An electrocardiogram evaluation method based on user data

Abstract

The present invention discloses an electrocardiogram evaluation method based on user data, which quantifies and scores the health index of electrocardiogram data in the mode of remote electrocardiogram monitoring, and forms an electrocardiogram health score curve according to the obtained index, enabling primary medical service institutions and household users to simply and clearly understand the electrocardiogram health status of patients or themselves, and understand the evolution trend of the health status of the heart of patients or themselves according to the electrocardiogram health score curve, so as to achieve early detection and early treatment of cardiovascular diseases at the grass-roots level and in families, and effectively prevent and control the occurrence and development of diseases.

Description

Technical Field

[0001] The present invention relates to the field of electrocardiogram result evaluation, and particularly to an electrocardiogram evaluation method based on user data. Background Art

[0002] Electrocardiogram is a routine examination item for the diagnosis of cardiovascular diseases. In the past century of historical development, a complete theoretical system has been formed, providing an important basis for the diagnosis and treatment of cardiovascular diseases. The progress of technology has promoted the development of medical devices and further accelerated the maturity of remote electrocardiogram monitoring technology. Applying advanced computer technology and network communication technology to electrocardiogram monitoring technology is an inevitable development trend of "Internet + medical care".

[0003] Remote electrocardiogram monitoring can realize the long-term preservation and comparison of user electrocardiogram data before and after, solving the problems of short preservation time and inability to access by doctors in the traditional electrocardiogram diagnosis mode. At the same time, it breaks through the limitations of conditions such as examination time and location, and can serve grass-roots medical service institutions and household users in real time. Remote electrocardiogram monitoring can truly meet the urgent needs of early critical warning, diagnosis, curative effect evaluation and rehabilitation monitoring of cardiovascular diseases.

[0004] However, due to the strong professionalism of electrocardiogram, and grass-roots medical service institutions and household users often lack relevant professional knowledge, they cannot understand the diagnostic content on the electrocardiogram report after receiving the remote consultation report. The current main contradiction is that when the electrocardiogram shows serious abnormalities, medical guidance and professional advice can usually be obtained in a timely manner through remote electrocardiogram consultation; while when the electrocardiogram shows certain abnormalities but does not reach the remote diagnosis risk warning index, professional medical advice and health guidance are generally not obtained. Grass-roots doctors and household users cannot understand the current and past electrocardiogram health scores and heart health status of users through these complex electrocardiogram waveforms and professional diagnostic terms, and thus cannot obtain effective medical guidance.

[0005] Therefore, it is crucial to develop a concise and quantifiable electrocardiogram scoring method for non-seriously abnormal electrocardiograms in remote electrocardiogram monitoring, so as to evaluate the heart health status. Summary of the Invention

[0006] The present invention aims to solve the problem that in the prior art, when there are serious abnormalities in the electrocardiogram (ECG), medical advice and professional suggestions can usually be obtained in a timely manner through remote ECG consultation. However, when there are certain abnormalities in the ECG but they do not reach the risk warning indicators for remote diagnosis, professional medical advice and health guidance are generally not obtained. Grassroots doctors and household users cannot understand the current and past ECG health scores and heart health conditions through these complex ECG waveforms and professional diagnostic terms, and thus cannot obtain effective medical guidance. A method for evaluating ECG based on user data is provided, which monitors the user's heart health condition through a dynamic scoring system and solves the above problems.

[0007] The present invention provides a method for evaluating an electrocardiogram based on user data,

[0008] including the following steps:

[0009] S1. The user collects an electrocardiogram through a client and uploads the electrocardiogram data to a server through the client;

[0010] S2. The judgment end obtains the electrocardiogram data from the server through a data center, and the judgment end makes a judgment based on the current electrocardiogram data and outputs an electrocardiogram diagnosis report;

[0011] S3. Preset an initial score S, calculate the output score output, and the formula is as follows:

[0012] Output = S - ∑Pi * Xi;

[0013] where P is the dynamic weight, X is the total deduction amount of each item, and i is the item number;

[0014] The calculation formula for the dynamic weight P is as follows:

[0015] Pi = αi + βi + γi + δi + εi;

[0016] where αi is the age index; βi is the gender; γi is the body mass index; δi is the history of cardiovascular diseases; εi is the physical sign;

[0017] The item number for the sinus rhythm and arrhythmia item is 1; the item number for the supraventricular arrhythmia item is 2; the item number for the supraventricular tachycardia item is 3; the item number for the ventricular arrhythmia item is 4; the item number for the atrioventricular conduction abnormality item is 5; the item number for the abnormal axis voltage item is 6; the item number for the cardiac chamber hypertrophy and dilation item is 7; the item number for the heart rate change item of the electrocardiogram data of users who upload data multiple times is 8; the item number for the ST segment / T wave / U wave change item is 9; the item number for other electrocardiogram abnormality items is 10;

[0018] When i = 1 to 5, 7, 10, εi > δi > αi > βi > γi; when i = 6, 8, 9, δi > εi > αi > γi > βi;

[0019] S4. Determine whether the user has previous electrocardiogram data. If so, compare the current electrocardiogram data with the previous electrocardiogram data to obtain the change status of the electrocardiogram and proceed to step S5; otherwise, directly proceed to step 5;

[0020] S5. Output the current output score output and the conclusion obtained by comparing the previous and current output scores output.

[0021] A method for evaluating electrocardiogram based on user data according to the present invention, as a preferred mode,

[0022] The total deduction score X1 for sinus rhythm and arrhythmia items is the sum of the following items: sinus tachycardia X11, sinus bradycardia X12, sinus arrhythmia X13, second-degree sinoatrial block X14, sinus arrest X15, sinus bradycardia with arrhythmia X16, and wandering rhythm within the sinoatrial node X17, where X15 ≥ X14 ≥ X11 = X12 = X16 ≥ X13 = X17;

[0023] The total deduction score X2 for supraventricular arrhythmia items is the sum of the following items: atrial premature beat X21, atrial premature beat not conducted X22, atrial escape beat X23, atrial escape rhythm X24, accelerated atrial escape beat X25, accelerated atrial escape rhythm X26, junctional premature beat X27, junctional escape beat X28, junctional escape rhythm X29, where X24 = X29 ≥ X22 = X23 = X25 = X26 = X28 ≥ X21 = X27;

[0024] The total deduction score X3 for supraventricular tachycardia items is the sum of the following items: atrial fibrillation X31, atrial flutter X32, atrial tachycardia X33, multifocal atrial tachycardia X34, supraventricular tachycardia X35, where X31 = X32 = X34 = X35 ≥ X33;

[0025] The total deduction score X4 for ventricular arrhythmia items is the sum of the following items: ventricular premature beat X41, ventricular fusion wave X42, ventricular escape beat X43, ventricular escape rhythm X44, accelerated ventricular escape beat X45, accelerated ventricular escape rhythm X46, where X43 = X44 = X45 = X46 ≥ X41 = X42;

[0026] The total score deduction X5 for atrioventricular conduction abnormalities is the sum of the following items: short PR interval X51, first-degree atrioventricular block X52, second-degree type X7 atrioventricular block X53, second-degree type X7X7 atrioventricular block X54, 2:1 atrioventricular block X55, left anterior fascicular block X56, left posterior fascicular block X57, complete right bundle branch block X58, incomplete right bundle branch block X59, localized right bundle branch block X510, complete left bundle branch block X511, incomplete left bundle branch block X512, intraventricular block X513, right bundle branch block combined with left anterior fascicular block X514, right bundle branch block combined with left posterior fascicular block X515, ventricular preexcitation wave X516, where X54 = X55 = X511 = X514 ≥ X57 = X58 = X512 = X513 = X515 = X516 ≥ X53 = X56 = X59 ≥ X51 = X52 = X510;

[0027] The total score deduction X6 for electroaxis voltage abnormalities is the sum of the following items: left axis deviation X61, right axis deviation X62, indeterminate electroaxis X63, low voltage in limb leads X64, low voltage in precordial leads X65, global low voltage X66, where X66 ≥ X65 = X64 = X63 ≥ X62 = X61;

