CN115299901A - Traditional Chinese medicine pulse condition map generation method based on wrist type sphygmomanometer detection data - Google Patents

Traditional Chinese medicine pulse condition map generation method based on wrist type sphygmomanometer detection data Download PDF

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CN115299901A
CN115299901A CN202210988390.2A CN202210988390A CN115299901A CN 115299901 A CN115299901 A CN 115299901A CN 202210988390 A CN202210988390 A CN 202210988390A CN 115299901 A CN115299901 A CN 115299901A
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刘学
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Shenyang Xingze Health Technology Co ltd
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    • AHUMAN NECESSITIES
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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    • A61B5/02108Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
    • A61B5/02116Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave amplitude
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
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    • A61B5/4854Diagnosis based on concepts of traditional oriental medicine

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Abstract

The invention discloses a traditional Chinese medicine pulse condition map generation method based on wrist sphygmomanometer detection data, which comprises the following steps: collecting complete blood pressure and pulse wave data in a detection period, and drawing a two-dimensional polygonal motion curve as a pulse condition map; taking standard normal blood pressure data and standard normal pulse data as references, obtaining a reference pulse-flattening map and data, and constructing a basic pulse condition classification coordinate system S-P of the traditional Chinese medicine; the detected pulse condition atlas is placed under S-P to be compared and registered with a reference plain pulse atlas, four basic pulse condition categories of deficiency, excess, delay and number and composite pulse condition atlas data are obtained, and 5 basic characteristic parameters are obtained; comparing the 5 basic characteristic parameters of the other detected pulse conditions with the standard pulse-level characteristics to obtain 21 kinds of pulse condition classification data. The invention improves the teaching mode of simple abstract character description in the traditional Chinese medicine pulse diagnosis teaching, gives standard, uniform and objective maps and data to pulse conditions, and provides reference basis for teacher and student pulse diagnosis training.

Description

Traditional Chinese medicine pulse condition map generation method based on wrist type sphygmomanometer detection data
Technical Field
The invention relates to the technical field of medical atlas generation, in particular to a traditional Chinese medicine pulse condition atlas generation method based on wrist type sphygmomanometer detection data.
Background
For a long time, because of the lack of standardized, objective and visualized pulse condition maps and pulse condition data, the traditional Chinese medicine pulse-taking teaching and training is always limited to be carried out in an abstract text and language description teaching mode, teachers are difficult to express, and students are difficult to grasp and understand, so that the traditional Chinese medicine pulse-taking teaching and training is always in an embarrassed state of 'easy to feel and difficult to see under the fingers', the traditional Chinese medicine pulse-taking teaching and student pulse-taking training quality is difficult to improve, and the clinical diagnosis and treatment are influenced finally.
Although traditional Chinese medicine pulse diagnosis instruments are available at present, the traditional Chinese medicine pulse diagnosis instruments do not have teaching maps, are mainly used for clinical diagnosis, and can be individually used for teaching and training traditional Chinese medicine pulse diagnosis, but have the following defects that 1) pulse condition data acquisition equipment of various pulse diagnosis instruments or systems is not uniform, and the detection is difficult to objectify and standardize; 2) The data acquisition process is not standard, and the acquired data is not complete enough; 3) The obtained pulse conditions are of too few types, generally only 8 types, and cannot meet the teaching requirement; 4) The device is too large in size, is only suitable for teaching in classrooms or laboratories, and is not suitable for training in clinical practice. Therefore, a method for generating a pulse condition map in traditional Chinese medicine is urgently needed to make up for the defects.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a traditional Chinese medicine pulse condition atlas generation method based on the detection data of a wrist sphygmomanometer.
The invention provides a traditional Chinese medicine pulse condition map generation method based on detection data of a wrist sphygmomanometer, which comprises the following steps of:
1) The complete blood pressure and pulse wave data in one detection period are collected through a wrist type sphygmomanometer, continuous data sequences of a blood pressure value, a pulse rate value, a wrist strap pressure value and an amplitude pressure value are extracted, and a two-dimensional polygonal motion curve is drawn to serve as a pulse condition map;
2) Taking standard normal blood pressure data and standard normal pulse data as references to obtain a reference plain pulse atlas and data;
3) Constructing a classification coordinate system S-P of the basic pulse condition of the traditional Chinese medicine by taking a reference flat pulse atlas and data as circular points, taking a pulse rate S as an abscissa axis and taking a blood pressure P as an ordinate axis;
4) The detected pulse condition atlas is placed under a basic pulse condition classification coordinate system S-P of the traditional Chinese medicine by utilizing a four-region four-condition basic classification rule of the traditional Chinese medicine, and is compared and registered with a standard flat pulse atlas to obtain four basic pulse condition categories of deficiency, excess, delay and number, a composite pulse condition atlas and a data range;
5) Comparing the detected 4 basic pulse conditions, compound pulse condition maps and data thereof with the standard flat pulse condition map and data thereof to obtain 5 basic characteristic parameters;
6) Comparing the detected 5 basic characteristic parameters of other pulse conditions with the reference flat pulse characteristics, further obtaining 20 classification map data of real, smooth, wiry, deficient, thin, micro, slow, astringent, knotted, rapid, quick, firm, generative, prompt, scattered, floating, sinking and weak pulse conditions, and establishing 21 classification data of pulse conditions including the flat pulse.
