A method for generating a traditional Chinese medicine pulse pattern based on wrist sphygmomanometer detection data

Abstract

The invention discloses a method for generating a pulse spectrum of traditional Chinese medicine based on detection data of a wrist sphygmomanometer, and the steps are as follows: collecting complete blood pressure and pulse wave data within a detection cycle, drawing a two-dimensional broken line motion curve as a pulse spectrum; taking standard normal blood pressure data and standard normal pulse data as a benchmark, obtaining a benchmark flat pulse spectrum and data, and constructing a basic pulse classification coordinate system S-P of traditional Chinese medicine; placing the detected pulse spectrum under S-P and comparing and registering with the benchmark flat pulse spectrum, obtaining four basic pulse categories of virtual, real, slow and rapid and composite pulse spectrum data, and obtaining 5 basic characteristic parameters; comparing the 5 basic characteristic parameters of other pulses detected with the benchmark flat pulse characteristics, and obtaining 21 kinds of pulse classification data. The invention improves the current teaching method of simple abstract text description in traditional Chinese medicine pulse diagnosis teaching, and gives pulse standard, unified and objective spectrum and data, providing a reference basis for pulse diagnosis training for teachers and students.

Description

Technical Field

[0001] The present invention relates to the technical field of medical atlas generation, in particular to a method for generating a traditional Chinese medicine pulse atlas based on wrist sphygmomanometer detection data. Background Art

[0002] For a long time, due to the lack of standardized, objective and visual pulse charts and data, the teaching and training of Chinese medicine pulse diagnosis has always been limited to the teaching method of abstract text and language description, which is difficult for teachers to express and students to grasp and understand. As a result, the teaching and training of Chinese medicine pulse diagnosis has always been in an awkward state of "easy to understand in the mind, difficult to understand under the fingers", making it difficult to improve the quality of Chinese medicine pulse diagnosis teaching and students' pulse diagnosis training, which ultimately affects clinical diagnosis and treatment.

[0003] Although there are Chinese medicine pulse diagnosis instruments available, they do not come with teaching maps and are mainly used for clinical diagnosis. Some can also be used for Chinese medicine pulse diagnosis teaching and training, but they have the following defects: 1) The pulse data acquisition equipment of various pulse diagnosis instruments or systems is not unified, and its detection is difficult to be objective and standardized; 2) The data acquisition process is not standardized, and the collected data is not complete; 3) The types of pulses obtained are too few, generally only 8, which cannot meet the teaching needs; 4) The equipment is too large and is only suitable for teaching in classrooms or laboratories, not suitable for training in clinical practice. Therefore, there is an urgent need for a method for generating a Chinese medicine pulse map to make up for the above shortcomings. Summary of the invention

[0004] In order to solve the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is to provide a method for generating a TCM pulse spectrum based on detection data of a wrist sphygmomanometer.

[0005] The present invention provides a method for generating a traditional Chinese medicine pulse spectrum based on detection data of a wrist sphygmomanometer, comprising the following steps:

[0006] 1) Collecting complete blood pressure and pulse wave data within a detection cycle through a wrist sphygmomanometer, extracting continuous data sequences of blood pressure value, pulse rate value, pulse rhythm value, wristband pressure value and amplitude pressure value, and drawing a two-dimensional broken line motion curve as a pulse spectrum;

[0007] 2) Taking the standard normal blood pressure data and the standard normal pulse data as the benchmark, obtaining the benchmark pulse spectrum and data;

[0008] 3) Using the reference pulse spectrum and data as dots, pulse rate S as the horizontal axis, and blood pressure P as the vertical axis, a basic pulse classification coordinate system SP of traditional Chinese medicine is constructed;

[0009] 4) Using the four-area and four-image basic classification rules of TCM pulse, the detected pulse spectrum is placed in the TCM basic pulse classification coordinate system SP, and compared and registered with the reference pulse spectrum to obtain the four basic pulse categories of deficiency, excess, delay and rapidity as well as the composite pulse spectrum and data range;

[0010] 5) comparing the detected four basic pulse conditions of deficiency, excess, delay and rapidity as well as the composite pulse condition spectrum and its data with the reference normal pulse spectrum and its data to obtain five basic characteristic parameters;

[0011] 6) Compare the five basic characteristic parameters of other pulse conditions detected with the characteristics of the benchmark normal pulse, and further obtain classification map data of 20 pulse conditions, including solid, slippery, stringy, weak, thin, subtle, slow, slow, astringent, knotted, rapid, fast, moving, firm, intermittent, hurried, scattered, floating, sinking, and weak, and establish 21 types of pulse classification data including the normal pulse.

[0012] In the step 1), the complete blood pressure and pulse wave data within a detection cycle are collected by a wrist sphygmomanometer, including a complete wrist pressure charging and discharging process during a blood pressure detection cycle, and the cycle duration T=10 to 60 seconds; the collected data is the "total press" pulse wave data in the traditional Chinese medicine pulse diagnosis finger method.