[0028] The total score deduction X7 for cardiac chamber hypertrophy and dilation is the sum of the following items: left ventricular high voltage X71, right ventricular high voltage X72, bilateral ventricular high voltage X73, widened P wave X74, tall and pointed P wave X75, widened and tall and pointed P wave X76, X72 = X73 = X76 ≥ X71 = X74 = X75;

[0029] The total score deduction X8 for the heart rate change item of the electrocardiogram data of users who upload data multiple times is the sum of the following items: increasing from 50 - 60 beats per minute to 80 beats per minute X81, increasing from 50 - 60 beats per minute to 90 beats per minute X82, increasing from 50 - 60 beats per minute to 100 beats per minute X83, increasing from 50 - 60 beats per minute to more than 100 beats per minute X84, where X84 ≥ X83 ≥ X81 = X82;

[0030] The total score deduction X9 for ST segment / T wave / U wave changes is the sum of the following items: ST segment elevation <0.05Mv is recorded as X91, ST segment depression <0.05mV is recorded as X92, ST segment elevation 0.05 - 0.10mV is recorded as X93, ST segment depression 0.05 - 0.10mV is recorded as X94, T wave flattening X95, T wave notch X96, T wave inversion <0.2mV is recorded as X97, tall T wave X98, QT interval prolongation X99, QTX3 interval prolongation X910, U wave enlargement <0.2mV is recorded as X911, QT interval shortening X912, where X94 = X910 = X99 ≥ X911 = X93 ≥ X97 = X98 ≥ X91 = X92 = X912 ≥ X95 = X96;

[0031] The total deduction score X10 for other electrocardiogram abnormality items is the sum of the following items: sinus capture X101, early repolarization X102, counterclockwise rotation X103, clockwise rotation X104, where X101 = X102 = X103 = X104.

[0032] In a preferred embodiment of the electrocardiogram evaluation method based on user data according to the present invention, the magnitudes of the deduction scores are as follows: X31 = X32 = X34 = X35 ≥ X33 = X94 = X910 = X99 ≥ X911 = X93 ≥ X43 = X44 = X45 = X46 = X54 = X55 = X511 = X514 = X97 = X98 ≥ X15 = X24 = X29 = X41 = X42 = X57 = X58 = X512 = X513 = X515 = X516 = X66 = X72 = X73 = X76 = X84 = X91 = X92 = X912 ≥ X14 = X22 = X23 = X25 = X26 = X28 = X53 = X56 = X59 = X65 = X64 = X63 = X71 = X74 = X75 = X83 = X95 = X96 ≥ X11 = X12 = X16 = X21 = X27 = X51 = X52 = X510 = X62 = X61 = X81 = X82 = X101 = X102 = X103 = X104 ≥ X13 = X17.

[0033] In a preferred embodiment of the electrocardiogram evaluation method based on user data according to the present invention, step S4 specifically includes:

[0034] S41. Determine whether there are at least three electrocardiogram data for this user. If so, draw an output score output curve according to the generated health score, calculate the coefficient of dispersion, and obtain the electrocardiogram stability degree of the user according to the magnitude of the coefficient of dispersion, then proceed to step S42; otherwise, proceed to step S43;

[0035] S42. Output the electrocardiogram stability degree of the user to the data to be output;

[0036] S43. Determine whether there is a previous output score output for the user. If so, proceed to step S44; otherwise, proceed to step S5;

[0037] S44. Subtract the previous mean value from the current output score output to obtain V1, and subtract the previous output score output from the current output score output to obtain V2;

[0038] S45. Set thresholds Q1, Q2, Q3, Q4, where 0 > Q1 > Q2 > Q3 > Q4;

[0039] S46. When either V1 is less than Q4 or V2 is less than Q3, output "It is recommended that the user visit the cardiology outpatient clinic recently"; when either V1 is greater than or equal to Q4 and less than Q2 or V2 is greater than or equal to Q3 and less than Q1, output "It is recommended that the user have a physical examination at the hospital at an appropriate time"; when V1 is greater than or equal to Q2 and V2 is greater than or equal to Q1, proceed to step S5.

