CN109481199A - Intelligent health care management mechanism - Google Patents
Intelligent health care management mechanism Download PDFInfo
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- CN109481199A CN109481199A CN201811618189.5A CN201811618189A CN109481199A CN 109481199 A CN109481199 A CN 109481199A CN 201811618189 A CN201811618189 A CN 201811618189A CN 109481199 A CN109481199 A CN 109481199A
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- 230000007246 mechanism Effects 0.000 title claims abstract description 40
- 238000012937 correction Methods 0.000 claims description 61
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 22
- 239000001301 oxygen Substances 0.000 claims description 22
- 229910052760 oxygen Inorganic materials 0.000 claims description 22
- 238000006213 oxygenation reaction Methods 0.000 claims description 17
- 238000004458 analytical method Methods 0.000 claims description 16
- 238000012544 monitoring process Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 14
- 239000011159 matrix material Substances 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 230000035772 mutation Effects 0.000 claims description 5
- 238000005312 nonlinear dynamic Methods 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 claims description 2
- 230000002708 enhancing effect Effects 0.000 claims description 2
- 238000003706 image smoothing Methods 0.000 claims description 2
- 238000003384 imaging method Methods 0.000 claims description 2
- 238000003745 diagnosis Methods 0.000 abstract description 12
- 201000010099 disease Diseases 0.000 abstract description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 6
- 238000003759 clinical diagnosis Methods 0.000 abstract description 4
- 208000009362 Pneumococcal Pneumonia Diseases 0.000 abstract description 2
- 206010035728 Pneumonia pneumococcal Diseases 0.000 abstract description 2
- 230000001575 pathological effect Effects 0.000 abstract description 2
- 208000022218 streptococcal pneumonia Diseases 0.000 abstract description 2
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000001914 filtration Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 208000011580 syndromic disease Diseases 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G10/00—Treatment rooms or enclosures for medical purposes
- A61G10/02—Treatment rooms or enclosures for medical purposes with artificial climate; with means to maintain a desired pressure, e.g. for germ-free rooms
- A61G10/023—Rooms for the treatment of patients at over- or under-pressure or at a variable pressure
- A61G10/026—Rooms for the treatment of patients at over- or under-pressure or at a variable pressure for hyperbaric oxygen therapy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Human Computer Interaction (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pulmonology (AREA)
- Multimedia (AREA)
- Emergency Medicine (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Complete clinical diagnosis should include the content of three aspect of the cause of disease, pathomorphism and pathologic, physiologic.The meaning diagnosed with regard to its content can also be divided into descriptive and entity two major classes.Using phenomenon as the descriptive diagnosis of the category of diagnosis content, dermatology is often used this diagnosis.All category entity diagnosis for disclosing Disease Essence, such as Pneumococcal pneumonia.Most of clinical diagnosis all belongs to entity diagnosis.The present invention relates to a kind of intelligent health care management mechanisms.By means of the invention it is possible to improve health care management level, the intelligent grade of medical care equipment is improved.
Description
Technical field
The present invention relates to medical care equipment field more particularly to a kind of intelligent health care management mechanisms.
Background technique
Diagnosis content can be entity disease or certain physiological status, be also possible to syndrome.Sometimes certain main disease
Shape, sign or inspection result.
Complete clinical diagnosis should include the content of three aspect of the cause of disease, pathomorphism and pathologic, physiologic.Diagnosis is with regard to its content
Meaning can also be divided into descriptive and entity two major classes.Using phenomenon as the descriptive diagnosis of the category of diagnosis content, dermatology often makes
With this diagnosis.All category entity diagnosis for disclosing Disease Essence, such as Pneumococcal pneumonia.Most of clinical diagnosis all belongs to
Entity diagnosis.
Summary of the invention
According to an aspect of the present invention, a kind of intelligent health care management mechanism is provided, the mechanism includes:
More people's air pressurization oxygen cabin structures, including multiple oxygenation seats and a semicircle cabin shell, the multiple oxygenation seat
Position is disposed side by side in the semicircle cabin shell；
The top of the semicircle cabin shell is arranged in image capture device, for the inside to the semicircle cabin shell into
Row image data acquiring, to obtain monitoring image in cabin.