[0013] In the step 2), the systolic pressure P of the reference pulse spectrum and data is 110-130 mmHg, the diastolic pressure P1 is 70-90 mmHg, the pulse rate S is 70-90 beats / min, the spacing TT between adjacent pulse wave peaks is equal, the pulse wave main wave amplitude curve pressure H1 is 165-190 mmHg, and the pulse wave secondary wave amplitude pressure H2 is <15 mmHg.

[0014] In step 3), the origin of the basic pulse classification coordinate system SP of traditional Chinese medicine is (80, 120), which represents the point values ​​of normal pulse rate and systolic pressure; wherein the S-axis data unit is beats / minute, and the P-axis data unit is mmHg.

[0015] In the step 4), the basic classification rule of the four-area and four-image pulse of traditional Chinese medicine is as follows: under the basic pulse classification coordinate system SP of traditional Chinese medicine, with reference to the first to fourth quadrants of the plane coordinate system XY in the field of mathematics, the basic pulse classification coordinate system SP of traditional Chinese medicine is divided into four quadrants; in the basic pulse classification coordinate system SP of traditional Chinese medicine, the abscissa axis S and the ordinate P are used as baselines, respectively; the area above the abscissa axis S exceeding the systolic pressure P=130 mmHg is used as the real pulse area, the area below the abscissa axis S below the systolic pressure P=110 mmHg is used as the virtual pulse area, and the ordinate axis S is used as the virtual pulse area. The area on the right side of P where the pulse rate exceeds S=90 times / min is taken as the rapid pulse area, and the area on the left side of the vertical axis P where the pulse rate is less than S=70 times / min is taken as the slow pulse area; the detected pulse pattern graph and its data are compared and aligned with the data in the four areas and four images in the basic pulse classification coordinate system SP of traditional Chinese medicine to obtain the pulse pattern graph and data of the solid pulse type, the pulse pattern graph and data of the weak pulse type, the pulse pattern graph and data of the rapid pulse type and the pulse pattern graph and data of the slow pulse type; at the same time, in the first to fourth quadrants, the overlapping parts between the solid pulse area, the weak pulse area, the rapid pulse area and the slow pulse area are all composite areas.

[0016] In the step 5), the peak, trough and frequency of the amplitude are compared and screened from the four basic pulse classification maps and data of solid, weak, rapid and slow pulses with the reference pulse map and data to obtain five basic characteristic parameters, including: systolic pressure P, in mmHg; pulse rate S, in beats / min; pulse wave main wave amplitude curve pressure H1, in mmHg; pulse wave secondary wave amplitude pressure H2, in mmHg; and the distance TT between adjacent pulse wave peaks, in millimeters (mm).

[0017] The 21 kinds of pulse images and data in step 6) include, in addition to one pulse image of flat pulse, the following pulse images: 12 pulse images, including solid, slippery and stringy pulse images in the solid pulse area belonging to the basic pulse classification coordinate system SP of traditional Chinese medicine, empty, thin and subtle pulse images in the weak pulse area, slow, slow, astringent and knotted pulse images in the slow pulse area, and rapid and fast pulse images in the rapid pulse area; 1 arterial pulse image in the composite pulse area of ​​the first quadrant, 1 firm pulse image in the composite pulse area of ​​the second quadrant, 1 substitute pulse image in the composite pulse area of ​​the third quadrant, and 1 scattered pulse image in the composite pulse area of ​​the fourth quadrant; and 4 pulse images, including floating, sinking, weak and hurried pulse images, which are classified by the pulse wave main wave amplitude curve pressure H1 and the adjacent pulse wave peak spacing TT among the 5 basic characteristic parameters.

[0018] The basic characteristic parameters for generating the real pulse image are: P = 131-135 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT spacing;

[0019] The basic characteristic parameters for generating the Huamai pulse image are: P = 125-135 mmHg, S = 70-90 beats / min, H1>190 mmHg, H2<15 mmHg, and equal TT intervals;

[0020] The basic characteristic parameters for generating the string pulse image are: P>135mmHg, S=70-90 beats / min, H1=165-190mmHg, H2<15mmHg, and equal TT intervals;

[0021] The basic characteristic parameters for generating a virtual pulse image are: P = 80-109 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT spacing;

[0022] The basic characteristic parameters for generating a fine pulse pulse chart are: P = 80-109 mmHg, S = 70-90 beats / min, H1>190 mmHg, H2<15 mmHg, and equal TT spacing;

[0023] The basic characteristic parameters for generating micropulse pulse image are: P < 80 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals;

[0024] The basic characteristic parameters for generating a slow pulse pulse graph are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals;

[0025] The basic characteristic parameters for generating bradycardia pulse image are: P = 110-130 mmHg, S = 60-69 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals;

[0026] The basic characteristic parameters for generating the wiry pulse image are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 > 15 mmHg, and equal TT intervals;

[0027] The basic characteristic parameters for generating knot pulse image are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, TT intervals are not equal;

[0028] The basic characteristic parameters for generating the pulse rate pulse image are: P = 110 ~ 130mmHg, S = 91 ~ 120 times / min, H1 = 165 ~ 190mmHg, H2 < 15mmHg, TT interval is equal;

[0029] The basic characteristic parameters for generating a rapid pulse pulse chart are: P = 110-130 mmHg, S > 120 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals;