[0040] The beneficial effects of the present invention are as follows:

[0041] (1) In the mode of remote electrocardiogram monitoring, this technical solution quantifies the electrocardiogram data into an electrocardiogram health index, and forms an electrocardiogram health score curve based on the obtained index, enabling grass-roots medical service institutions and household users to simply and clearly understand the electrocardiogram health status of patients or themselves, and understand the changes in the heart health status of patients or themselves according to the electrocardiogram health index curve, so as to achieve early detection and early treatment of cardiovascular diseases at the grass-roots level and in families, and effectively prevent and control the occurrence and development of diseases;

[0042] (2) This technical solution provides a scoring method for the electrocardiogram health index in the mode of remote electrocardiogram diagnosis, converts professional diagnostic terms into specific values, and calculates personalized electrocardiogram health scores according to different parameters such as the individual's age, medical history, symptoms, height, and weight, which is conducive to the judgment of the electrocardiogram health status by grass-roots medical staff and household users. For users who use it multiple times and monitor it for a long time, they can also understand the changes in the heart health status according to the electrocardiogram score curve. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of an electrocardiogram evaluation method based on user data. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0045] Embodiment 1

[0046] As Figure 1 shown, an electrocardiogram evaluation method based on user data includes the following steps:

[0047] S1. The user collects the electrocardiogram (ECG) through the client and uploads the ECG data to the server via the client. If it is the first collection, the user needs to fill in personal information before use, including: name, gender, age, symptoms, medical history, etc. If the user collects and uploads ECG data multiple times to the network center, the system will perform fusion calculation on the obtained ECG parameters to calculate the average value. There is an ECG scoring database set up in the server. The database is established as follows: by statistically analyzing the ECG data of the physical examination center in the past two decades, an ECG database is established. The data collected by the database usually requires that the same collection object has collected at least two or more ECGs, and the collection time interval is required to be more than 3 months. The total number of ECGs collected by an average collection object is required to exceed four.

[0048] S2. The doctor at the network center will obtain the ECG data through the doctor's terminal and can perform real-time processing through a computer, tablet or mobile phone. The doctor at the network center reads and interprets the obtained ECG data, writes an ECG diagnosis report, and determines the risk level of this ECG report.

[0049] S3. Preset an initial score S and calculate the output score output. The formula is as follows:

[0050] Output = S - ∑Pi * Xi;

[0051] Where P is the dynamic weight, X is the total deduction of each item, and i is the item number.

[0052] The calculation formula for the dynamic weight P is as follows:

[0053] Pi = αi + βi + γi + δi + εi;

[0054] Where αi is the age index; βi is the gender; γi is the body mass index; δi is the history of cardiovascular disease; εi is the physical sign.

[0055] The item numbers for sinus rhythm and arrhythmia items are 1; the item numbers for supraventricular arrhythmia items are 2; the item numbers for supraventricular tachycardia items are 3; the item numbers for ventricular arrhythmia items are 4; the item numbers for atrioventricular conduction abnormalities items are 5; the item numbers for abnormal axis voltage items are 6; the item numbers for cardiac chamber hypertrophy and dilation items are 7; the item numbers for the heart rate change of the ECG data of users who upload data multiple times are 8; the item numbers for ST segment / T wave / U wave changes items are 9; the item numbers for other ECG abnormality items are 10.

[0056] When i = 1 - 5, 7, 10, εi > δi > αi > βi > γi; when i = 6, 8, 9, δi > εi > αi > γi > βi;

[0057] When i = 1 - 4, 6, 7, 9, εi > δi > αi > βi > γi; when i = 5, 8, 10, δi > εi > αi > γi > βi;

[0058] S4. Determine whether the user has previous electrocardiogram data. If so, compare the current electrocardiogram data with the previous electrocardiogram data to obtain the change status of the electrocardiogram and proceed to step S5; otherwise, directly proceed to step S5.

[0059] S5. Output the current output score output and the conclusion output obtained by comparing the previous and current output scores output.

