CN109044288A - Pulse condition detection method and device based on relative intensity pulse condition theory - Google Patents
Pulse condition detection method and device based on relative intensity pulse condition theory Download PDFInfo
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- CN109044288A CN109044288A CN201810809334.1A CN201810809334A CN109044288A CN 109044288 A CN109044288 A CN 109044288A CN 201810809334 A CN201810809334 A CN 201810809334A CN 109044288 A CN109044288 A CN 109044288A
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- 238000001514 detection method Methods 0.000 title claims abstract description 31
- 241001269238 Data Species 0.000 claims description 19
- 238000000034 method Methods 0.000 claims description 4
- 210000003734 kidney Anatomy 0.000 claims description 3
- 210000004185 liver Anatomy 0.000 claims description 3
- 210000004072 lung Anatomy 0.000 claims description 3
- 210000000952 spleen Anatomy 0.000 claims description 3
- 230000036541 health Effects 0.000 abstract description 16
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 230000000694 effects Effects 0.000 abstract description 6
- 230000003862 health status Effects 0.000 abstract description 4
- 238000003012 network analysis Methods 0.000 abstract description 4
- 210000001367 artery Anatomy 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 6
- 210000003462 vein Anatomy 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000008103 glucose Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4854—Diagnosis based on concepts of alternative medicine, e.g. homeopathy or non-orthodox
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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Abstract
The invention discloses a kind of pulse condition detection methods based on relative intensity pulse condition theory, comprising: is successively obtained by installing single sensor on detection means or multiple sensors and acquires multiple groups pulse profile data；According to relative intensity pulse condition theory analysis multiple groups pulse profile data, diagnostic result is obtained；Diagnostic result is presented to the user.The invention also discloses a kind of devices based on relative intensity pulse condition theory detection pulse profile data, which includes pulse image sensor, MCU master control, client.The present embodiment analyzes pulse condition by relative intensity pulse condition theory, can more accurately obtain the health status of body；Meanwhile theoretical system has the characteristics that simplify very much practical, energy network analysis data, and health monitoring and health management scheme are combined, it is convenient and intelligent to achieve the effect that.
Description
Technical field
The present invention relates to a kind of pulse profile data detection field, especially a kind of pulse condition based on relative intensity pulse condition theory
Detection method technical field.
Background technique
With the quickening of modern life rhythm, people increasingly focus on the detection to the health data of itself.Pulse condition
With very long history, it is a very important health data, can be with by the acquisition and analysis to pulse profile data
It is diagnosed to be the health status of people's body.Therefore, there is very far-reaching value with analysis to the acquisition of pulse condition.
The apparatus function of measurement health data, which focuses mostly on, at present monitors and communicates in motion change, in individual health monitoring side
Face function is simple.Existing personal health monitoring product is more used to detect pulse condition the detection of blood pressure, blood glucose body temperature etc.
Health detection product it is fewer.And the accurate medical apparatus of function such as electrocardiogram monitoring instrument needs ten two leads or 18 leads
Connection, volume is big, complicated for operation, and general population can not be convenient for carrying and proper use of.
Summary of the invention
The embodiment of the invention provides a kind of pulse condition detection method and device based on relative intensity pulse condition theory.This implementation
Example analyzes pulse condition by relative intensity pulse condition theory, can more accurately obtain the health status of body；Meanwhile it is theoretical
System has the characteristics that simplify very much practical, energy network analysis data, and health monitoring and health management scheme are combined, and reaches
To convenient and intelligent effect.
The embodiment of the invention provides a kind of pulse condition detection methods based on relative intensity pulse condition theory, comprising:
Successively is obtained by installing single sensor on detection means or multiple sensors and acquires multiple groups pulse condition number
According to；
According to pulse profile data described in relative intensity pulse condition theory analysis multiple groups, diagnostic result is obtained；
Diagnostic result is presented to the user.
Further, the pulse profile data includes left hand pulse profile data and right hand pulse profile data；The left hand pulse profile data
Including heart rapid pulse evidence, liver rapid pulse evidence, kidney rapid pulse evidence；The right hand pulse profile data includes lung rapid pulse evidence, spleen rapid pulse evidence, gate of vitality's number
According to.
Further, described that pulse profile data is grouped according to relative intensity pulse condition theory analysis, obtain diagnostic result, tool
Body are as follows:
It is compared according to the relative intensity of the comparison of the relative intensity of the left hand pulse profile data and the right hand pulse profile data, point
Not Huo get left hand pulse condition comparing result and right hand pulse condition comparing result, and according to the left hand pulse condition comparing result and the right hand
Pulse condition comparing result obtains diagnostic result.