[0030] The basic characteristic parameters for generating arterial pulse graphs are: P>135mmHg, S=91-120 beats / min, H1=165-190mmHg, H2<15mmHg, and equal TT intervals;

[0031] The basic characteristic parameters for generating the pulse image are: P>135mmHg, S<75 beats / min, H1<165mmHg, H2<15mmHg, and equal TT intervals;

[0032] The basic characteristic parameters of the pulse image generation are: P = 90 ~ 109mmHg, S < 75 times / min, H1 = 165 ~ 190mmHg, H2 < 15mmHg, TT intervals are not equal;

[0033] The basic characteristic parameters for generating the stimuli pulse graph are: P = 110-130 mmHg, S = 91-120 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and TT intervals are not equal;

[0034] The basic characteristic parameters for generating scattered pulse images are: P < 80 mmHg, S > 95 beats / min, H1 > 170 mmHg, H2 < 15 mmHg, and TT intervals are not equal;

[0035] The basic characteristic parameters for generating floating pulse image are: P = 100-120 mmHg, S = 70-90 beats / min, H1>200 mmHg, H2<15 mmHg, TT intervals are equal;

[0036] The basic characteristic parameters for generating the deep pulse pulse image are: P = 110-130 mmHg, S = 70-90 beats / min, H1 < 165 mm, H2 < 15 mmHg, and equal TT spacing;

[0037] The basic characteristic parameters for generating a weak pulse image are: P = 80-109 mmHg, S = 70-90 times / min, H1 < 165 mm, H2 < 15 mmHg, and equal TT spacing.

[0038] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the method for generating a traditional Chinese medicine pulse spectrum based on wrist blood pressure monitor detection data are implemented.

[0039] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for generating a traditional Chinese medicine pulse spectrum based on wrist sphygmomanometer detection data are implemented.

[0040] The present invention has the following beneficial effects and advantages:

[0041] 1. The method of the present invention establishes a recognition model for more detailed classification of various types of pulse conditions, and finally obtains 21 types of pulse condition maps and data, which can improve the current teaching method of simple abstract text description in traditional Chinese medicine pulse diagnosis, and give the pulse condition standard, unified and objective maps and data, while providing a reference basis for the pulse diagnosis training of junior doctors.

[0042] 2. The method of the present invention can generate pulse image maps on a mobile device (such as a mobile phone). In the specific teaching process, students can more deeply understand the teacher's description and explanation of the pulse through the visual differences between the pulse image maps, thereby combining teaching with practice. It is not only suitable for teaching in classrooms or laboratories, but also suitable for clinical learning and training. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A flow chart of a method for generating a pulse spectrum of traditional Chinese medicine based on detection data of a wrist sphygmomanometer according to the present invention;

[0044] Figure 2 The reference pulse spectrum involved in the method of the present invention;

[0045] Figure 3 It is the basic pulse classification coordinate system of traditional Chinese medicine in the method of the present invention;

[0046] Figure 4 A schematic diagram of the basic classification rules of the four-area and four-image pulse condition of traditional Chinese medicine involved in the method of the present invention;

[0047] Figure 5 It is a schematic diagram of a system for generating a pulse pattern diagram of traditional Chinese medicine of the present invention;

[0048] Figure 6 A topological diagram of a Chinese medicine pulse spectrum generation system of the present invention;

[0049] Figure 7 A pulse atlas collected and generated by the method of the present invention;

[0050] Figures 8 to 27 The pulse patterns of solid, slippery, stringy, weak, fine, subtle, slow, slow, astringent, knotted, rapid, fast, moving, firm, alternating, rapid, scattered, floating, sinking and weak are respectively collected and generated by the method of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are only used to explain the present application and are not used to limit the present invention.

[0052] like Figure 1 As shown, the present invention provides a method for generating and analyzing a TCM pulse spectrum based on standard wrist sphygmomanometer detection data, comprising the following steps:

[0053] 1) Collecting complete blood pressure and pulse wave data within a detection cycle through a wrist sphygmomanometer, extracting continuous data sequences of blood pressure value, pulse rate value, pulse rhythm value, wristband pressure value and amplitude pressure value, and drawing a two-dimensional broken line motion curve as a pulse spectrum;

[0054] 2) Taking the standard normal blood pressure data and the standard normal pulse data as the benchmark, obtaining the benchmark pulse spectrum and data;

[0055] 3) Using the reference pulse spectrum and data as dots, pulse rate S as the horizontal axis, and blood pressure P as the vertical axis, a basic pulse classification coordinate system SP of traditional Chinese medicine is constructed;

[0056] 4) Using the four-area and four-image basic classification rules of TCM pulse, the detected pulse spectrum is placed in the TCM basic pulse classification coordinate system SP, and compared and registered with the reference pulse spectrum to obtain the four basic pulse categories of deficiency, excess, delay and rapidity as well as the composite pulse spectrum and data range;

[0057] 5) comparing the detected four basic pulse conditions of deficiency, excess, delay and rapidity as well as the composite pulse condition spectrum and its data with the reference normal pulse spectrum and its data to obtain five basic characteristic parameters;

[0058] 6) Compare the five basic characteristic parameters of other pulse conditions detected with the characteristics of the benchmark normal pulse, and further obtain classification map data of 20 pulse conditions, including solid, slippery, stringy, weak, thin, subtle, slow, slow, astringent, knotted, rapid, fast, moving, firm, intermittent, hurried, scattered, floating, sinking, and weak, and establish 21 types of pulse classification data including the normal pulse.