[0060] The total deduction score X1 for sinus rhythm and arrhythmia items is the sum of the following items: sinus tachycardia X11, sinus bradycardia X12, sinus arrhythmia X13, second-degree sinoatrial block X14, sinus arrest X15, sinus bradycardia with arrhythmia X16, and wandering pacemaker within the sinoatrial node X17, where X15 ≥ X14 ≥ X11 = X12 = X16 ≥ X13 = X17;

[0061] The total deduction score X2 for supraventricular arrhythmia items is the sum of the following items: atrial premature beat X21, non-conducted atrial premature beat X22, atrial escape beat X23, atrial escape rhythm X24, accelerated atrial escape beat X25, accelerated atrial escape rhythm X26, junctional premature beat X27, junctional escape beat X28, junctional escape rhythm X29, where X24 = X29 ≥ X22 = X23 = X25 = X26 = X28 ≥ X21 = X27;

[0062] The total deduction score X3 for supraventricular tachycardia items is the sum of the following items: atrial fibrillation X31, atrial flutter X32, atrial tachycardia X33, multifocal atrial tachycardia X34, supraventricular tachycardia X35, where X31 = X32 = X34 = X35 ≥ X33;

[0063] The total deduction score X4 for ventricular arrhythmia items is the sum of the following items: ventricular premature beat X41, ventricular fusion wave X42, ventricular escape beat X43, ventricular escape rhythm X44, accelerated ventricular escape beat X45, accelerated ventricular escape rhythm X46, where X43 = X44 = X45 = X46 ≥ X41 = X42;

[0064] The total deduction score X5 for atrioventricular conduction abnormalities is the sum of the following items: short PR interval X51, first-degree atrioventricular block X52, second-degree type X7 atrioventricular block X53, second-degree type X7X7 atrioventricular block X54, 2:1 atrioventricular block X55, left anterior fascicular block X56, left posterior fascicular block X57, complete right bundle branch block X58, incomplete right bundle branch block X59, localized right bundle branch block X510, complete left bundle branch block X511, incomplete left bundle branch block X512, intraventricular block X513, right bundle branch block combined with left anterior fascicular block X514, right bundle branch block combined with left posterior fascicular block X515, ventricular preexcitation wave X516, where X54 = X55 = X511 = X514 ≥ X57 = X58 = X512 = X513 = X515 = X516 ≥ X53 = X56 = X59 ≥ X51 = X52 = X510;

[0065] The total deduction score X6 for electroaxis voltage abnormalities is the sum of the following items: left axis deviation X61, right axis deviation X62, indeterminate electroaxis X63, low voltage in limb leads X64, low voltage in precordial leads X65, global low voltage X66, where X66 ≥ X65 = X64 = X63 ≥ X62 = X61;

[0066] The total deduction score X7 for cardiac chamber hypertrophy and dilation is the sum of the following items: high voltage in the left ventricle X71, high voltage in the right ventricle X72, high voltage in both ventricles X73, widened P wave X74, tall and pointed P wave X75, widened and tall and pointed P wave X76, X72 = X73 = X76 ≥ X71 = X74 = X75;

[0067] The total deduction score X8 for the heart rate change item of the electrocardiogram data of users who upload data multiple times is the sum of the following items: increasing from 50 - 60 beats per minute to 80 beats per minute X81, increasing from 50 - 60 beats per minute to 90 beats per minute X82, increasing from 50 - 60 beats per minute to 100 beats per minute X83, increasing from 50 - 60 beats per minute to more than 100 beats per minute X84, where X84 ≥ X83 ≥ X81 = X82;

[0068] The total deduction score X9 for ST segment / T wave / U wave changes is the sum of the following items: ST segment elevation <0.05Mv is recorded as X91, ST segment depression <0.05mV is recorded as X92, ST segment elevation 0.05 - 0.10mV is recorded as X93, ST segment depression 0.05 - 0.10mV is recorded as X94, T wave flattening X95, T wave notching X96, T wave inversion <0.2mV is recorded as X97, tall T wave X98, QT interval prolongation X99, QTX3 interval prolongation X910, U wave enlargement <0.2mV is recorded as X911, QT interval shortening X912, where X94 = X910 = X99 ≥ X911 = X93 ≥ X97 = X98 ≥ X91 = X92 = X912 ≥ X95 = X96;