In the step 1), the complete blood pressure and pulse wave data in one detection period are acquired through a wrist sphygmomanometer, the complete wrist pressure charging and discharging process in the blood pressure detection period process is included, and the period duration time T = 10-60 seconds; the collected data is the 'pressing' pulse wave data in the pulse-taking fingering of traditional Chinese medicine.
In the step 2), the systolic pressure P = 110-130 mmHg, the diastolic pressure P1= 70-90 mmHg, the pulse rate S = 70-90 times/min, the interval between the peaks T-T of adjacent pulse waves is equal, the curve pressure H1 of the main wave amplitude of the pulse wave is 165-190 mmHg, and the amplitude pressure H2 of the secondary wave of the pulse wave is less than 15mmHg.
In the step 3), the origin of the Chinese medicine basic pulse condition classification coordinate system S-P is (80, 120), and the point values represent normal pulse rate and systolic pressure; wherein the data unit of the S axis is in times/min, and the data unit of the P axis is in mmHg.
In the step 4), the four-region four-pulse-condition basic classification rule of the traditional Chinese medicine pulse condition is that under a traditional Chinese medicine basic pulse condition classification coordinate system S-P, a first-four-quadrant region of a plane coordinate system X-Y in the mathematical field is referred, the traditional Chinese medicine basic pulse condition classification coordinate system S-P is divided into four quadrants, in the traditional Chinese medicine basic pulse condition classification coordinate system S-P, an abscissa axis S and an ordinate axis P are respectively taken as baselines, a region above the abscissa axis S and exceeding the systolic pressure P =130mmHg is taken as a real pulse region, a region below the abscissa axis S and lower than the systolic pressure P =110mmHg is taken as a virtual pulse region, a region on the right side of the ordinate axis P and exceeding the pulse rate S =90 times/minute is taken as a pulse counting region, and a region on the left side of the ordinate axis P and lower than the pulse rate S =70 times/minute is taken as a slow pulse region; comparing and registering the detected pulse condition map and data thereof with data in four regions of four conditions in a Chinese medicine basic pulse condition classification coordinate system S-P to obtain a full-pulse type pulse condition map and data, a deficient-pulse type pulse condition map and data, a rapid-pulse type pulse condition map and data and a delayed-pulse type pulse condition map and data; meanwhile, in the first to fourth quadrants, the overlapped parts of the forceful pulse region, the deficient pulse region, the rapid pulse region and the slow pulse region are all composite regions.
In the step 5), from the real, virtual, digital and late 4 basic pulse condition classification maps and data, the peaks, troughs and wave frequencies of the amplitudes are compared and screened with the reference flat pulse maps and data to obtain 5 basic characteristic parameters, which comprises the following steps: systolic pressure P in mmHg; pulse rate S in units of times/min; the pulse wave dominant wave amplitude curve pressure H1 is in mmHg; the amplitude pressure H2 of the pulse wave secondary wave is expressed in mmHg; the distance T-T between the wave peaks of adjacent pulse waves is millimeter mm.
The 21 pulse condition maps and data in the step 6) comprise 1 pulse condition of the plain pulse, and also comprise: the data belongs to the excess, smooth and chordal pulse regions of the S-P classification coordinate system of the basic pulse condition of the traditional Chinese medicine, the data belongs to the deficiency, fineness and microsize pulse regions, the data belongs to the slow, astringent and knotted pulse regions, and the data belongs to the rapid and sick pulse conditions of the pulse counting regions which are 12 pulse conditions; the data belongs to 1 pulse condition of artery of a compound pulse area of a first quadrant, 1 pulse condition of jail pulse of a compound pulse area of a second quadrant, 1 pulse condition of surrogate pulse of a compound pulse area of a third quadrant, and 1 pulse condition of scattered pulse of a compound pulse area of a fourth quadrant; 4 pulse conditions including superficial, deep, weak and promotion are classified by using the pulse wave main wave amplitude curve pressure H1 and the adjacent pulse wave peak distance T-T in 5 basic characteristic parameters.