[0059] In step 1), in said step 1), complete blood pressure and pulse wave data within a detection cycle are collected by a wrist sphygmomanometer, including a complete wrist pressure charging and discharging process during a blood pressure detection cycle, and the cycle duration T=10 to 60 seconds; the collected data is the "total press" pulse wave data in the traditional Chinese medicine pulse diagnosis finger method.

[0060] The pulse wave data of the "total pressing" in the pulse diagnosis finger method of traditional Chinese medicine is the pulse wave data of the "undivided pulse method" of traditional Chinese medicine. This graph contains all the pulse wave curves in a blood pressure detection cycle, which lasts for 60 seconds.

[0061] In step 2), the description of TCM pulse in the ninth edition of "Diagnostics" and "Diagnostics of Traditional Chinese Medicine" textbooks is comprehensively referred to to determine that in step 2), the systolic pressure P of the benchmark pulse spectrum and data is 110-130 mmHg, the diastolic pressure P1 is 70-90 mmHg, the pulse rate S is 70-90 beats / min, the spacing TT between adjacent pulse wave peaks is equal, the pulse wave main wave amplitude curve pressure H1 is 165-190 mmHg, and the pulse wave secondary wave amplitude pressure H2 is <15 mmHg. The benchmark pulse spectrum is as follows Figure 2 shown.

[0062] Step 3) Create a Figure 3 The basic TCM pulse classification coordinate system SP shown has its origin at (80, 120), representing the point values ​​of normal pulse rate and systolic blood pressure; wherein the S-axis data unit is beats / minute, and the P-axis data unit is mmHg.

[0063] In the step 4), the basic classification rule of the four-area and four-image pulse of traditional Chinese medicine is as follows: under the basic pulse classification coordinate system SP of traditional Chinese medicine, the basic pulse classification coordinate system SP of traditional Chinese medicine is divided into four quadrants with reference to the first to fourth quadrants of the plane coordinate system XY in the field of mathematics; in the basic pulse classification coordinate system SP of traditional Chinese medicine, the abscissa axis S and the ordinate P are used as baselines, respectively; the area above the abscissa axis S exceeding the systolic pressure P=130 mmHg is used as the real pulse area, the area below the abscissa axis S below the systolic pressure P=110 mmHg is used as the virtual pulse area, and the ordinate axis P is used as the virtual pulse area. The area on the right side where the pulse rate exceeds S=90 times / min is taken as the rapid pulse area, and the area on the left side of the ordinate axis P where the pulse rate is less than S=70 times / min is taken as the slow pulse area; the detected pulse spectrum and data are compared and registered with the data in the four areas and four images in the basic pulse classification coordinate system SP of traditional Chinese medicine to obtain the pulse spectrum and data of the solid pulse type, the pulse spectrum and data of the weak pulse type, the pulse spectrum and data of the rapid pulse type, and the pulse spectrum and data of the slow pulse type; at the same time, in the first to fourth quadrants, the overlapping parts between the solid pulse area, the weak pulse area, the rapid pulse area, and the slow pulse area are all composite areas. The composite pulse types include rapid pulse and solid pulse, slow pulse and solid pulse, slow pulse and weak pulse, and rapid pulse and weak pulse. Figure 4 shown.

[0064] In the step 5), the peak, trough and frequency of the amplitude are compared and screened from the four basic pulse classification maps and data of solid, weak, rapid and slow pulses with the reference pulse map and data to obtain five basic characteristic parameters, including: systolic pressure P, in mmHg; pulse rate S, in beats / min; pulse wave main wave amplitude curve pressure H1, in mmHg; pulse wave secondary wave amplitude pressure H2, in mmHg; and the distance TT between adjacent pulse wave peaks, in millimeters (mm).

[0065] This step determines the basic characteristic parameters used to identify each pulse, that is, 21 pulse conditions are distinguished by comparing 5 basic characteristic parameters.

[0066] The 21 kinds of pulse atlases and data in the step 6) include, in addition to the pulse of flat pulse, 1 pulse: data belonging to the solid, slippery and stringy pulse area of ​​the basic pulse classification coordinate system SP of traditional Chinese medicine, data belonging to the virtual, thin and subtle pulse area, data belonging to the slow, slow, astringent and knotted pulse area, data belonging to the number and fast pulse area, a total of 12 pulses; data belonging to the arterial pulse area of ​​the composite pulse area of ​​the first quadrant, data belonging to the firm pulse area of ​​the composite pulse area of ​​the second quadrant, data belonging to the substitute pulse area of ​​the composite pulse area of ​​the third quadrant, data belonging to the scattered pulse area of ​​the composite pulse area of ​​the fourth quadrant; 4 pulses of floating, sinking, weak and rapid classified by the pulse wave main wave amplitude curve pressure H1 and the adjacent pulse wave peak spacing TT in the 5 basic characteristic parameters, as follows:

[0067] The basic characteristic parameters for generating a solid pulse image are: P = 131-135 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; the difference between a solid pulse and a flat pulse is P = 130-135 mmHg;

[0068] The basic characteristic parameters for generating the Huamai pulse image are: P = 125-135 mmHg, S = 70-90 beats / min, H1>190 mmHg, H2<15 mmHg, and equal TT intervals;

[0069] The difference between slippery pulse and flat pulse is that it has two characteristics: H1>190mm and P=125-135mmHg.

