U (en) * 2016-01-27 2016-08-17 熊汉忠 It spouts medicine device to breathe internal medicine
CN108097495A (en) * 2017-09-20 2018-06-01 王晓东 Extended pattern is atomized regulating system
CN107968933A (en) * 2017-11-06 2018-04-27 戴惠英 A kind of wireless routing monitoring method
CN107800499A (en) * 2017-11-09 2018-03-13 周小凤 A kind of radio programs broadcast control method
CN108156606A (en) * 2017-11-13 2018-06-12 李金平 Instant number of cells distribution platform
CN107872624A (en) * 2017-11-22 2018-04-03 秦广民 A kind of mobile phone control method based on gesture recognition
CN108665502A (en) * 2018-03-22 2018-10-16 韩明 Feasibility cloud computing analysis method
CN109117754A (en) * 2018-07-25 2019-01-01 徐敬媛 Real time fingerprint identifying platform

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110691216A (en) * 2019-06-22 2020-01-14 王刚 Running state on-site monitoring mechanism
CN110691216B (en) * 2019-06-22 2021-11-05 蓝鲸智云智能科技南京有限公司 Running state on-site monitoring mechanism

Similar Documents

Publication Publication Date Title
Stanescu et al. Failure of body plethysmography in bronchial asthma
US10342939B2 (en) Detection of ventilation sufficiency
CN104887258B (en) Diagnosis support system
Havlucu et al. Pulmonary hypertension in patients with chronic renal failure
CN106934018A (en) A kind of doctor's commending system based on collaborative filtering
CN109806091A (en) Extended pattern on-scene care platform
CN107106801A (en) The system and method that patient's lung compliance detection ventilator of the upper estimation of both suction and exhalation stage using breathing disconnects with patient
CN105025786B (en) Simplified method and apparatus is carried out to from the obtained information of electrical impedance tomography
CN110532424A (en) A kind of lungs sound tagsort system and method based on deep learning and cloud platform
KR20220003583A (en) inhaler system
KR102243012B1 (en) Estimation method of blood vessel elasticity and arrhythmia using skin image
WO2016165498A1 (en) Registration number-based self-service payment terminal
CN207126099U (en) A kind of automatic mahjong-playing machine
Avanzolini et al. Influence of flow pattern on the parameter estimates of a simple breathing mechanics model
CN108354818A (en) Nasal cavity dirt real-time detector
CN108325037A (en) Lung ventilator method of quality control and device
Robinson et al. Increased airway reactivity in human RSV bronchiolitis in the guinea pig is not due to increased wall thickness
CN214588051U (en) Remote diagnosis system for fundus diseases and user terminal
CN107898476A (en) A kind of method and apparatus that low velocity flow Doppler signal is detected by wall filter
CN106540363A (en) The method and respirator of identification of breathing conversion
CN108652658A (en) Burst voice recognition method and system
CN112951383A (en) Intelligent medical image display device
CN109754561A (en) Medical Devices fire monitoring mechanism
CN112614103A (en) Bronchoscope image feature comparison marking system and method based on deep learning
CN109549637A (en) A kind of intraoperative blood loss statistic device and method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190528

RJ01 Rejection of invention patent application after publication