Further, described to be compared according to the relative intensity of the left hand pulse profile data, obtain the comparison of left hand pulse profile data
As a result, specifically:
The value of strongest pulse profile data in three pulse profile datas of left hand is scaled 3, then by other two left hand pulse condition numbers
According to value zoomed in and out according to identical scaling, obtain the ratio of three pulse profile datas of left hand, three, the left hand
The ratio of pulse profile data is the left hand pulse condition comparison result；The ratio numberical range 0~3.
Further, according to the left hand pulse profile data comparing result, diagnostic result is obtained, specifically: the left hand arteries and veins
When the ratio numerical value of image data comparing result is consistent, the normal diagnostic result of pulse condition is obtained；The left hand pulse profile data comparison
As a result when ratio numerical value is inconsistent, other outer two pulse condition diagnostic results of problems of the most strong pulse condition of left hand are obtained.
Further, described to be compared according to the relative intensity of the right hand pulse profile data, it obtains right hand pulse profile data and compares
As a result, specifically:
The value of strongest pulse profile data in three pulse profile datas of the right hand is scaled 3, then by other two right hand pulse condition numbers
According to value zoomed in and out according to identical scaling, obtain the ratio of three pulse profile datas of the right hand, three, the right hand
The ratio of pulse profile data is the right hand pulse condition comparison result；The ratio numberical range 0~3.
Further, according to the right hand pulse profile data comparing result, diagnostic result is obtained, specifically: the right hand arteries and veins
When the ratio numerical value of image data comparing result is consistent, the normal diagnostic result of pulse condition is obtained；The right hand pulse profile data comparison
As a result when ratio numerical value is inconsistent, other outer two pulse condition diagnostic results of problems of the most strong pulse condition of the right hand are obtained.
It is further, described to be presented to the user diagnostic result, specifically: diagnostic result is presented to by use by client
Family.
Further, the embodiment of the invention also provides a kind of dresses based on relative intensity pulse condition theory detection pulse profile data
It sets, which can be performed method described in any item of the claim 1 to 8.
The implementation of the embodiments of the present invention has the following beneficial effects:
The present embodiment analyzes pulse condition by relative intensity pulse condition theory, can more accurately obtain the healthy shape of body
Condition；Meanwhile theoretical system has the characteristics that simplify very much practical, energy network analysis data.And health monitoring and health are managed
Reason scheme combines, and it is convenient and intelligent to achieve the effect that.
Detailed description of the invention
Fig. 1 is a kind of a kind of embodiment of the pulse condition detection method based on relative intensity pulse condition theory provided by the invention
Flow diagram.
Fig. 2 is a kind of a kind of embodiment of the pulse condition detection device based on relative intensity pulse condition theory provided by the invention
Structural schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, a kind of a kind of Fig. 1 reality of the pulse condition detection method based on relative intensity pulse condition theory provided by the invention
Apply the flow diagram of example.
As shown in Figure 1, a kind of pulse condition detection method based on relative intensity pulse condition theory, including step S1 to step S3,
Each step specifically:
Step S1: is successively obtained by installing single sensor on detection means or multiple sensors and acquire multiple groups
Pulse profile data.Pulse profile data includes left hand pulse profile data and right hand pulse profile data；Left hand pulse profile data includes heart rapid pulse evidence, liver arteries and veins
Data, kidney rapid pulse evidence；Right hand pulse profile data includes lung rapid pulse evidence, spleen rapid pulse evidence, gate of vitality's data.Three pulse conditions of left or right hand point
Different organ or position are not corresponded to, by the detection to pulse profile data, can obtain the corresponding organ of the pulse condition or position
Diagnostic result.
Step S2: according to relative intensity pulse condition theory analysis multiple groups pulse profile data, obtaining diagnostic result, specifically:
It is compared, is obtained respectively left according to the relative intensity of the comparison of the relative intensity of left hand pulse profile data and right hand pulse profile data
Hand pulse condition comparing result and right hand pulse condition comparing result, and according to left hand pulse condition comparing result and right hand pulse condition comparing result, it obtains
Obtain diagnostic result.
The value of strongest pulse profile data in three pulse profile datas of left hand is scaled 3, then by other two left hand pulse condition numbers
According to value zoomed in and out according to identical scaling, obtained numerical value is rounded up to obtain end value, is finally obtained
The ratio of three pulse profile datas of left hand, the ratio of three pulse profile datas of left hand are left hand pulse condition comparison result；Ratio numberical range 0
~3.
