CN114569077B - Myocardial infarction detection system and method based on mobile terminal - Google Patents
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Abstract
The myocardial infarction detection system based on the mobile terminal comprises a server and the mobile terminal which are connected with each other; the mobile terminal comprises a heart rate sensor and an image processing module; the heart rate sensor is capable of detecting a heart rate of a user and outputting first electrocardiogram data; the image processing module can acquire first T wave data corresponding to the first electrocardiogram data through an image interception method; the server comprises a database and a processor; the database stores second T-wave data; the processor can output first disease data and a normal signal through an image contrast method, and sends out an alarm signal when the processor outputs the first disease data. According to the invention, whether the patient suffers from myocardial infarction can be detected in time through the content, and if yes, an alarm signal is sent out, so that the health of the patient can be detected in real time, and the life safety of the patient is ensured.
Description
Technical Field
The invention relates to the field of myocardial infarction detection, in particular to a myocardial infarction detection system based on a mobile terminal.
Background
Myocardial infarction is also called myocardial infarction, which refers to ischemic necrosis of cardiac muscle, and is characterized in that on the basis of coronary artery pathological changes, blood flow of coronary artery is rapidly reduced or interrupted, so that corresponding cardiac muscle is seriously and durably subjected to acute ischemia, and finally, the ischemic necrosis of cardiac muscle is caused. Acute myocardial infarction patients have persistent severe poststernal pain, fever, increased white blood cell count, increased serum myocardial enzyme and a series of characteristic evolutions of acute myocardial injury, ischemia and necrosis reflected by electrocardiogram, can have arrhythmia, shock or heart failure, and belong to the severe types of acute coronary syndromes.
The initial symptoms of the patients are chest distress accompanied by chest pain, and some patients may overlook the symptoms, but the optimal treatment time is often missed.
Therefore, a myocardial infarction detection system based on a mobile terminal, which can automatically detect myocardial infarction and remind a patient to seek medical advice in time, is urgently needed at present.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a myocardial infarction detection system based on a mobile terminal, which can automatically detect myocardial infarction and remind a patient of timely hospitalizing.
The invention relates to a myocardial infarction detection system based on a mobile terminal, which comprises a server and the mobile terminal which are connected with each other;
the mobile terminal comprises a heart rate sensor and an image processing module;
the heart rate sensor is capable of detecting a user heart rate and outputting first electrocardiogram data;
the image processing module can acquire first T wave data corresponding to the first electrocardiogram data through an image interception method;
the server comprises a database and a processor;
the database stores second T wave data, and the second T wave data are T wave data in an electrocardiogram of a normal person;
the processor can output first disease data and a normal signal through an image comparison method, and sends out an alarm signal when outputting the first disease data;
the image capturing method comprises
The image processing module can acquire endpoint data in first electrocardiogram data of a patient at intervals of first preset time, outputs an image formed by every seven continuous endpoint data into a plurality of second electrocardiogram data, sequentially coincides first endpoint data in the first second electrocardiogram data with first endpoint data of all other second electrocardiogram data, and the processor judges whether the coincidence rate of the first second electrocardiogram data with the other second electrocardiogram data exceeds a first preset percentage value;
if the first electrocardiogram data exceeds the second electrocardiogram data, outputting the first second electrocardiogram data as third electrocardiogram data, and outputting first T-wave data between the fourth end point data and the seventh end point data of the third electrocardiogram data;
if the first T wave data is not exceeded, the processor acquires a plurality of pre-selected first T wave data output among the fourth to seventh endpoint data in the second electrocardiogram data, and outputs the highest peak in the pre-selected first T wave data as the first T wave data.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein the specific steps of enabling the output with the highest wave crest in a plurality of pre-selected first T wave data to be the first T wave data comprise: and superposing the first endpoint data in the plurality of preselected first T-wave data, and outputting the first T-wave data corresponding to the preselected first T-wave data corresponding to the point with the highest second endpoint data.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein an image contrast method is