More specifically, in the intelligent health care management mechanism, further includes:
Geometrical correction device is connect with described image acquisition equipment, for receiving monitoring image in the cabin, based on described
Monitoring image in the cabin is averagely divided into relevant block by the distance that monitoring image resolution distance presets resolution threshold in cabin
Each piecemeal of size, to each piecemeal, the pixel value variance based on the piecemeal selects the geometry school of corresponding varying strength
Positive processing is spliced each correction piecemeal of acquisition to obtain geometric correction image with obtaining correction piecemeal.
More specifically, in the intelligent health care management mechanism, further includes:
Noise analysis equipment is connect with the geometrical correction device, for receiving the geometric correction image, described in acquisition
The pixel value and coordinate position of each of geometric correction image pixel, based on each in the geometric correction image
The pixel value and coordinate position of pixel determine the sharp grade of the geometric correction image；In the noise analysis equipment
In, pixel value and coordinate position based on each pixel in the geometric correction image determine the geometric correction image
Sharp grade comprise determining that pixel value in the geometric correction image is more than the picture of the mean value of each pixel value of field pixel
Vegetarian refreshments multiple mutation pixels of full curve as mutation pixel, will be formed as a sharp curve, described in statistics
Sharp curve quantity in geometric correction image.
More specifically, in the intelligent health care management mechanism, further includes:
Parameter extraction equipment is connect with the noise analysis equipment, is turned for carrying out time-frequency to the geometric correction image
It changes to obtain corresponding frequency domain matrix, receives the sharp grade, and corresponding frequency threshold is determined based on the sharp grade；
Coordinate processing equipment is connect with the parameter extraction equipment and the noise analysis equipment respectively, for for institute
Each of frequency domain matrix point is stated, calculates the quadratic sum of its abscissa and ordinate in a frequency domain, and in the quadratic sum
Evolution value be less than or equal to the frequency threshold when, retain the original frequency domain value of the point, and the evolution value in the quadratic sum
When greater than the frequency threshold, the frequency domain value of the point is set to zero.
The present invention at least has the important inventive point of following two:
(1) light dark ratio parsing operation is carried out to edge enhanced images, wherein particular, it is important that being based on edge enhanced images
Luminance pixel values carry out light dark ratio parsing to reduce data operation quantity；
(2) in the case where light dark ratio backlog demand, non-linear dynamic range tune is executed using nonlinear adjustment equipment
Whole processing is to obtain light dark ratio nonlinear adjustment image up to standard；
(3) a set of targetedly sharp testing mechanism is devised for image, and on the basis of sharp detection, to image
Frequency domain handles carry out mode customization, calculates so as to customize corresponding image filtering based on sharp noise distribution situation in image
Method, so as to improve original picture frequency filtering mechanism.
Specific embodiment
The embodiment of intelligent health care management mechanism of the invention will be described in detail below.
Hyperbaric oxygen chamber has the characteristics that following: (1) usually by cabin, for exhaust (oxygen) system, air-conditioning system and control
The composition such as system；(2) pressure medium is air or medical oxygen, and air pressurized maximum working pressure is not more than 0.3MPa, oxygen
The maximum working pressure that pressurizes is not more than 0.2MPa；(3) air pressurized is divided into single oxygen cabin and more according to treating number difference in cabin
People's oxygen cabin；(4) oxygen pressure cabin is 1 people into cabin number, is generally divided into adult hyperbaric oxygen chamber and infant's (containing newborn) is medical
Oxygen cabin.
In order to overcome the shortcomings of in more people's air pressurization oxygen cabin structure uses, the present invention has built a kind of intelligent medical care pipe
Manage mechanism.
The intelligent health care management mechanism shown according to an embodiment of the present invention includes:
More people's air pressurization oxygen cabin structures, including multiple oxygenation seats and a semicircle cabin shell, the multiple oxygenation seat
Position is disposed side by side in the semicircle cabin shell；
The top of the semicircle cabin shell is arranged in image capture device, for the inside to the semicircle cabin shell into
Row image data acquiring, to obtain monitoring image in cabin.
Then, continue that the specific structure of intelligent health care management mechanism of the invention is further detailed.