The basic characteristic parameters for generating the pulse chart of the actual pulses are as follows: p = 131-135mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the slippery pulse picture are as follows: p = 125-135mmHg, S = 70-90 times/min, H1 is more than 190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the chordal pulse manifestation map are as follows: p is more than 135mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the virtual pulse manifestation map are as follows: p = 80-109mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the thready pulse picture are as follows: p = 80-109mmHg, S = 70-90 times/min, H1 > 190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the micro-pulse picture are as follows: p is less than 80mmHg, S is 70-90 times/minute, H1 is less than 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the laterospinal pulse picture are as follows: p = 110-130mmHg, S < 60 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the slow pulse manifestation map are as follows: p = 110-130mmHg, S = 60-69 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse-taking picture of astringency are as follows: p = 110-130mmHg, S is less than 60 times/minute, H1= 165-190mmHg, H2 is more than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the junction pulse picture are as follows: p = 110-130mmHg, S is less than 60 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are different;
the basic characteristic parameters for generating the pulse-taking and pulse-taking map are as follows: p = 110-130mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the rapid pulse chart are as follows: p = 110-130mmHg, S is more than 120 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the arterial pulse picture are as follows: p is more than 135mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse picture are as follows: p is more than 135mmHg, S is less than 75 times/min, H1 is less than 165mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse-taking pulse picture are as follows: p = 90-109mmHg, S is less than 75 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are different;
the basic characteristic parameters for generating the pulse-promoting pulse picture are as follows: p = 110-130mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2<15mmHg, T-T intervals are different;
the basic characteristic parameters for generating the scattered pulse chart are as follows: p is less than 80mmHg, S is more than 95 times per minute, H1 is more than 170mmHg, H2 is less than 15mmHg, and T-T intervals are different;
the basic characteristic parameters for generating the floating pulse manifestation map are as follows: p = 100-120mmHg, S = 70-90 times/min, H1 > 200mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse-taking map of the sunken vessels are as follows: p = 110-130mmHg, S = 70-90 times/min, H1 < 165mm, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the weak pulse condition map are as follows: p = 80-109mmHg, S = 70-90 times/min, H1 is less than 165mm, H2 is less than 15mmHg, and T-T intervals are equal.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the traditional Chinese medicine pulse condition atlas generation method based on the wrist type sphygmomanometer detection data.
The invention also provides a non-transitory computer readable storage medium on which a computer program is stored, which computer program, when executed by a processor, performs the steps of the method for generating a pulse condition atlas in traditional Chinese medicine based on wrist sphygmomanometer test data.
The invention has the following beneficial effects and advantages:
1. the method finally obtains 21 pulse condition maps and data by establishing an identification model for classifying various pulse conditions in more detail, can improve the teaching mode of simple abstract character description in the traditional Chinese medicine pulse diagnosis teaching, endows the pulse conditions with standard, uniform and objective maps and data, and provides reference basis for primary doctor pulse diagnosis training.
2. The method can generate the pulse condition map at a mobile equipment end (such as a mobile phone end), and students can understand the description and explanation of the pulse condition by teachers more deeply through the visual difference between the pulse condition maps in the specific teaching process, so that the teaching and practice are combined, and the method is not only suitable for teaching in classrooms or laboratories, but also suitable for clinical study and training and the like.
Drawings
FIG. 1 is a flow chart of a method for generating a pulse condition map of traditional Chinese medicine based on data detected by a wrist sphygmomanometer according to the present invention;
FIG. 2 is a reference plain atlas to which the method of the invention relates;
FIG. 3 is a coordinate system of the basic pulse condition classification of Chinese medicine in the method of the present invention;
FIG. 4 is a diagram of the four-region four-phrase basic classification rule of pulse conditions in traditional Chinese medicine according to the method of the present invention;
FIG. 5 is a schematic diagram of a pulse condition atlas generating system in the invention;
FIG. 6 is a topological diagram of a pulse condition atlas generating system in the invention;
FIG. 7 is a pulse-flattening atlas collected and generated by the method of the present invention;
FIGS. 8 to 27 are graphs of the real, smooth, wiry, deficient, fine, slight, slow, astringent, knotted, rapid, quick, dynamic, firm, rapid, scattered, floating, deep and weak pulse conditions collected and generated by the method of the present invention, respectively.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are merely illustrative of the present application and do not delimit the present invention.
As shown in figure 1, the traditional Chinese medicine pulse condition atlas generation and analysis method based on the detection data of the standard wrist sphygmomanometer provided by the invention comprises the following steps:
1) The method comprises the steps that complete blood pressure and pulse wave data in one detection period are collected through a wrist type sphygmomanometer, continuous data sequences of a blood pressure value, a pulse rate value, a wrist strap pressure value and an amplitude pressure value are extracted, and a two-dimensional polygonal motion curve is drawn to serve as a pulse condition map;
2) Taking standard normal blood pressure data and standard normal pulse data as references to obtain a reference pulse flattening atlas and data;
3) Constructing a classification coordinate system S-P of the basic pulse condition of the traditional Chinese medicine by taking a reference flat pulse atlas and data as circular points, taking a pulse rate S as an abscissa axis and taking a blood pressure P as an ordinate axis;
4) The detected pulse condition atlas is placed under a basic pulse condition classification coordinate system S-P of the traditional Chinese medicine by utilizing a four-region four-condition basic classification rule of the traditional Chinese medicine, and is compared and registered with a standard flat pulse atlas to obtain four basic pulse condition categories of deficiency, excess, delay and number, a composite pulse condition atlas and a data range;
5) Comparing the detected 4 basic pulse conditions, compound pulse condition maps and data thereof with the standard flat pulse condition map and data thereof to obtain 5 basic characteristic parameters;
6) And comparing the detected 5 basic characteristic parameters of other pulse conditions with the reference flat pulse characteristic to further obtain 20 pulse condition classification map data of real, smooth, wiry, deficient, thin, micro, slow, astringent, knotted, rapid, moving, firm, generative, prompt, scattered, floating, sinking and weak, and establishing 21 pulse condition classification data including the flat pulse.