A second closed graph area is also stored in the database, the second closed graph area is the area of a closed graph with the largest area in a closed graph formed by connecting lines of a left end point and a right end point in the second T wave data, and a first area is stored;
the processor acquires end point data in the first T-wave data, enables a left end point of the first T-wave data to be coincided with a left end point of the second T-wave data, and judges whether second end point data in the first T-wave data is in the first area or not;
if the first closed graph area is in the first area, connecting a left end point and a right end point in the first T wave data to form a plurality of first closed graphs, and outputting the area of the first closed graph with the largest area as the first closed graph area;
the processor judges whether the difference between the area of the first closed graph and the area of the second closed graph exceeds a first preset threshold value or not;
if the first disease data exceeds the first disease data, outputting first disease data and outputting an alarm signal;
if not, outputting a normal signal;
if the first T wave data is not in the first area, the processor judges whether the second end point data in the first T wave data is located above the first area or below the first area;
if the first region is located above the first region, outputting first disease data and outputting an alarm signal;
if the first region is located below the first region, a normal signal is output.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein the database also stores first hospital position data;
the mobile terminal comprises a GPS module, wherein the GPS module collects first position data of a user every second preset time when the processor sends out an alarm signal, forms a first straight line by the first position data obtained every time and the first hospital position data, and judges whether the length of the first straight line is gradually reduced or not;
if yes, the processor judges whether the patient reaches the first hospital position data or not after a first preset time c;
if the user arrives, the alarm signal is cancelled, and the user is marked as a class of user and uploaded to the server;
if not, the processor automatically dials an emergency call and marks the user as a second class user to be uploaded to the server;
if not, continuously sending out an alarm signal of a second preset threshold value time, and judging whether the length of the first straight line is reduced in the alarm signal of the second preset threshold value time;
if the time is smaller, the processor judges whether the patient can reach the first hospital position data or not after a first preset time c;
if the user can arrive, the alarm signal is cancelled, and the user is marked as three types of users and uploaded to the server;
if the user can not arrive, the processor automatically dials an emergency call and marks the user as four types of users to be uploaded to the server.
If not, the processor automatically dials the emergency call and marks the user as five types of users to be uploaded to the server.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein the mobile terminal is an electronic watch or an electronic bracelet.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein the mobile terminal is connected with a server in a wireless mode.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein first disease data is myocardial infarction.
The invention relates to a myocardial infarction detection system based on a mobile terminal, wherein second T wave data are T wave data in an electrocardiogram of a normal person.
The myocardial infarction detection system based on the mobile terminal is different from the prior art in that the myocardial infarction detection system based on the mobile terminal can acquire the electrocardiogram of a patient through a heart rate sensor of the mobile terminal, acquires T waves in the electrocardiogram of the patient through an image interception method, outputs disease data and normal signals through an image comparison method according to the normal T waves, and sends out alarm signals when the disease data is output.
The myocardial infarction detection system based on the mobile terminal of the invention is further explained by combining the attached drawings.
Drawings
Fig. 1 is a schematic diagram of second T-wave data stored in a database in a myocardial infarction detection system based on a mobile terminal;
FIG. 2 is a schematic of first electrocardiogram data, second electrocardiogram data, first T-wave data of a patient;
FIG. 3 is a schematic view of a first region;
fig. 4 is a first flowchart of a mobile terminal-based myocardial infarction detection system.
Detailed Description
As shown in fig. 1 to 4, referring to fig. 1 and 2, a myocardial infarction detection system based on a mobile terminal includes a server and the mobile terminal connected with each other;
the mobile terminal comprises a heart rate sensor and an image processing module;
the heart rate sensor is capable of detecting a heart rate of a user and outputting first electrocardiogram data;
the image processing module can acquire first T wave data corresponding to the first electrocardiogram data through an image interception method;
the server comprises a database and a processor;
the database stores second T-wave data;
the processor can output first disease data and a normal signal through an image contrast method, and sends out an alarm signal when the processor outputs the first disease data.