In the intelligent health care management mechanism, further includes: geometrical correction device connects with described image acquisition equipment
It connects, for receiving monitoring image in the cabin, the remote of resolution threshold is preset based on monitoring image resolution distance in the cabin
Monitoring image in the cabin is closely averagely divided into each piecemeal of relevant block size, to each piecemeal, based on the piecemeal
Pixel value variance selects the geometric correction of corresponding varying strength to handle to obtain correction piecemeal, by each correction piecemeal of acquisition
Splicing is to obtain geometric correction image.
In the intelligent health care management mechanism, further includes: noise analysis equipment connects with the geometrical correction device
Connect, for receiving the geometric correction image, obtain each of the geometric correction image pixel value of pixel and
Coordinate position, pixel value and coordinate position based on each pixel in the geometric correction image determine the geometry school
The sharp grade of positive image；In the noise analysis equipment, the picture based on each pixel in the geometric correction image
Plain value and coordinate position determine that the sharp grade of the geometric correction image comprises determining that pixel in the geometric correction image
Value is more than the pixel of the mean value of each pixel value of field pixel will form the multiple of full curve as mutation pixel
Pixel is mutated as a sharp curve, counts the sharp curve quantity in the geometric correction image.
In the intelligent health care management mechanism, further includes: parameter extraction equipment connects with the noise analysis equipment
It connects, for, to obtain corresponding frequency domain matrix, receiving the sharp grade to geometric correction image progress time-frequency convert, and
Corresponding frequency threshold is determined based on the sharp grade；
Coordinate processing equipment is connect with the parameter extraction equipment and the noise analysis equipment respectively, for for institute
Each of frequency domain matrix point is stated, calculates the quadratic sum of its abscissa and ordinate in a frequency domain, and in the quadratic sum
Evolution value be less than or equal to the frequency threshold when, retain the original frequency domain value of the point, and the evolution value in the quadratic sum
When greater than the frequency threshold, the frequency domain value of the point is set to zero；
Conversion equipment when frequency is connect with the coordinate processing equipment, is handled for receiving by the coordinate processing equipment
The frequency domain value of each of described frequency domain matrix afterwards point, and based on each point treated frequency domain value composition treated number
According to matrix, conversion converts image when frequency corresponding with the geometric correction image to obtain when executing frequency to the data matrix；
Signal recognition equipment connecting with conversion equipment when the frequency, image converted when for receiving the frequency, to the frequency
When conversion image execute edge enhancing processing, to obtain corresponding edge enhanced images, be also used to receive to the edge enhance
Image executes light dark ratio parsing operation, to obtain the light dark ratio of the edge enhanced images to export as reference light dark ratio；
In the signal recognition equipment, light dark ratio parsing operation is executed to the edge enhanced images, described in obtaining
The light dark ratio of edge enhanced images is to include: to obtain each pixel in the edge enhanced images as the output of reference light dark ratio
Each brightness value, by the maximum brightness value in each brightness value divided by minimum luminance value with determination it is described refer to light and shade
Than, and export described with reference to light dark ratio；
Data analysis equipment is connect with the signal recognition equipment, described with reference to light dark ratio for receiving, and by the ginseng
It examines light dark ratio to be compared with light dark ratio threshold value, to issue when the reference light dark ratio is more than or equal to the light dark ratio threshold value
First compares instruction, when the reference light dark ratio is less than the light dark ratio threshold value, issues second and compares instruction；
Nonlinear adjustment equipment, compares equipment with the parameter respectively and the signal recognition equipment is connect, for connecing
When receiving the second comparison instruction, non-linear dynamic range adjustment processing is executed to the edge enhanced images, it is non-to obtain
Serial regulation image is also used to when receiving first control instruction, using the edge enhanced images as non-linear tune
Whole image output；
Quantity identifies equipment, connect with the nonlinear adjustment equipment, for receiving the nonlinear adjustment image, is based on
Human body imaging features identify the quantity of the human body target in the nonlinear adjustment image to export as live number；
Concentration adjusts equipment, connect with quantity identification equipment, for being determined based on the live number received to institute
State the real-time oxygenation concentration of more people's air pressurization oxygen cabin structures；
Wherein, it in concentration adjustment equipment, is determined based on the live number received to more people's air pressurizeds
The real-time oxygenation concentration of oxygen cabin structure includes: that the live number that receives is more, and the real-time oxygenation concentration determined is denseer.