In the step 1), the complete blood pressure and pulse wave data in one detection period are acquired through a wrist sphygmomanometer in the step 1), the complete wrist pressure charging and discharging process in the blood pressure detection period process is included, and the period duration time T = 10-60 seconds; the collected data is the 'pressing' pulse wave data in the pulse-taking fingering of traditional Chinese medicine.
The "general pressing" pulse wave data in the pulse diagnosis and treatment of traditional Chinese medicine is the pulse wave data of the "non-fractional pulse method" of traditional Chinese medicine. The atlas contains all the pulse wave curves in one blood pressure detection period, and the duration is 60 seconds.
In step 2), comprehensively referring to the descriptions of traditional Chinese medicine pulse conditions in textbooks of diagnostics of the ninth edition and diagnostics of traditional Chinese medicine, determining the systolic pressure P = 110-130 mmHg, the diastolic pressure P1= 70-90 mmHg, the pulse rate S = 70-90 times/minute of the standard plain pulse atlas and data, the interval T-T between the wave peaks of adjacent pulse waves is equal, the pressure H1 of the main wave amplitude curve of the pulse waves is 165-190 mmHg, and the pressure H2 of the auxiliary wave amplitude of the pulse waves is less than 15mmHg in the step 2). The baseline pingmai map is shown in figure 2.
Step 3) establishing a Chinese medicine basic pulse condition classification coordinate system S-P shown in figure 3, wherein the origin point is (80, 120) and represents the point values of normal pulse rate and systolic pressure; wherein the data unit of the S axis is in times/min, and the data unit of the P axis is in mmHg.
In the step 4), the four-region four-quadrant basic classification rule of the pulse condition in the traditional Chinese medicine is that under a basic pulse condition classification coordinate system S-P of the traditional Chinese medicine, the basic pulse condition classification coordinate system S-P of the traditional Chinese medicine is divided into four quadrants by referring to first to four quadrant regions of a plane coordinate system X-Y in the mathematical field, in the basic pulse condition classification coordinate system S-P of the traditional Chinese medicine, an abscissa axis S and an ordinate axis P are respectively taken as baselines, a region above the abscissa axis S and exceeding systolic pressure P =130mmHg is taken as a real pulse region, a region below the abscissa axis S and lower than the systolic pressure P =110mmHg is taken as a virtual pulse region, a region on the right side of the ordinate axis P and exceeding the pulse rate S =90 times/minute is taken as a pulse counting region, and a region on the left side of the ordinate axis P and lower than the pulse rate S =70 times/minute is taken as a delayed pulse region; comparing and registering the detected pulse condition maps and data thereof with data in four regions of four conditions in a Chinese medicine basic pulse condition classification coordinate system S-P to obtain actual pulse condition maps and data, deficient pulse condition maps and data, rapid pulse condition maps and data and delayed pulse condition maps and data; meanwhile, in the first to fourth quadrants, the overlapped parts of the forceful pulse region, the deficient pulse region, the rapid pulse region and the slow pulse region are all composite regions. The compound pulses include 4 kinds of rapid pulses and excessive pulses, delayed pulses and deficient pulses, and rapid pulses and deficient pulses, as shown in FIG. 4.
In the step 5), from the real, virtual, digital and delayed 4 basic pulse condition classification maps and data, the peak, trough and wave frequency of the amplitude are compared and screened with the reference flat pulse map and data to obtain 5 basic characteristic parameters, which include: systolic pressure P in mmHg; pulse rate S in units of times/min; the pulse wave main wave amplitude curve pressure H1 is expressed in mmHg; the amplitude pressure H2 of the pulse wave secondary wave is expressed in mmHg; the distance T-T between the wave peaks of adjacent pulse waves is millimeter mm.
This step determines the basic characteristic parameters for identifying each pulse, i.e. 21 pulse conditions are distinguished by comparing 5 basic characteristic parameters.