[0069] The total deduction score X10 for other electrocardiogram abnormality items is the sum of the following items: sinus capture X101, early repolarization X102, counterclockwise rotation X103, clockwise rotation X104, where X101 = X102 = X103 = X104. The deduction score values are as follows: X31 = X32 = X34 = X35 ≥ X33 = X94 = X910 = X99 ≥ X911 = X93 ≥ X43 = X44 = X45 = X46 = X54 = X55 = X511 = X514 = X97 = X98 ≥ X15 = X24 = X29 = X41 = X42 = X57 = X58 = X512 = X513 = X515 = X516 = X66 = X72 = X73 = X76 = X84 = X91 = X92 = X912 ≥ X14 = X22 = X23 = X25 = X26 = X28 = X53 = X56 = X59 = X65 = X64 = X63 = X71 = X74 = X75 = X83 = X95 = X96 ≥ X11 = X12 = X16 = X21 = X27 = X51 = X52 = X510 = X62 = X61 = X81 = X82 = X101 = X102 = X103 = X104 ≥ X13 = X17. Step S4 specifically includes:

[0070] S41. Determine whether there are at least three electrocardiogram data for this user. If so, draw the output score output curve according to the generated health score, calculate the coefficient of variation, and obtain the electrocardiogram stability degree of the user according to the size of the coefficient of variation, and then proceed to step S42; otherwise, proceed to step S43;

[0071] S42. Output the electrocardiogram stability degree of the user to the data to be output;

[0072] S43. Determine whether there is a previous output score output for the user. If so, proceed to step S44; otherwise, proceed to step S5;

[0073] S44. Subtract the previous mean from the current output score output to get V1, and subtract the previous output score output from the current output score output to get V2;

[0074] S45. Set thresholds Q1, Q2, Q3, Q4, where 0 > Q1 > Q2 > Q3 > Q4;

[0075] S46. When either V1 is less than Q4 or V2 is less than Q3, output "It is recommended that the user should visit the outpatient department of cardiology recently"; when either V1 is greater than or equal to Q4 and less than Q2 or V2 is greater than or equal to Q3 and less than Q1, output "It is recommended that the user should have a physical examination at the hospital at an appropriate time"; when V1 is greater than or equal to Q2 and V2 is greater than or equal to Q1, proceed to step S5.

[0076] In this embodiment, the above items are formulated according to Tables 1 to 10 below:

[0077]

[0078] Table 1

[0079]

[0080]

[0081] Table 2

[0082]

[0083] Table 3

[0084]

[0085] Table 4

[0086]

[0087]

[0088] Table 5

[0089]

[0090] Table 6

[0091]

[0092] Table 7

[0093]

[0094] Table 8

[0095]

[0096]

[0097] Table 9

[0098]

[0099] Table 10

[0100] When the user obtains electrocardiogram data three times or more and generates an electrocardiogram score, the system will depict an electrocardiogram score curve based on the generated electrocardiogram health score, and at the same time conduct statistical analysis based on the existing data to calculate the coefficient of variation. The smaller the coefficient of variation, the more stable the user's heart health status.

[0101] When the single electrocardiogram score of the same user decreases by more than 8 compared to the previous average or by more than 5 compared to the previous time, it is recommended that the user should go for a physical examination at the hospital at an appropriate time; when the single electrocardiogram score of the same user decreases by more than 15 compared to the previous average or by more than 10 compared to the previous time, it is recommended that the user should go to the outpatient department of cardiology for treatment recently; it is applicable to the electrocardiogram diagnosis system in all modes, and in addition to being applicable to the remote electrocardiogram diagnosis system, it is also applicable to the traditional in-hospital electrocardiogram diagnosis system.

[0102] As mentioned above, it is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered within the protection scope of the present invention.