In the intelligent health care management mechanism: ram cell is also built-in in the parameter comparison equipment, for depositing
Store up the light dark ratio threshold value.
In the intelligent health care management mechanism, further includes: optical fiber transceiving equipment connects with the nonlinear adjustment equipment
It connects, promotes image for receiving the range, and send the nonlinear adjustment image by optic communication links.
In the intelligent health care management mechanism: in the parameter extraction equipment, determining corresponding frequency threshold
It is proportional with the sharp grade.
In the intelligent health care management mechanism: the noise analysis equipment be also used to be in the sharp curve quantity
When zero, image smoothing signal is issued.
In the intelligent health care management mechanism: in the geometrical correction device, monitoring image is differentiated in the cabin
Rate is closer apart from the default resolution threshold, and the relevant block that monitoring image in the cabin is averagely divided into is bigger.
In the intelligent health care management mechanism: in the geometrical correction device, to each piecemeal, the piecemeal
Pixel value variance is bigger, and the intensity of the geometric correction processing of selection is smaller；Wherein, in the noise analysis equipment, it is based on institute
The pixel value and coordinate position for stating each pixel in geometric correction image determine the sharp etc. of the geometric correction image
Grade further include: the sharp grade of the geometric correction image is determined based on the sharp curve quantity in the geometric correction image,
Sharp curve quantity in the geometric correction image is directly proportional to the sharp grade of the geometric correction image.
In addition, the geometrical correction device is realized by GAL chip.General array logic chip (Generic
Array Logicwww.husoon.com) device be that LATTICE company invents at first it is erasable remove, may be programmed, it is settable plus
The PLD of dense bit.Representative GAL chip has GAL 16V8, GAL20, both GAL can almost emulate all types of
PAL device.In practical application, GAL device has 100% compatibility to PAL device simulation, so GAL almost can full generation
It for PAL device, and may replace most of SSI, MSI digital integrated electronic circuit, thus be widely applied.
The maximum differential of GAL and PAL is that the export structure of GAL can be defined by the user, and is a kind of programmable output knot
Structure.Two kinds of base type GAL 16V8 (20 pin) GAL20V8 (24 pin) of GAL can replace ten kinds of PAL devices of tree, thus claim
To use programmable circuit bitterly.And the output of PAL is defined by producer, is just secured after chip is selected, user can not change.
Using intelligent health care management mechanism of the invention, for more people's air pressurization oxygen cabins can not basis in the prior art
The quantity of user of service adjusts the technical issues of oxygenation concentration in time, by more people's air pressurization oxygen cabin structures, including it is multiple plus
Oxygen seat and a semicircle cabin shell, the multiple oxygenation seat are disposed side by side in the semicircle cabin shell；Concentration adjustment is set
It is standby, it is connect with quantity identification equipment, for being determined based on the live number received to more people's air pressurization oxygen cabins
The real-time oxygenation concentration of structure；In concentration adjustment equipment, determined based on the live number received empty to more people
The real-time oxygenation concentration of gas pressurization oxygen cabin structure includes: that the live number that receives is more, and the real-time oxygenation concentration determined is denseer；
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 intelligence health care management mechanism, the mechanism include:
More people's air pressurization oxygen cabin structures, including multiple oxygenation seats and a semicircle cabin shell, the multiple oxygenation seat is simultaneously
Row's setting is in the semicircle cabin shell；
The top of the semicircle cabin shell is arranged in image capture device, carries out figure for the inside to the semicircle cabin shell
As data acquisition, to obtain monitoring image in cabin.
2. intelligence health care management mechanism as described in claim 1, which is characterized in that the mechanism further include:
Geometrical correction device is connect with described image acquisition equipment, for receiving monitoring image in the cabin, based in the cabin
Monitoring image in the cabin is averagely divided into relevant block size by the distance that monitoring image resolution distance presets resolution threshold
Each piecemeal, to each piecemeal, the pixel value variance based on the piecemeal is selected at the geometric correction of corresponding varying strength
Reason is spliced each correction piecemeal of acquisition to obtain geometric correction image with obtaining correction piecemeal.