The 21 pulse condition maps and data in the step 6) comprise 1 pulse condition of the plain pulse, and also comprise: the data belongs to the excess, smooth and chordal pulse regions of the S-P classification coordinate system of the basic pulse condition of the traditional Chinese medicine, the data belongs to the deficiency, fineness and microsize pulse regions, the data belongs to the slow, astringent and knotted pulse regions, and the data belongs to the rapid and sick pulse conditions of the pulse counting regions which are 12 pulse conditions; the data belongs to 1 artery pulse condition of the compound pulse area of the first quadrant, the data belongs to 1 firm pulse condition of the compound pulse area of the second quadrant, the data belongs to 1 surrogate pulse condition of the compound pulse area of the third quadrant, and the data belongs to 1 scattered pulse condition of the compound pulse area of the fourth quadrant; 4 pulse conditions including floating, sinking, weak and promotion are classified by using the pulse wave main wave amplitude curve pressure H1 and the adjacent pulse wave peak distance T-T in 5 basic characteristic parameters, and the method specifically comprises the following steps:
the basic characteristic parameters for generating the pulse chart of the actual pulses are as follows: p = 131-135mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal; the difference between the forceful pulse and the normal pulse is P = 130-135 mmHg;
the basic characteristic parameters for generating the slippery pulse picture are as follows: p = 125-135mmHg, S = 70-90 times/min, H1 > 190mmHg, H2<15mmHg, and T-T intervals are equal;
the difference between the smooth pulse and the flat pulse is that the smooth pulse has two characteristics of H1 > 190mm and P = 125-135 mmHg;
the basic characteristic parameters for generating the chordal pulse manifestation map are as follows: p is more than 135mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal; the difference between the chordal pulse and the Pingtai pulse is that P is more than 135mmHg;
the basic characteristic parameters for generating the virtual pulse picture are as follows: p = 80-109mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal; the difference between the deficient pulse and the normal pulse is P = 80-109 mmHg;
the basic characteristic parameters for generating the thready pulse picture are as follows: p = 80-109mmHg, S = 70-90 times/min, H1 > 190mmHg, H2<15mmHg, and T-T intervals are equal; compared with the normal pulse, the thready pulse has the two characteristics of P = 80-109 mmHg and H1 > 190 mm;
the basic characteristic parameters for generating the micro-pulse picture are as follows: p is less than 80mmHg, S is 70-90 times/minute, H1 is less than 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal; the difference between the micro pulse and the flat pulse is that P is less than 80mmHg;
the basic characteristic parameters for generating the lateritic pulse chart are as follows: p = 110-130mmHg, S is less than 60 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal; the difference between the slow pulse and the flat pulse is that S is less than 60 times/minute;
the basic characteristic parameters for generating the slow pulse manifestation map are as follows: p = 110-130mmHg, S = 60-69 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal; the slow pulse is compared with the flat pulse, and the difference is S = 60-69 times/minute;
the basic characteristic parameters for generating the pulse-taking picture of astringency are as follows: p = 110-130mmHg, S < 60 times/min, H1= 165-190mmHg, H2 > 15mmHg, and T-T intervals are equal; the difference between the astringency pulse and the peace pulse is that S is less than 60 times/min, H2 is more than 15 mm;
the basic characteristic parameters for generating the junction pulse picture are as follows: p = 110-130mmHg, S < 60 times/min, H1= 165-190mmHg, H2<15mmHg, T-T intervals are different; compared with the plain pulse, the difference is that the Chinese medicinal preparation has two characteristics of S less than 60 times/minute and unequal T-T intervals;
the basic characteristic parameters for generating the pulse-taking map are as follows: p = 110-130mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal; the difference between the rapid pulse and the flat pulse is S = 91-120 times/minute;
the basic characteristic parameters for generating the rapid pulse manifestation map are as follows: p = 110-130mmHg, S is more than 120 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal; the difference between rapid pulse and flat pulse is S > 120 times/min;
the basic characteristic parameters for generating the arterial pulse picture are as follows: p is more than 135mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal; compared with the flat pulse, the artery has the three characteristics of S = 91-120 times/minute, P > 135mmHg and H1= 165-190 mm;
the basic characteristic parameters for generating the pulse picture are as follows: p is more than 135mmHg, S is less than 75 times/min, H1 is less than 165mmHg, H2 is less than 15mmHg, and T-T intervals are equal; compared with the pulse, the difference is that H1 is less than 165mm, P is more than 145mmHg 2;
the basic characteristic parameters for generating the pulse-taking picture are as follows: p = 90-109mmHg, S is less than 75 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are different; the difference between the pulse generation and the flat pulse is that the pulse has the characteristics of S less than 75 times/min, unequal T-T intervals and P = 90-109 mmHg;
the basic characteristic parameters for generating the pulse-promoting pulse picture are as follows: p = 110-130mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2<15mmHg, T-T intervals are different; the difference between the pulse-promoting and the flat pulse is, the device has two characteristics of S = 91-120 times/minute and unequal T-T intervals;
the basic characteristic parameters for generating the scattered pulse manifestation map are as follows: p is less than 80mmHg, S is more than 95 times per minute, H1 is more than 170mmHg, H2 is less than 15mmHg, and T-T intervals are different; compared with the pulse-dispersing and pulse-calming, the difference is that H1 is more than 170mm, P is less than 80mmHg, S is more than 95 times per minute, and T-T intervals are different by 4 characteristics;
the basic characteristic parameters for generating the floating pulse manifestation map are as follows: p = 100-120mmHg, S = 70-90 times/min, H1 > 200mmHg, H2<15mmHg, and T-T intervals are equal; compared with the flat pulse, the difference is that H1 is more than 200mm, P = 100-120 mmHg;
the basic characteristic parameters for generating the pulse-taking map of the deep pulse are as follows: p = 110-130mmHg, S = 70-90 times/min, H1 < 165mm, H2<15mmHg, and T-T intervals are equal; the difference between deep pulse and flat pulse is H1 less than 165mm;
the basic characteristic parameters for generating the weak pulse manifestation map are as follows: p = 80-109mmHg, S = 70-90 times/min, H1 is less than 165mm, H2 is less than 15mmHg, and T-T intervals are equal; the weak pulse is different from the normal pulse in that H1 is less than 165mm and P = 80-109 mmHg.