[0070] The basic characteristic parameters for generating a string pulse image are: P>135mmHg, S=70-90 beats / min, H1=165-190mmHg, H2<15mmHg, and equal TT intervals; the difference between a string pulse and a flat pulse is P>135mmHg;

[0071] The basic characteristic parameters for generating a weak pulse image are: P = 80-109 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; the difference between a weak pulse and a normal pulse is P = 80-109 mmHg;

[0072] The basic characteristic parameters for generating a fine pulse are: P = 80-109 mmHg, S = 70-90 beats / min, H1>190 mmHg, H2<15 mmHg, and equal TT intervals; the difference between a fine pulse and a flat pulse is that a fine pulse has both the characteristics of P = 80-109 mmHg and H1>190 mm.

[0073] The basic characteristic parameters for generating a micro-pulse pulse image are: P < 80 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; the difference between a micro-pulse and a normal pulse is P < 80 mmHg;

[0074] The basic characteristic parameters for generating a slow pulse image are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; the difference between a slow pulse and a normal pulse is S < 60 beats / min;

[0075] The basic characteristic parameters for generating a slow pulse image are: P = 110-130 mmHg, S = 60-69 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; the difference between a slow pulse and a normal pulse is S = 60-69 beats / min;

[0076] The basic characteristic parameters for generating the pulse image of the wiry pulse are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 > 15 mmHg, and equal TT intervals; the difference between the wiry pulse and the normal pulse is that the wiry pulse has both the characteristics of S < 60 beats / min and H2 > 15 mm;

[0077] The basic characteristic parameters for generating knot pulse image are: P = 110 ~ 130mmHg, S < 60 times / min, H1 = 165 ~ 190mmHg, H2 < 15mmHg, TT interval is not equal; the difference between knot pulse and flat pulse is that it has two characteristics of S < 60 times / min and TT interval is not equal;

[0078] The basic characteristic parameters for generating a rapid pulse pulse image are: P = 110 ~ 130 mmHg, S = 91 ~ 120 times / min, H1 = 165 ~ 190 mmHg, H2 < 15 mmHg, TT interval is equal; the difference between the rapid pulse and the normal pulse is S = 91 ~ 120 times / min;

[0079] The basic characteristic parameters for generating a rapid pulse image are: P = 110-130 mmHg, S>120 beats / min, H1=165-190 mmHg, H2<15 mmHg, and equal TT intervals; the difference between a rapid pulse and a normal pulse is S>120 beats / min;

[0080] The basic characteristic parameters for generating arterial pulse graphs are: P>135mmHg, S=91-120 beats / min, H1=165-190mmHg, H2<15mmHg, and equal TT intervals; the difference between arterial and flat pulses is that they have three characteristics: S=91-120 beats / min, P>135mmHg, and H1=165-190mm;

[0081] The basic characteristic parameters for generating a firm pulse are: P>135mmHg, S<75 beats / min, H1<165mmHg, H2<15mmHg, and equal TT intervals; the difference between a firm pulse and a flat pulse is that a firm pulse has two characteristics: H1<165mm and P>145mmHg.

[0082] The basic characteristic parameters for generating the pulse image of the substitute pulse are: P = 90 ~ 109mmHg, S < 75 times / min, H1 = 165 ~ 190mmHg, H2 < 15mmHg, TT intervals are not equal; the difference between the substitute pulse and the normal pulse is that the substitute pulse has the three characteristics of pulse rate S < 75 times / min, TT intervals are not equal, and P = 90 ~ 109mmHg;

[0083] The basic characteristic parameters for generating the pulse image of the accelerated pulse are: P = 110 ~ 130mmHg, S = 91 ~ 120 times / min, H1 = 165 ~ 190mmHg, H2 < 15mmHg, TT intervals are not equal; the difference between the accelerated pulse and the normal pulse is that the accelerated pulse has both the characteristics of S = 91 ~ 120 times / min and TT intervals are not equal;

[0084] The basic characteristic parameters for generating scattered pulse are: P<80mmHg, S>95 times / min, H1>170mmHg, H2<15mmHg, TT interval is not equal; the difference between scattered pulse and normal pulse is that scattered pulse has four characteristics: H1>170mm, P<80mmHg, S>95 times / min, TT interval is not equal;

[0085] The basic characteristic parameters for generating a floating pulse are: P = 100-120 mmHg, S = 70-90 beats / min, H1>200 mmHg, H2<15 mmHg, and equal TT intervals; the difference between a floating pulse and a flat pulse is that a floating pulse has both the characteristics of H1>200 mm and P = 100-120 mmHg;

[0086] The basic characteristic parameters for generating the deep pulse pulse image are: P = 110-130 mmHg, S = 70-90 beats / min, H1 < 165 mm, H2 < 15 mmHg, and equal TT intervals; the difference between the deep pulse and the flat pulse is H1 < 165 mm;

[0087] The basic characteristic parameters for generating a weak pulse image are: P=80~109mmHg, S=70~90 times / min, H1<165mm, H2<15mmHg, and equal TT spacing; the difference between a weak pulse and a normal pulse is that a weak pulse has both the characteristics of H1<165mm and P=80~109mmHg.