Claims

1. An electrocardiogram evaluation method based on user data, characterized in that: It includes the following steps: S1. The user collects an electrocardiogram (ECG) through the client and uploads the ECG data to the server through the client. S2. The judgment terminal obtains the ECG data from the server through the data center. The judgment terminal makes a judgment based on the current ECG data and outputs an ECG diagnosis report. S3. Preset an initial score S, calculate the output score output, and the formula is as follows: Output = S - ∑Pi * Xi; where P is the dynamic weight, X is the total deduction of each item, and i is the item number. The calculation formula of the dynamic weight P is as follows: Pi = αi + βi + γi + δi + εi; where αi is the age index; βi is the gender; γi is the body mass index; δi is the history of cardiovascular disease; εi is the physical sign. The item number of the sinus rhythm and arrhythmia item is 1; the item number of the supraventricular arrhythmia item is 2; the item number of the supraventricular tachycardia item is 3; the item number of the ventricular arrhythmia item is 4; The item number of the atrioventricular conduction abnormality item is 5; The item number of the abnormal axis voltage item is 6; the item number of the cardiac chamber hypertrophy and dilation item is 7; the item number of the heart rate change of the user's ECG data with multiple uploaded data is 8; the item number of the ST segment / T wave / U wave change item is 9; the item number of the other ECG abnormality item is 10. When i = 1 - 5, 7, 10, εi > δi > αi > βi > γi; when i = 6, 8, 9, δi > εi > αi > γi > βi; S4. Judge whether the user has previous ECG data. If so, compare the current ECG data with the previous ECG data to obtain the change status of the ECG and perform step S5; otherwise, directly perform step 5. S5. Output the current output score output and the conclusion obtained by comparing the output scores output between the previous and current ones. The total deduction X1 of the sinus rhythm and arrhythmia item is the sum of the following items: sinus tachycardia X11, sinus bradycardia X12, sinus arrhythmia X13, second-degree sinoatrial block X14, sinus arrest X15, sinus bradycardia with arrhythmia X16, and wandering pacemaker within the sinoatrial node X17, where X15 ≥ X14 ≥ X11 = X12 = X16 ≥ X13 = X17; The total deduction X2 of the supraventricular arrhythmia item is the sum of the following items: atrial premature beat X21, non-conducted atrial premature beat X22, atrial escape beat X23, atrial escape rhythm X24, accelerated atrial escape beat X25, accelerated atrial escape rhythm X26, junctional premature beat X27, junctional escape beat X28, junctional escape rhythm X29, where X24 = X29 ≥ X22 = X23 = X25 = X26 = X28 ≥ X21 = X27; The total deduction X3 of the supraventricular tachycardia item is the sum of the following items: atrial fibrillation X31, atrial flutter X32, atrial tachycardia X33, multifocal atrial tachycardia X34, supraventricular tachycardia X35, where X31 = X32 = X34 = X35 ≥ X33; The total deduction score X4 for the ventricular arrhythmia item is the sum of the following: premature ventricular contractions X41, ventricular fusion beats X42, ventricular escape beats X43, ventricular escape rhythm X44, accelerated ventricular escape beats X45, and accelerated ventricular escape rhythm X46, where X43 = X44 = X45 = X46 ≥ X41 = X42; The total deduction score X5 for the atrioventricular conduction abnormality item is the sum of the following: short PR interval X51, first-degree atrioventricular block X52, second-degree type X7 atrioventricular block X53, second-degree type X7X7 atrioventricular block X54, 2:1 atrioventricular block X55, left anterior fascicular block X56, left posterior fascicular block X57, complete right bundle branch block X58, incomplete right bundle branch block X59, localized right bundle branch block X510, complete left bundle branch block X511, incomplete left bundle branch block X512, intraventricular block X513, right bundle branch block combined with left anterior fascicular block X514, right bundle branch block combined with left posterior fascicular block X515, ventricular preexcitation wave X516, where X54 = X55 = X511 = X514 ≥ X57 = X58 = X512 = X513 = X515 = X516 ≥ X53 = X56 = X59 ≥ X51 = X52 = X510; The total deduction score X6 for the electroaxis voltage abnormality item is the sum of the following: left axis deviation X61, right axis deviation X62, indeterminate electroaxis X63, low limb lead voltage X64, low precordial lead voltage X65, and global low voltage X66, where X66 ≥ X65 = X64 = X63 ≥ X62 = X61; The total deduction score X7 for the cardiac chamber hypertrophy and dilation item is the sum of the following: left ventricular high voltage X71, right ventricular high voltage X72, bilateral ventricular high voltage X73, widened P wave X74, tall and peaked P wave X75, widened and tall and peaked P wave X76, where X72 = X73 = X76 ≥ X71 = X74 = X75; The total deduction score X8 for the heart rate change item of the electrocardiogram data of users who upload data multiple times is the sum of the following: increase from 50 - 60 beats per minute to 80 beats per minute X81, increase from 50 - 60 beats per minute to 90 beats per minute X82, increase from 50 - 60 beats per minute to 100 beats per minute X83, increase from 50 - 60 beats per minute to more than 100 beats per minute X84, where X84 ≥ X83 ≥ X81 = X82; The total deduction score X9 for the ST segment / T wave / U wave change items is the sum of the following items: ST segment elevation <0.05Mv is denoted as X91, ST segment depression <0.05mV is denoted as X92, ST segment elevation 0.05 - 0.10mV is denoted as X93, ST segment depression 0.05 - 0.10mV is denoted as X94, T wave flattening X95, T wave notching X96, T wave inversion <0.2mV is denoted as X97, T wave tall X98, QT interval prolongation X99, QTX3 interval prolongation X910, U wave enlargement <0.2mV is denoted as X911, QT interval shortening X912, where X94 = X910 = X99 ≥ X911 = X93 ≥ X97 = X98 ≥ X91 = X92 = X912 ≥ X95 = X96; The total deduction score X10 for the other electrocardiogram abnormality items is the sum of the following items: sinus capture X101, early repolarization X102, counterclockwise rotation X103, clockwise rotation X104, where X101 = X102 = X103 = X104.