The basic characteristic parameter data of the above 21 pulse conditions are referred to table 1.
TABLE 1
Serial number Pulse condition name P(mmHg) S (times/minute) H1(mmHg) P1(mmHg) H2(mmHg) T-T
1 Flat plate 110~130 70~90 165~190 70~90 <15 Is equal to
2 Fruit of Chinese wolfberry 131~135 70~90 165~190 —— <15 Is equal to
3 Sliding device 125~135 70~90 >190 —— <15 Is equal to
4 String >135 70~90 165~190 —— <15 Is equal to
5 Deficiency of Qi 80~109 70~90 165~190 —— <15 Is equal to
6 Thin and thin 80~109 70~90 >190 —— <15 Is equal to
7 Micro-meter <80 70~90 165~190 —— <15 Is equal to
8 Delay 110~130 <60 165~190 —— <15 Is equal to
9 Buffer for storage of articles 110~130 60~69 165~190 —— <15 Is equal to
10 Astringent taste 110~130 <60 165~190 —— >15 Is equal to
11 Knot 110~130 <60 165~190 —— <15 Is not equal to
12 Number of 110~130 91~120 165~190 —— <15 Is equal to
13 Disease of the heart 110~130 >120 165~190 —— <15 Is equal to
14 Movable part >135 91~120 165~190 —— <15 Is equal to
15 Firm >135 <75 <165 —— <15 Is equal to
16 Substitute for Chinese character' zhao 90~109 <75 165~190 —— <15 Is not equal to
17 Promote the growth of 110~130 91~120 165~190 —— <15 Is not equal to
18 Powder medicine <80 >95 >170 —— <15 Is not equal to
19 Floating body 100~120 70~90 >200 —— <15 Is equal to
20 Sink with a metal plate 110~130 70~90 <165 —— <15 Is equal to
21 Weak (weak) 80~109 70~90 <165 —— <15 Is equal to
As shown in fig. 5, the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the pulse condition atlas generation method in traditional chinese medicine.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for generating a pulse condition map of traditional Chinese medicine based on detected data of a wrist sphygmomanometer.
As shown in fig. 6, an execution subject of the method of the present invention is a processor, which may be specifically a local processor, which may be a smart phone, a tablet computer, a computer, or the like, and the local processor is not limited in the embodiment of the present invention.
In this embodiment, the wrist blood pressure monitor may be a wrist blood pressure monitor with the non-transitory computer-readable storage medium, on which a traditional Chinese medicine pulse condition map generation computer program is stored, and when the computer program is loaded into the wrist blood pressure monitor, the wrist blood pressure monitor executes the traditional Chinese medicine pulse condition map generation computer program while obtaining pulse wave data in a detection process, generates a map graph in a pre-designed template pattern, divides the measured data into corresponding maps according to a data range in a table, and displays the maps at a specified position of the graph; the wrist type sphygmomanometer can also be a Bluetooth wrist type sphygmomanometer, data are transmitted to the mobile phone end in a wireless mode, the wrist type sphygmomanometer can also be a wrist type sphygmomanometer with a physical network communication interface, the data are transmitted to the mobile phone end in a wired mode, the data are uploaded to the server end by the mobile phone end for data analysis, and then the analysis result is transmitted back to the mobile phone end by the server for data and graphic display. The mobile phone end can be in wireless communication with the wrist type sphygmomanometer through the Bluetooth, and can send instructions to start or close the wrist type sphygmomanometer while receiving data of the wrist type sphygmomanometer.
This example provides 21 pulse condition maps measured by the method, and further shows the obvious difference in visual morphology between different pulse condition maps.
As shown in fig. 26, the measured pulse condition atlas data of a certain 34-year-old female patient is specifically: p is 119mmHg, S is 84 times/minute, H1=150mmHg, H2<15mmHg, T-T intervals are equal, and the data can be judged as deep pulse by the above table. The above-mentioned data that detect by wrist sphygmomanometer make the atlas through bluetooth wireless transmission to chinese medical student's cell-phone end and show, and in the picture, the left side ordinate is wrist strap atmospheric pressure value and amplitude pressure value, unit: mmHg (millimeters of mercury), right ordinate: pulse wave amplitude voltage, unit: mv (millivolt), the abscissa is the number of effective sampling points in 1 minute, unit: and (4) respectively.
Fig. 7 to 27 are respectively screen shots of a mobile phone terminal of a flat, solid, smooth, wiry, deficient, thin, micro, slow, astringent, knotted, rapid, motional, firm, generative, short, scattered, floating, sunken and weak pulse condition spectrum acquired and generated by the method of the invention, and students can understand the description and explanation of the pulse condition by teachers more deeply through the visual difference between the pulse condition spectra in the specific teaching process, so that the teaching and practice are combined, and the method is not only suitable for teaching in classrooms or laboratories, but also suitable for daily learning and training and the like.