[0088] Please refer to Table 1 for the basic characteristic parameter data of the above 21 pulse conditions.

[0089] Table 1

[0090] Serial number Pulse name P (mmHg) S(times / min) H1(mmHg) P1(mmHg) H2(mmHg) TT 1 flat 110～130 70～90 165～190 70～90 ＜15 equal 2 Reality 131～135 70～90 165～190 —— ＜15 equal 3 slip 125～135 70～90 ＞190 —— ＜15 equal 4 string ＞135 70～90 165～190 —— ＜15 equal 5 Virtual 80～109 70～90 165～190 —— ＜15 equal 6 thin 80～109 70～90 ＞190 —— ＜15 equal 7 micro ＜80 70～90 165～190 —— ＜15 equal 8 Late 110～130 ＜60 165～190 —— ＜15 equal 9 slow 110～130 60～69 165～190 —— ＜15 equal 10 astringent 110～130 ＜60 165～190 —— ＞15 equal 11 Knot 110～130 ＜60 165～190 —— ＜15 No wait 12 number 110～130 91～120 165～190 —— ＜15 equal 13 disease 110～130 ＞120 165～190 —— ＜15 equal 14 move ＞135 91～120 165～190 —— ＜15 equal 15 prison ＞135 ＜75 ＜165 —— ＜15 equal 16 generation 90～109 ＜75 165～190 —— ＜15 No wait 17 promote 110～130 91～120 165～190 —— ＜15 No wait 18 Scatter ＜80 ＞95 ＞170 —— ＜15 No wait 19 float 100～120 70～90 ＞200 —— ＜15 equal 20 Shen 110～130 70～90 ＜165 —— ＜15 equal 21 weak 80～109 70～90 ＜165 —— ＜15 equal

[0091] like Figure 5 As shown, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method for generating a traditional Chinese medicine pulse spectrum when executing the program.

[0092] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a method for generating a traditional Chinese medicine pulse spectrum based on detection data of a wrist sphygmomanometer is implemented.

[0093] like Figure 6 As shown, the executor of the method of the present invention is a processor, which can be a local processor or a cloud processor. The local processor can be a smart phone, a tablet computer, a computer, etc., and this is not specifically limited in the embodiments of the present invention.

[0094] In this embodiment, the wrist sphygmomanometer can be a wrist sphygmomanometer with the non-transitory computer-readable storage medium, on which a computer program for generating a Chinese medicine pulse spectrum is stored. When the computer program is loaded into the wrist sphygmomanometer, the wrist sphygmomanometer obtains pulse wave data during the detection process, and executes the computer program for generating a Chinese medicine pulse spectrum, generates a spectrum graphic with a pre-designed template style, divides the measured data into corresponding spectra according to the data range in the table and displays them at the specified position of the graphic; the wrist sphygmomanometer can also be a Bluetooth wrist sphygmomanometer, which transmits data to the mobile phone terminal by wireless means, or it can be a wrist sphygmomanometer with a physical network communication interface, which transmits data to the mobile phone terminal by wired means, and the mobile phone terminal uploads the data to the server terminal for data analysis, and then the server transmits the analysis results back to the mobile phone terminal for data and graphic display. The mobile phone terminal can communicate wirelessly with the wrist sphygmomanometer via Bluetooth, and in addition to receiving data from the wrist sphygmomanometer, it can also send instructions to start or shut down the wrist sphygmomanometer.

[0095] This example provides 21 pulse patterns measured by this method, and further shows the obvious visual morphological differences between different pulse patterns.

[0096] like Fig.26 As shown in the figure, the pulse spectrum data of a 34-year-old female patient is as follows: P is 119mmHg, S is 84 times / min, H1=150mmHg, H2<15mmHg, and TT intervals are equal. It can be judged from the above table that the above data should be a deep pulse. The data detected by the wrist sphygmomanometer is transmitted to the mobile phone of the TCM student via Bluetooth wireless to be made into a graph for display. In the figure, the left ordinate is the wristband air pressure value and amplitude pressure value, unit: mmHg (millimeters of mercury), the right ordinate is: pulse wave amplitude voltage, unit: mv (millivolt), and the horizontal axis is the number of effective sampling points within 1 minute, unit: pieces.