According to the invention, the heart rate sensor of the mobile terminal can be used for acquiring the electrocardiogram of the patient, the T wave in the electrocardiogram of the patient is acquired by an image interception method, the disease data and the normal signal are output by an image comparison method according to the normal T wave, and the alarm signal is sent out when the disease data is output.
Wherein the first disease data is myocardial infarction.
And the second T wave data is T wave data in the electrocardiogram of the normal person.
The mobile terminal is an electronic watch or an electronic bracelet.
The invention can detect the patient in real time by arranging the electronic watch or the electronic bracelet type mobile terminal, is convenient for the user to use and ensures the life health and safety of the patient.
And the mobile terminal is connected with the server in a wireless mode.
The invention can detect whether the patient is ill no matter where the user moves through the mobile terminal and the server which are in wireless connection, thereby being convenient for the user to use.
Preferably, the image capturing method described with reference to FIGS. 1, 2 and 3 is
The image processing module can acquire endpoint data in first electrocardiogram data of the patient at intervals of first preset time, outputs an image formed by every seven continuous endpoint data into a plurality of second electrocardiogram data, sequentially overlaps a first endpoint data in the first second electrocardiogram data with first endpoint data of all other second electrocardiogram data, and the processor judges whether the overlapping rate of the first second electrocardiogram data and the other second electrocardiogram data exceeds a first preset percentage value;
if the first electrocardiogram data exceeds the second electrocardiogram data, outputting the first second electrocardiogram data as third electrocardiogram data, and outputting the fourth end point data to the seventh end point data of the third electrocardiogram data as first T-wave data;
if the first T wave data is not exceeded, the processor acquires a plurality of pre-selected first T wave data output among the fourth to seventh endpoint data in the second electrocardiogram data, and outputs the highest peak in the pre-selected first T wave data as the first T wave data.
The method and the device have the advantages that the overlapped part in the electrocardiogram of the patient is obtained firstly, then the T wave data in the part is obtained and output as the T wave data of the patient, and only the T wave data in the electrocardiogram are needed to be compared as the T wave data in the electrocardiogram of the patient suffering from myocardial infarction rises during attack, so that the operation speed of the system can be improved, the patient suffering from myocardial infarction is detected in the fastest time, the life safety of the patient is protected, and the health of the patient is protected.
Wherein the first percentage threshold is 80%.
The specific step of "setting the highest peak output among the plurality of preselected first T-wave data as the first T-wave data" is: and superposing the first endpoint data in the plurality of preselected first T-wave data, and outputting the first T-wave data corresponding to the preselected first T-wave data corresponding to the point with the highest second endpoint data.
According to the invention, the second endpoint data in the first T wave data is defined as the wave crest, so that reference errors can be avoided when other endpoints are higher than the second endpoint, the inaccurate data and result after comparison can be prevented, and unnecessary confusion can be prevented.
The image processing module may acquire endpoint data in the first electrocardiogram data of the patient every first preset time, and the acquiring of the endpoint data in the first electrocardiogram data of the patient may be performed by comparing slopes of each segment of the curve, and if an absolute value of a change of the slopes of two adjacent curves exceeds a first slope threshold, an intersection point of the two curves is output as the endpoint data, for example, a point circled on fig. 1, and at the same time, an inflection point of the first electrocardiogram data may be acquired, the inflection point being a concave point or a convex point in the first electrocardiogram data, and the above endpoint data may be captured in the prior art.
Wherein said first slope threshold is 1-5, preferably 2.