Claims (10)

1. A traditional Chinese medicine pulse condition atlas generation method based on wrist sphygmomanometer detection data is characterized by comprising the following steps:
1) The complete blood pressure and pulse wave data in one detection period are collected through a wrist type sphygmomanometer, continuous data sequences of a blood pressure value, a pulse rate value, a wrist strap pressure value and an amplitude pressure value are extracted, and a two-dimensional polygonal motion curve is drawn to serve as a pulse condition map;
2) Taking standard normal blood pressure data and standard normal pulse data as references to obtain a reference pulse flattening atlas and data;
3) Constructing a classification coordinate system S-P of the basic pulse condition of the traditional Chinese medicine by taking a reference flat pulse atlas and data as circular points, taking a pulse rate S as an abscissa axis and taking a blood pressure P as an ordinate axis;
4) The detected pulse condition atlas is placed under a basic pulse condition classification coordinate system S-P of the traditional Chinese medicine by utilizing a four-region four-condition basic classification rule of the traditional Chinese medicine, and is compared and registered with a standard flat pulse atlas to obtain four basic pulse condition categories of deficiency, excess, delay and number, a composite pulse condition atlas and a data range;
5) Comparing the detected 4 basic pulse conditions, compound pulse condition maps and data thereof with the standard flat pulse condition map and data thereof to obtain 5 basic characteristic parameters;
6) Comparing the detected 5 basic characteristic parameters of other pulse conditions with the reference flat pulse characteristics, further obtaining 20 classification map data of real, smooth, wiry, deficient, thin, micro, slow, astringent, knotted, rapid, quick, firm, generative, prompt, scattered, floating, sinking and weak pulse conditions, and establishing 21 classification data of pulse conditions including the flat pulse.
2. The traditional Chinese medicine pulse condition spectrum generation method based on the wrist sphygmomanometer detection data as claimed in claim 1, is characterized in that: in the step 1), the complete blood pressure and pulse wave data in one detection period are acquired through a wrist sphygmomanometer, wherein the data comprise a complete wrist pressure charging and discharging process in the blood pressure detection period process, and the period duration T = 10-60 seconds; the collected data is the 'pressing' pulse wave data in the pulse-taking fingering of traditional Chinese medicine.
3. The traditional Chinese medicine pulse condition spectrum generation method based on the wrist sphygmomanometer detection data as claimed in claim 1, is characterized in that: in the step 2), the systolic pressure P = 110-130 mmHg, the diastolic pressure P1= 70-90 mmHg, the pulse rate S = 70-90 times/min, the peak intervals T-T of adjacent pulse waves are equal, the main wave amplitude curve pressure H1 of the pulse waves is 165-190 mmHg, and the secondary wave amplitude pressure H2 of the pulse waves is less than 15mmHg of the reference level pulse atlas and data.
4. The traditional Chinese medicine pulse condition atlas generation method based on wrist sphygmomanometer detected data, which is characterized by comprising the following steps: in the step 3), the origin of the Chinese medicine basic pulse condition classification coordinate system S-P is (80, 120), and the origin represents the point values of normal pulse rate and systolic pressure; wherein the data unit of S axis is sub/min, and the data unit of P axis is mmHg.
5. The traditional Chinese medicine pulse condition atlas generation method based on wrist sphygmomanometer detected data, which is characterized by comprising the following steps: in the step 4), the four-region four-pulse-condition basic classification rule of the traditional Chinese medicine pulse condition is that under a traditional Chinese medicine basic pulse condition classification coordinate system S-P, a first-four-quadrant region of a plane coordinate system X-Y in the mathematical field is referred, the traditional Chinese medicine basic pulse condition classification coordinate system S-P is divided into four quadrants, in the traditional Chinese medicine basic pulse condition classification coordinate system S-P, an abscissa axis S and an ordinate axis P are respectively taken as baselines, a region above the abscissa axis S and exceeding the systolic pressure P =130mmHg is taken as a real pulse region, a region below the abscissa axis S and lower than the systolic pressure P =110mmHg is taken as a virtual pulse region, a region on the right side of the ordinate axis P and exceeding the pulse rate S =90 times/minute is taken as a pulse counting region, and a region on the left side of the ordinate axis P and lower than the pulse rate S =70 times/minute is taken as a slow pulse region; comparing and registering the detected pulse condition maps and data thereof with data in four regions of four conditions in a Chinese medicine basic pulse condition classification coordinate system S-P to obtain actual pulse condition maps and data, deficient pulse condition maps and data, rapid pulse condition maps and data and delayed pulse condition maps and data; meanwhile, in the first to fourth quadrants, the overlapped parts of the forceful pulse region, the deficient pulse region, the rapid pulse region and the slow pulse region are all composite regions.