2. The electrocardiogram evaluation method based on user data according to claim 1, characterized in that: The magnitudes of each deduction score are as follows: X31 = X32 = X34 = X35 ≥ X33 = X94 = X910 = X99 ≥ X911 = X93 ≥ X43 = X44 = X45 = X46 = X54 = X55 = X511 = X514 = X97 = X98 ≥ X15 = X24 = X29 = X41 = X42 = X57 = X58 = X512 = X513 = X515 = X516 = X66 = X72 = X73 = X76 = X84 = X91 = X92 = X912 ≥ X14 = X22 = X23 = X25 = X26 = X28 = X53 = X56 = X59 = X65 = X64 = X63 = X71 = X74 = X75 = X83 = X95 = X96 ≥ X11 = X12 = X16 = X21 = X27 = X51 = X52 = X510 = X62 = X61 = X81 = X82 = X101 = X102 = X103 = X104 ≥ X13 = X17.

3. The electrocardiogram evaluation method based on user data according to claim 2, characterized in that: The step S4 specifically includes: S41. Determine whether there are at least three electrocardiogram data for this user. If so, draw an output score output curve according to the generated electrocardiogram health score, calculate the coefficient of variation, and obtain the electrocardiogram stability degree of the user according to the magnitude of the coefficient of variation, and then proceed to step S42; otherwise, proceed to step S43; S42. Output the electrocardiogram stability degree of the user to the data to be output; S43. Determine whether there is a previous output score output for the user. If so, proceed to step S44, otherwise proceed to step S5; S44. Subtract the previous mean from the current output score output to obtain V1, and subtract the previous output score output from the current output score output to obtain V2; S45. Set thresholds Q1, Q2, Q3, Q4, where 0 > Q1 > Q2 > Q3 > Q4; S46. When either V1 is less than Q4 or V2 is less than Q3 is satisfied, output "It is recommended that the user should visit the outpatient department of cardiology recently"; when either V1 is greater than or equal to Q4 and less than Q2 or V2 is greater than or equal to Q3 and less than Q1 is satisfied, output "It is recommended that the user should have a physical examination at the hospital at an appropriate time", and when V1 is greater than or equal to Q2 and V2 is greater than or equal to Q1, proceed to step S5.

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