[0097] Figures 7 to 27 These are screenshots of mobile phone terminals of pulse patterns of flat, solid, smooth, stringy, weak, fine, subtle, slow, slow, astringent, knotted, rapid, fast, moving, firm, alternating, hurried, scattered, floating, sinking and weak, which are collected and generated by the method of the present invention. In the specific teaching process, students can understand the teacher's description and explanation of the pulse more deeply through the visual differences between the pulse patterns, so that teaching is combined with practice. The pulse patterns are not only suitable for teaching in classrooms or laboratories, but also suitable for daily learning and training.

Claims

1. A method for generating a Chinese medicine pulse pattern based on wrist sphygmomanometer detection data, characterized in that The following steps are involved: 1) Collect complete blood pressure and pulse wave data within a detection cycle through a wrist sphygmomanometer, extract continuous data sequences of blood pressure value, pulse rate value, pulse rhythm value, wristband pressure value and amplitude pressure value, and draw a two-dimensional broken line motion curve as a pulse spectrum; 2) Using the standard normal blood pressure data and the standard normal pulse data as the benchmark, obtain the benchmark pulse spectrum and data; 3) Using the reference pulse spectrum and data as dots, pulse rate S as the horizontal axis, and blood pressure P as the vertical axis, construct the basic pulse classification coordinate system SP of traditional Chinese medicine; 4) Using the four-zone and four-image basic classification rules of TCM pulse, the detected pulse spectrum is placed in the TCM basic pulse classification coordinate system SP, and compared and registered with the reference pulse spectrum to obtain the four basic pulse categories of deficiency, excess, delay and rapidity, as well as the composite pulse spectrum and data range; 5) Compare the detected four basic pulse conditions, namely, deficiency, excess, delay and rapidity, as well as the composite pulse condition spectrum and its data with the reference normal pulse spectrum and its data to obtain five basic characteristic parameters; 6) Compare the five basic characteristic parameters of other pulse conditions detected with the characteristics of the benchmark normal pulse, and further obtain the classification map data of 20 pulse conditions, including solid, slippery, stringy, weak, thin, subtle, slow, slow, astringent, knotted, rapid, fast, moving, firm, intermittent, hurried, scattered, floating, sinking, and weak, and establish 21 pulse classification data including the normal pulse; In the step 4), the basic classification rule of the four-zone and four-image pulse of traditional Chinese medicine is as follows: under the basic pulse classification coordinate system SP of traditional Chinese medicine, with reference to the first to fourth quadrants of the plane coordinate system XY in the field of mathematics, the basic pulse classification coordinate system SP of traditional Chinese medicine is divided into four quadrants; in the basic pulse classification coordinate system SP of traditional Chinese medicine, the horizontal axis S and the vertical axis P are used as baselines, respectively; the area above the horizontal axis S exceeding the systolic pressure P = 130 mmHg is used as the real pulse area, the area below the horizontal axis S below the systolic pressure P = 110 mmHg is used as the virtual pulse area, the area on the right side of the vertical axis P exceeding the pulse rate S = 90 beats / min is used as the rapid pulse area, and the area on the left side of the vertical axis P less than the pulse rate S = The area with a pulse rate of 70 beats / minute is taken as the slow pulse area; the detected pulse pattern and its data are compared and registered with the data of the four areas and four images in the basic pulse classification coordinate system SP of traditional Chinese medicine to obtain the pulse pattern and data of the solid pulse type, the pulse pattern and data of the weak pulse type, the pulse pattern and data of the rapid pulse type and the pulse pattern and data of the slow pulse type; at the same time, in the first to fourth quadrants, the overlapping parts between the solid pulse area, the weak pulse area, the rapid pulse area and the slow pulse area are all composite areas.

2. The method for generating a TCM pulse pattern based on wrist sphygmomanometer detection data according to claim 1, characterized in that: In step 1), the complete blood pressure and pulse wave data within a detection cycle are collected by a wrist sphygmomanometer, including a complete wrist pressure charging and discharging process during a blood pressure detection cycle, and the cycle duration T = 10 to 60 seconds; the collected data is the "total press" pulse wave data in the traditional Chinese medicine pulse diagnosis finger method.

3. The method for generating a TCM pulse pattern based on wrist sphygmomanometer detection data according to claim 1, characterized in that: In the step 2), the systolic pressure P of the reference pulse spectrum and data is 110-130 mmHg, the diastolic pressure P1 is 70-90 mmHg, the pulse rate S is 70-90 beats / min, the intervals TT between adjacent pulse wave peaks are equal, the pulse wave main wave amplitude curve pressure H1 is 165-190 mmHg, and the pulse wave secondary wave amplitude pressure H2 is <15 mmHg.

4. The method for generating a TCM pulse pattern based on wrist sphygmomanometer detection data according to claim 1, characterized in that: In step 3), the origin of the TCM basic pulse classification coordinate system SP is (80, 120), which represents the point value of normal pulse rate and systolic pressure; The unit of S-axis data is times / minute, and the unit of P-axis data is mmHg.

5. The method for generating a TCM pulse pattern based on wrist sphygmomanometer detection data according to claim 1, characterized in that: In the step 5), the peak, trough and frequency of the amplitude are compared and screened from the four basic pulse classification maps and data of solid, weak, rapid and slow pulses with the reference pulse map and data to obtain five basic characteristic parameters, including: systolic pressure P, in mmHg; pulse rate S, in beats / min; pulse wave main wave amplitude curve pressure H1, in mmHg; pulse wave secondary wave amplitude pressure H2, in mmHg; and the distance between adjacent pulse wave peaks TT, in millimeters (mm).