3. intelligence health care management mechanism as claimed in claim 2, which is characterized in that the mechanism further include:
Noise analysis equipment is connect with the geometrical correction device, for receiving the geometric correction image, obtains the geometry
The pixel value and coordinate position for correcting each of image pixel, based on each pixel in the geometric correction image
The pixel value and coordinate position of point determine the sharp grade of the geometric correction image；In the noise analysis equipment, base
The pixel value and coordinate position of each pixel in the geometric correction image determine the point of the geometric correction image
Sharp grade comprises determining that pixel value is more than the pixel of the mean value of each pixel value of field pixel in the geometric correction image
To count the geometry as mutation pixel using the multiple mutation pixels for forming full curve as a sharp curve
Correct the sharp curve quantity in image.
4. intelligence health care management mechanism as claimed in claim 3, which is characterized in that the mechanism further include:
Parameter extraction equipment is connect with the noise analysis equipment, for the geometric correction image carry out time-frequency convert with
Corresponding frequency domain matrix is obtained, receives the sharp grade, and corresponding frequency threshold is determined based on the sharp grade；
Coordinate processing equipment is connect with the parameter extraction equipment and the noise analysis equipment respectively, for for the frequency
Each of domain matrix point calculates the quadratic sum of its abscissa and ordinate in a frequency domain, and opening in the quadratic sum
When side's value is less than or equal to the frequency threshold, retain the original frequency domain value of the point, and be greater than in the evolution value of the quadratic sum
When the frequency threshold, the frequency domain value of the point is set to zero；
Conversion equipment when frequency is connect with the coordinate processing equipment, and for receiving, by the coordinate processing equipment, treated
The frequency domain value of each of described frequency domain matrix point, and based on each point treated frequency domain value composition treated data square
Battle array, conversion converts image when frequency corresponding with the geometric correction image to obtain when executing frequency to the data matrix；
Signal recognition equipment connecting with conversion equipment when the frequency, image converted when for receiving the frequency, turns when to the frequency
It changes image and executes edge enhancing processing, to obtain corresponding edge enhanced images, be also used to receive to the edge enhanced images
Light dark ratio parsing operation is executed, to obtain the light dark ratio of the edge enhanced images to export as reference light dark ratio；
In the signal recognition equipment, light dark ratio parsing operation is executed to the edge enhanced images, to obtain the edge
Enhance the light dark ratio of image to include: each of each pixel in the acquisition edge enhanced images as the output of reference light dark ratio
A brightness value, the maximum brightness value in each brightness value is described with reference to light dark ratio with determination divided by minimum luminance value, and
It exports described with reference to light dark ratio；
Data analysis equipment is connect with the signal recognition equipment, described with reference to light dark ratio for receiving, and by described with reference to bright
Dark ratio is compared with light dark ratio threshold value, to issue first when the reference light dark ratio is more than or equal to the light dark ratio threshold value
Instruction is compared, when the reference light dark ratio is less than the light dark ratio threshold value, second is issued and compares instruction；
Nonlinear adjustment equipment, compares equipment with the parameter respectively and the signal recognition equipment is connect, for receiving
When the second comparison instruction, non-linear dynamic range adjustment processing is executed to the edge enhanced images, it is non-linear to obtain
Image is adjusted, is also used to when receiving first control instruction, using the edge enhanced images as nonlinear adjustment figure
As output；
Quantity identifies equipment, connect with the nonlinear adjustment equipment, for receiving the nonlinear adjustment image, is based on human body
Imaging features identify the quantity of the human body target in the nonlinear adjustment image to export as live number；
Concentration adjusts equipment, connect with quantity identification equipment, for being determined based on the live number received to described more
The real-time oxygenation concentration of people's air pressurization oxygen cabin structure；
Wherein, it in concentration adjustment equipment, is determined based on the live number received to more people's air pressurization oxygen cabins
The real-time oxygenation concentration of structure includes: that the live number that receives is more, and the real-time oxygenation concentration determined is denseer.
5. intelligence health care management mechanism as claimed in claim 4, it is characterised in that:
It is also built-in with ram cell in the parameter comparison equipment, for storing the light dark ratio threshold value.
6. intelligence health care management mechanism as claimed in claim 5, which is characterized in that the mechanism further include:
Optical fiber transceiving equipment is connect with the nonlinear adjustment equipment, promotes image for receiving the range, and pass through optical fiber
Communication link sends the nonlinear adjustment image.