When the ratio numerical value of left hand pulse profile data comparing result is consistent, the normal diagnostic result of pulse condition is obtained；Left hand arteries and veins
When the ratio numerical value of image data comparing result is inconsistent, obtain the most strong pulse condition of left hand it is outer other two pulse conditions are of problems examines
Disconnected result.Using the value of most strong pulse profile data as benchmark, other two pulse profile datas are compared with the value of most strong pulse profile data, difference
It is bigger, weaker pulse condition there are the problem of it is bigger.Value difference value when the value compared with weak pulse image data is 0, with maximum pulse profile data
It is 3, is that there are serious problems for pulse condition compared with weak pulse image diagnosis conclusion；When the value compared with weak pulse image data is 1, with maximum pulse profile data
Value difference value be 2, compared with weak pulse image diagnosis conclusion be pulse condition there are general considerations；When the value compared with weak pulse image data is 2, with maximum
The value difference value of pulse profile data is 1, is that pulse condition exists compared with minor issue compared with weak pulse image diagnosis conclusion.For different degrees of existing for pulse condition
The problem of, doctor provides corresponding health management scheme, achievees the effect that for treatment.
The value of strongest pulse profile data in three pulse profile datas of the right hand is scaled 3, then by other two right hand pulse condition numbers
According to value zoomed in and out according to identical scaling, obtained numerical value is rounded up to obtain end value, is finally obtained
The ratio of three pulse profile datas of the right hand, the ratio of three pulse profile datas of the right hand are right hand pulse condition comparison result；Ratio numberical range 0
~3.
When the ratio numerical value of right hand pulse profile data comparing result is consistent, the normal diagnostic result of pulse condition is obtained；Right hand arteries and veins
When the ratio numerical value of image data comparing result is inconsistent, obtain the most strong pulse condition of the right hand it is outer other two pulse conditions are of problems examines
Disconnected result.Using the value of most strong pulse profile data as benchmark, other two pulse profile datas are compared with the value of most strong pulse profile data, difference
It is bigger, weaker pulse condition there are the problem of it is bigger.Value difference value when the value compared with weak pulse image data is 0, with maximum pulse profile data
It is 3, is that there are serious problems for pulse condition compared with weak pulse image diagnosis conclusion；When the value compared with weak pulse image data is 1, with maximum pulse profile data
Value difference value be 2, compared with weak pulse image diagnosis conclusion be pulse condition there are general considerations；When the value compared with weak pulse image data is 2, with maximum
The value difference value of pulse profile data is 1, is that pulse condition exists compared with minor issue compared with weak pulse image diagnosis conclusion.For different degrees of existing for pulse condition
The problem of, doctor provides corresponding health management scheme, achievees the effect that for treatment.
Step S3: diagnostic result is presented to the user, specifically: diagnostic result is presented to the user by client.With
It family can the more intuitive physical condition information for understanding itself by display screen.
Referring to fig. 2, Fig. 2 is a kind of pulse condition detection device based on relative intensity pulse condition theory that the present embodiment two provides
A kind of structural schematic diagram, the device can be performed claim 1 to any one of method.The device include pulse image sensor 1,
MCU master control 2, client 3.Pulse image sensor 1 is used for through opposite pulse condition theory for acquiring pulse profile data, MCU master control 2 to arteries and veins
As being analyzed and processed, for client 3 for diagnostic result to be presented to the user, client 3 can be small routine or APP, can also
To be PC.
The embodiment of the present invention analyzes pulse condition by relative intensity pulse condition theory, using the value of most strong pulse profile data as
Benchmark makees difference comparsion by the value of other two pulse profile datas and the value of most strong pulse profile data respectively, according to different differences,
It is diagnosed to be problem different degrees of existing for corresponding pulse condition, can more accurately obtain the health status of body；Meanwhile theoretical body
System has the characteristics that simplify very much practical, energy network analysis data, and health monitoring and health management scheme are combined, and reaches
Convenient and intelligent effect.
It is the preferred embodiment of the present invention above, it is noted that for those skilled in the art,
Various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as this hair
Bright protection scope.
Claims (9)
1. a kind of pulse condition detection method based on relative intensity pulse condition theory characterized by comprising
Successively is obtained by installing single sensor on detection means or multiple sensors and acquires multiple groups pulse profile data；
According to pulse profile data described in relative intensity pulse condition theory analysis multiple groups, diagnostic result is obtained；
Diagnostic result is presented to the user.
2. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 1, which is characterized in that institute
Stating pulse profile data includes left hand pulse profile data and right hand pulse profile data；The left hand pulse profile data includes heart rapid pulse evidence, liver rapid pulse
According to, kidney rapid pulse evidence；The right hand pulse profile data includes lung rapid pulse evidence, spleen rapid pulse evidence, gate of vitality's data.
3. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 2, which is characterized in that institute
It states and is grouped pulse profile data according to relative intensity pulse condition theory analysis, obtain diagnostic result, specifically:
It is compared according to the relative intensity of the comparison of the relative intensity of the left hand pulse profile data and the right hand pulse profile data, is obtained respectively
Left hand pulse condition comparing result and right hand pulse condition comparing result are obtained, and according to the left hand pulse condition comparing result and the right hand pulse condition
Comparing result obtains diagnostic result.
4. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 3, which is characterized in that institute
It states and is compared according to the relative intensity of the left hand pulse profile data, obtain left hand pulse profile data comparing result, specifically:
The value of strongest pulse profile data in three pulse profile datas of left hand is scaled 3, then by other two left hand pulse profile datas
Value is zoomed in and out according to identical scaling, obtains the ratio of three pulse profile datas of left hand, three pulse conditions of the left hand
The ratio of data is the left hand pulse condition comparison result；The ratio numberical range 0~3.
5. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 4, which is characterized in that root
According to the left hand pulse profile data comparing result, diagnostic result is obtained, specifically: the ratio of the left hand pulse profile data comparing result
When numerical value is consistent, the normal diagnostic result of pulse condition is obtained；The ratio numerical value of the left hand pulse profile data comparing result is different
When cause, other outer two pulse condition diagnostic results of problems of the most strong pulse condition of left hand are obtained.
6. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 3, which is characterized in that institute
It states and is compared according to the relative intensity of the right hand pulse profile data, obtain right hand pulse profile data comparison result, specifically:
The value of strongest pulse profile data in three pulse profile datas of the right hand is scaled 3, then by other two right hand pulse profile datas
Value is zoomed in and out according to identical scaling, obtains the ratio of three pulse profile datas of the right hand, three pulse conditions of the right hand
The ratio of data is the right hand pulse condition comparison result；The ratio numberical range 0~3.
7. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 6, which is characterized in that root
According to the right hand pulse profile data comparing result, diagnostic result is obtained, specifically: the ratio of the right hand pulse profile data comparing result
When numerical value is consistent, the normal diagnostic result of pulse condition is obtained；The ratio numerical value of the right hand pulse profile data comparing result is different
When cause, other outer two pulse condition diagnostic results of problems of the most strong pulse condition of the right hand are obtained.
8. a kind of pulse condition detection method based on relative intensity pulse condition theory according to claim 1, which is characterized in that institute
It states and is presented to the user diagnostic result, specifically: diagnostic result is presented to the user by client.
9. a kind of device based on relative intensity pulse condition theory detection pulse profile data, which is characterized in that the executable power of described device
Benefit require any one of 1 to 8 described in method.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1543911A (en) * | 2003-11-13 | 2004-11-10 | 李士春 | Pulse-taking sensing system for traditional Chinese medical science |
| CN101099665A (en) * | 2007-08-21 | 2008-01-09 | 中国科学院计算技术研究所 | A pulse detection device and method of use thereof |
| CN102551684A (en) * | 2010-12-31 | 2012-07-11 | 中国科学院计算技术研究所 | Pulse detecting system |
| CN202489940U (en) * | 2011-12-23 | 2012-10-17 | 中国计量学院 | Pulse condition information collecting system |
| CN104305971A (en) * | 2014-11-07 | 2015-01-28 | 冯文强 | Pulse-taking detection method, pulse-taking instrument and system |
| US20170251938A1 (en) * | 2014-08-27 | 2017-09-07 | Seiko Epson Corporation | Biological information measuring device |
-
2018
- 2018-07-20 CN CN201810809334.1A patent/CN109044288A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1543911A (en) * | 2003-11-13 | 2004-11-10 | 李士春 | Pulse-taking sensing system for traditional Chinese medical science |
| CN101099665A (en) * | 2007-08-21 | 2008-01-09 | 中国科学院计算技术研究所 | A pulse detection device and method of use thereof |
| CN102551684A (en) * | 2010-12-31 | 2012-07-11 | 中国科学院计算技术研究所 | Pulse detecting system |
| CN202489940U (en) * | 2011-12-23 | 2012-10-17 | 中国计量学院 | Pulse condition information collecting system |
| US20170251938A1 (en) * | 2014-08-27 | 2017-09-07 | Seiko Epson Corporation | Biological information measuring device |
| CN104305971A (en) * | 2014-11-07 | 2015-01-28 | 冯文强 | Pulse-taking detection method, pulse-taking instrument and system |
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