6. The method for generating a TCM pulse spectrum based on wrist sphygmomanometer detection data according to claim 1, characterized in that: The 21 kinds of pulse images and data in step 6) include, in addition to one pulse image of flat pulse, the following pulse images: 12 pulse images, including solid, slippery and stringy pulse images belonging to the solid pulse area of ​​the basic pulse classification coordinate system SP of traditional Chinese medicine, empty, thin and subtle pulse images belonging to the weak pulse area, slow, slow, astringent and knotted pulse images belonging to the slow pulse area, and rapid and fast pulse images belonging to the rapid pulse area; 1 arterial pulse image belonging to the composite pulse area of ​​the first quadrant, 1 firm pulse image belonging to the composite pulse area of ​​the second quadrant, 1 substitute pulse image belonging to the composite pulse area of ​​the third quadrant, and 1 scattered pulse image belonging to the composite pulse area of ​​the fourth quadrant; and 4 pulse images, including floating, sinking, weak and hurried pulse images, classified by the pulse wave main wave amplitude curve pressure H1 and the distance between adjacent pulse wave peaks TT among the 5 basic characteristic parameters.

7. The method for generating a TCM pulse pattern based on wrist sphygmomanometer detection data according to claim 6, characterized in that: The basic characteristic parameters for generating the real pulse image are: P = 131-135 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; The basic characteristic parameters for generating the Huamai pulse image are: P = 125~135mmHg, S = 70~90 times / min, H1>190mmHg, H2<15 mmHg, TT interval is equal; The basic characteristic parameters for generating the string pulse image are: P>135mmHg, S=70~90 times / min, H1=165~190mmHg, H2<15 mmHg, and equal TT intervals; The basic characteristic parameters for generating a virtual pulse image are: P = 80-109 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT spacing; The basic characteristic parameters for generating a fine pulse pattern are: P = 80 ~ 109 mmHg, S = 70 ~ 90 times / min, H1 > 190 mmHg, H2 < 15 mmHg, TT interval is equal; The basic characteristic parameters for generating micropulse pulse graphs are: P < 80 mmHg, S = 70-90 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT spacing; The basic characteristic parameters for generating a slow pulse graph are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; The basic characteristic parameters for generating bradycardia pulse graphs are: P = 110-130 mmHg, S = 60-69 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; The basic characteristic parameters for generating the pulse image of the wiry pulse are: P = 110-130 mmHg, S < 60 beats / min, H1 = 165-190 mmHg, H2 > 15 mmHg, and equal TT intervals; The basic characteristic parameters for generating knot pulse image are: P = 110 ~ 130 mmHg, S < 60 beats / min, H1 = 165 ~ 190 mmHg, H2 < 15 mmHg, TT intervals are not equal; The basic characteristic parameters for generating the pulse rate pulse image are: P = 110 ~ 130 mmHg, S = 91 ~ 120 beats / min, H1 = 165 ~ 190 mmHg, H2 < 15 mmHg, TT interval is equal; The basic characteristic parameters for generating a rapid pulse pulse chart are: P = 110-130 mmHg, S > 120 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, and equal TT intervals; The basic characteristic parameters for generating arterial pulse graphs are: P>135 mmHg, S=91~120 beats / min, H1=165~190 mmHg, H2<15 mmHg, and equal TT intervals; The basic characteristic parameters for generating the pulse image are: P>135mmHg, S<75 beats / min, H1<165mmHg, H2<15mmHg, and equal TT intervals; The basic characteristic parameters of the pulse image generated are: P = 90 ~ 109 mmHg, S < 75 times / min, H1 = 165 ~ 190 mmHg, H2 < 15 mmHg, TT intervals are not equal; The basic characteristic parameters for generating the stimuli pulse graph are: P = 110-130 mmHg, S = 91-120 beats / min, H1 = 165-190 mmHg, H2 < 15 mmHg, TT intervals are not equal; The basic characteristic parameters for generating scattered pulse images are: P < 80 mmHg, S > 95 beats / min, H1 > 170 mmHg, H2 < 15 mmHg, TT intervals are not equal; The basic characteristic parameters for generating floating pulse image are: P = 100-120 mmHg, S = 70-90 beats / min, H1> 200 mmHg, H2 < 15 mmHg, TT interval is equal; The basic characteristic parameters for generating the deep pulse pulse image are: P = 110-130 mmHg, S = 70-90 beats / min, H1 < 165 mm, H2 < 15 mmHg, and equal TT spacing; The basic characteristic parameters for generating a weak pulse image are: P=80~109mmHg, S=70~90 times / min, H1<165mm, H2<15 mmHg, and equal TT spacing.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method for generating a traditional Chinese medicine pulse pattern based on wrist blood pressure monitor detection data as described in any one of claims 1 to 7 are implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for generating a traditional Chinese medicine pulse pattern based on wrist sphygmomanometer detection data as described in any one of claims 1 to 7 are implemented.

Images