Preferably, the image contrast method described with reference to fig. 1, 2 and 3 is
The database also stores a second closed graph area, wherein the second closed graph area is the area of a closed graph with the largest area in a closed graph formed by connecting lines of a left end point and a right end point in the second T wave data, and a first area is stored;
the processor acquires end point data in the first T-wave data, enables a left end point of the first T-wave data to be coincided with a left end point of the second T-wave data, and judges whether second end point data in the first T-wave data is in the first area or not;
if the first closed graph area is in the first area, connecting a left end point and a right end point in the first T wave data to form a plurality of first closed graphs, and outputting the area of the first closed graph with the largest area as the first closed graph area;
the processor judges whether the difference between the area of the first closed graph and the area of the second closed graph exceeds a first preset threshold value or not;
if the first disease data exceeds the first disease data, outputting first disease data and outputting an alarm signal;
if not, outputting a normal signal;
if the first T wave data is not in the first area, the processor judges whether the second end point data in the first T wave data is located above the first area or below the first area;
if the first area is located above the first area, outputting first disease data and outputting an alarm signal;
if the first area is located below the second area, a normal signal is output.
The method comprises the steps of firstly judging whether a second end point in T wave data of a patient is located in a first area or not, judging whether a wave crest of the T wave data of the patient is located on the same side as a wave crest of second T wave data or not, if so, comparing the area formed by the T wave of the patient with the area of the T wave of a normal person, and if the difference between the area formed by the T wave of the patient and the area of the T wave of the normal person exceeds a first preset threshold value, lifting the T wave section of the patient to determine that the patient has myocardial infarction, and if not, proving that the patient does not have myocardial infarction, so as to send a normal signal.
If the second end point in the T wave data of the patient is not located in the first area, it is determined whether the peak is above or below the first area, and it is proved that the T wave data of the patient is elevated above the first area, and it can be known that the patient has myocardial infarction without determining the area, and if the second end point is below the first area, it is determined that the patient has no myocardial infarction.
The second T-wave data is composed of the fourth to seventh end point data of the third electrocardiogram data, and the third electrocardiogram data is a curve with large fluctuation, so that a plurality of closed graphs may be formed by connecting the left and right end points in the second T-wave data.
Preferably, referring to fig. 4, the database further stores therein first hospital location data;
the mobile terminal comprises a GPS module, wherein the GPS module collects first position data of a user every second preset time when the processor sends out an alarm signal, forms a first straight line by the first position data obtained every time and the first hospital position data, and judges whether the length of the first straight line is gradually reduced or not;
if yes, the processor judges whether the patient reaches the first hospital position data or not after a first preset time c;
if the user arrives, the alarm signal is cancelled, and the user is marked as a class of user and uploaded to the server;
if not, the processor automatically dials an emergency call and marks the user as a second class user to be uploaded to the server;
if not, continuously sending out an alarm signal of a second preset threshold value time, and judging whether the length of the first straight line is reduced in the alarm signal of the second preset threshold value time;
if the time is smaller, the processor judges whether the patient can reach the first hospital position data or not after a first preset time c;
if the user can arrive, the alarm signal is cancelled, and the user is marked as three types of users and uploaded to the server;
if the user can not arrive, the processor automatically dials the emergency call and marks the user as four types of users to be uploaded to the server.
If not, the processor automatically dials the emergency call and marks the user as five types of users to be uploaded to the server.
The processor judges whether a user is on the way to a hospital when the user suffers from myocardial infarction, if so, judges whether the user arrives at the hospital in the optimal rescue period, if so, cancels the alarm, if not, automatically dials 120, if not, continuously sends an alarm signal to remind the patient to go to the hospital for treatment, if the patient goes to the hospital in the continuous early warning period, judges whether the user arrives at the hospital in the optimal rescue period, if so, cancels the alarm, if not, automatically dials 120, and classifies the user into a first type of user, a second type of user, a third type of user, a fourth type of user and a fifth type of user to automatically generate different first preset time c suitable for the user according to different users when the alarm signal occurs next time.
Wherein the emergency telephone is 120.
Wherein the initial value of the first preset time c is 10-150 minutes, preferably 90 minutes.
Wherein the second preset time is 1-60 seconds, preferably 30 seconds.