7. intelligence health care management mechanism as claimed in claim 6, it is characterised in that:
In the parameter extraction equipment, the corresponding frequency threshold and the sharp grade determined is proportional.
8. intelligence health care management mechanism as claimed in claim 7, it is characterised in that:
The noise analysis equipment is also used to when the sharp curve quantity is zero, issues image smoothing signal.
9. intelligence health care management mechanism as claimed in claim 8, it is characterised in that:
In the geometrical correction device, monitoring image resolution is closer apart from the default resolution threshold in the cabin, will
The relevant block that monitoring image is averagely divided into the cabin is bigger.
10. intelligence health care management mechanism as claimed in claim 9, it is characterised in that:
In the geometrical correction device, to each piecemeal, the pixel value variance of the piecemeal is bigger, at the geometric correction of selection
The intensity of reason is smaller；
Wherein, in the noise analysis equipment, pixel value based on each pixel in the geometric correction image and
Coordinate position determines the sharp grade of the geometric correction image further include: based on the sharp curve in the geometric correction image
Quantity determines the sharp grade of the geometric correction image, the sharp curve quantity in the geometric correction image and the geometry
The sharp grade for correcting image is directly proportional.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109806089A (en) * | 2019-03-28 | 2019-05-28 | 夏梅 | Treat parameter extraction system |
| CN110401813A (en) * | 2019-04-09 | 2019-11-01 | 郝建 | Dynamic information network transmission mechanism |
| CN111772990A (en) * | 2020-06-01 | 2020-10-16 | 王艳苓 | Negative pressure oxygenation control platform and method based on personnel identification |
| CN111839954A (en) * | 2020-07-20 | 2020-10-30 | 黄慧 | Oxygen supply mode customization system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104783993A (en) * | 2015-05-19 | 2015-07-22 | 中国人民解放军第三军医大学第二附属医院 | Hyperbaric oxygen chamber group with all-perspective video system |
| CN107846226A (en) * | 2017-11-06 | 2018-03-27 | 韩劝劝 | It is a kind of to make the method that old man listens to safely |
| CN107911875A (en) * | 2017-11-17 | 2018-04-13 | 包云清 | Intelligent base station based on personnel's detection |
| CN107979699A (en) * | 2017-11-24 | 2018-05-01 | 曹典 | Extended pattern multifunctional hand machine platform |
| CN108076506A (en) * | 2017-11-30 | 2018-05-25 | 秦广民 | A kind of method that power consumption is adaptively adjusted |
| CN108234741A (en) * | 2017-11-16 | 2018-06-29 | 吴英 | Intelligent mobile phone control method based on action recognition |
| CN108289002A (en) * | 2017-11-06 | 2018-07-17 | 韩劝劝 | Safety-type old man's specialized radios |
| CN108830238A (en) * | 2018-06-21 | 2018-11-16 | 刘月平 | The adaptively selected system of lipstick color |
| CN108961504A (en) * | 2018-07-02 | 2018-12-07 | 吴永慧 | Picture quality weighs platform |
| CN108985388A (en) * | 2018-08-22 | 2018-12-11 | 浙江大丰实业股份有限公司 | Buzzing alarm mechanism based on cutting load testing |
-
2018
- 2018-12-28 CN CN201811618189.5A patent/CN109481199A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104783993A (en) * | 2015-05-19 | 2015-07-22 | 中国人民解放军第三军医大学第二附属医院 | Hyperbaric oxygen chamber group with all-perspective video system |
| CN107846226A (en) * | 2017-11-06 | 2018-03-27 | 韩劝劝 | It is a kind of to make the method that old man listens to safely |
| CN108289002A (en) * | 2017-11-06 | 2018-07-17 | 韩劝劝 | Safety-type old man's specialized radios |
| CN108234741A (en) * | 2017-11-16 | 2018-06-29 | 吴英 | Intelligent mobile phone control method based on action recognition |
| CN107911875A (en) * | 2017-11-17 | 2018-04-13 | 包云清 | Intelligent base station based on personnel's detection |
| CN107979699A (en) * | 2017-11-24 | 2018-05-01 | 曹典 | Extended pattern multifunctional hand machine platform |
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