6. The traditional Chinese medicine pulse condition atlas generation method based on wrist sphygmomanometer detected data, which is characterized by comprising the following steps: in the step 5), from the real, virtual, digital and delayed 4 basic pulse condition classification maps and data, the peak, trough and wave frequency of the amplitude are compared and screened with the reference flat pulse map and data to obtain 5 basic characteristic parameters, which include: systolic pressure P in mmHg; pulse rate S in units of times/min; the pulse wave dominant wave amplitude curve pressure H1 is in mmHg; the amplitude pressure H2 of the secondary wave of the pulse wave is mmHg; the distance T-T between the wave peaks of adjacent pulse waves is millimeter mm.
7. The method for generating traditional Chinese medicine pulse condition maps based on wrist sphygmomanometer detected data according to claim 1, wherein the 21 pulse condition maps and data in step 6) comprise, in addition to 1 pulse condition of the plain pulse, the following steps: the data belongs to the excess, smooth and chordal pulse regions of the S-P classification coordinate system of the basic pulse condition of the traditional Chinese medicine, the data belongs to the deficiency, fineness and microsize pulse regions, the data belongs to the slow, astringent and knotted pulse regions, and the data belongs to the rapid and sick pulse conditions of the pulse counting regions which are 12 pulse conditions; the data belongs to 1 artery pulse condition of the compound pulse area of the first quadrant, the data belongs to 1 firm pulse condition of the compound pulse area of the second quadrant, the data belongs to 1 surrogate pulse condition of the compound pulse area of the third quadrant, and the data belongs to 1 scattered pulse condition of the compound pulse area of the fourth quadrant; the pressure H1 of the main wave amplitude curve of the pulse wave and the distance T-T between the wave peaks of the adjacent pulse waves in the 5 basic characteristic parameters are used for classifying 4 pulse conditions of floating, sinking, weak and promoting.
8. The method for generating a pulse condition atlas of traditional Chinese medicine based on wrist sphygmomanometer detected data according to claim 7, wherein the pulse condition atlas comprises a plurality of pulse condition atlases, and the pulse condition atlases are selected from the following group:
the basic characteristic parameters for generating the pulse manifestation map of the excessive pulses are as follows: p = 131-135mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the slippery pulse picture are as follows: p = 125-135mmHg, S = 70-90 times/min, H1 > 190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the chordal pulse manifestation map are as follows: p is more than 135mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the virtual pulse manifestation map are as follows: p = 80-109mmHg, S = 70-90 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the thready pulse picture are as follows: p = 80-109mmHg, S = 70-90 times/min, H1 is more than 190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the micro-pulse condition map are as follows: p is less than 80mmHg, S is 70-90 times/minute, H1 is less than 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the lateritic pulse chart are as follows: p = 110-130mmHg, S < 60 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the slow pulse manifestation map are as follows: p = 110-130mmHg, S = 60-69 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse-taking picture of astringency are as follows: p = 110-130mmHg, S is less than 60 times/minute, H1= 165-190mmHg, H2 is more than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the vein-joining pulse picture are as follows: p = 110-130mmHg, S < 60 times/min, H1= 165-190mmHg, H2<15mmHg, T-T intervals are different;
the basic characteristic parameters for generating the pulse-taking map are as follows: p = 110-130mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the rapid pulse manifestation map are as follows: p = 110-130mmHg, S > 120 times/min, H1= 165-190mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the arterial pulse picture are as follows: p is more than 135mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse picture are as follows: p is more than 135mmHg, S is less than 75 times/min, H1 is less than 165mmHg, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse-taking pulse picture are as follows: p = 90-109mmHg, S is less than 75 times/minute, H1= 165-190mmHg, H2 is less than 15mmHg, and T-T intervals are different;
the basic characteristic parameters for generating the pulse-promoting pulse picture are as follows: p = 110-130mmHg, S = 91-120 times/min, H1= 165-190mmHg, H2<15mmHg, T-T intervals are different;
the basic characteristic parameters for generating the scattered pulse chart are as follows: p is less than 80mmHg, S is more than 95 times per minute, H1 is more than 170mmHg, H2 is less than 15mmHg, and T-T intervals are different;
the basic characteristic parameters for generating the floating pulse manifestation map are as follows: p = 100-120mmHg, S = 70-90 times/min, H1 > 200mmHg, H2<15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the pulse-taking map of the deep pulse are as follows: p = 110-130mmHg, S = 70-90 times/min, H1 is less than 165mm, H2 is less than 15mmHg, and T-T intervals are equal;
the basic characteristic parameters for generating the weak pulse condition map are as follows: p = 80-109mmHg, S = 70-90 times/min, H1 < 165mm, H2<15mmHg, and T-T intervals are equal.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: the steps of the method for generating a pulse condition map of traditional Chinese medicine based on the detection data of the wrist sphygmomanometer according to any one of claims 1 to 8 are realized when the processor executes the program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that: the computer program when executed by a processor implements the steps of a method of traditional Chinese medical pulse manifestation map generation based on wrist sphygmomanometer test data as claimed in any one of claims 1 to 8.
CN202210988390.2A 2022-08-17 2022-08-17 Traditional Chinese medicine pulse condition map generation method based on wrist type sphygmomanometer detection data Pending CN115299901A (en)

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