The attention degree of the first class user, the second class user, the third class user, the fourth class user and the fifth class user to the state of an illness is gradually decreased once, the patient can go to the hospital immediately after finding an alarm signal and can arrive within the gold rescue period, so that the fact that the patient can pay attention to the state of the illness of the user is proved, the second class user can go to the hospital immediately but cannot arrive within the gold rescue period, the third class user cannot go to the hospital immediately but can go to the hospital within the gold rescue period after continuous alarm, the fourth class user cannot go to the hospital immediately after continuous alarm, the fifth class user can go to the hospital after continuous alarm, and the first preset time c is changed through a first method according to the fact that different users generate the alarm signal next time.
According to the invention, the attitude of the user to the state of illness is divided into five levels, and when the user suffers from myocardial infarction next time, the gold rescue time of the user is adjusted to a certain degree according to different levels of the user.
For example, the mobile terminal of a user sends an alarm signal, the GPS module in the mobile terminal is powered on at the moment, and records the position every 30 seconds, and if the distance from the positions recorded for a plurality of consecutive 30 seconds to the hospital is shortened, it indicates that the user is going to the hospital, but does not arrive at the hospital within 90 minutes, so the user is determined as a second-class user and immediately and automatically dials 120.
Preferably, the mobile terminal further comprises a first entry module, and the first entry module can acquire age data of the patient;
the database also stores a first user index a corresponding to a first class user, a second class user, a third class user, a fourth class user and a fifth class user and an age index b corresponding to the age data of the users;
when the processor sends out an alarm signal for the second time, outputting the second class of users as three classes of users, outputting the third class of users as four classes of users, outputting the four classes of users as five classes of users, and outputting first preset time c according to the first user index a and the age index b and the following formula;
according to the invention, the larger the first user index a is, the smaller the first preset time c of the patient, namely the gold rescue time is, the less attention is paid to the state of the patient, the gold rescue time is shortened, the patient does not reach a hospital within the set time, compared with the first time, the gold rescue time is required to be dialed 120 in advance, the larger the age of the patient is, the more fragile the cardiovascular system of the patient is, the higher the probability of accidents is, the age index b of the patient is in inverse proportion to the first preset time c, and the older the patient is, compared with other patients, the time for dialing 120 is advanced, so that the life safety of the patient is ensured, and the patient can be rescued within the shortest time.
Wherein the first user index a is shown in the following table:
wherein the age index b of the patient is as shown in the following table:
| age data | Age index b |
| (14，18] | 0.8 |
| (18，35] | 1.2 |
| (35，55] | 1.6 |
| (55，75] | 2.1 |
| (75，+∞] | 2.8 |
Wherein the unit of the first preset time c is minutes.
Wherein, outputting the second class users as three classes of users, outputting the third class users as four classes of users, and outputting the four classes of users as five classes of users further comprises: the first class user output is a first class user, and the fifth class user output is a fifth class user.
For example, if the patient is a second-class user aged 55, and the user is upgraded to a third-class user after the mobile terminal sends an alarm signal, his preset time is set
That is, the user does not arrive at the hospital within 90 minutes of the last attack, and then the attack is performed at this timeAnd dialing 120 directly if the hospital is not reached within 85 minutes.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.
Claims (8)
1. A myocardial infarction detection system based on mobile terminal, its characterized in that: the system comprises a server and a mobile terminal which are connected with each other;
the mobile terminal comprises a heart rate sensor and an image processing module;
the heart rate sensor is capable of detecting a heart rate of a user and outputting first electrocardiogram data;
the image processing module can acquire first T wave data corresponding to the first electrocardiogram data through an image interception method;
the server comprises a database and a processor;
the database stores second T wave data, and the second T wave data are T wave data in an electrocardiogram of a normal person;
the processor can output first disease data and a normal signal through an image comparison method, and sends out an alarm signal when outputting the first disease data;
the image interception method includes that the image processing module can acquire endpoint data in first electrocardiogram data of a patient at intervals of first preset time, images formed by every seven continuous endpoint data are output to form a plurality of second electrocardiogram data, the first endpoint data in the first second electrocardiogram data are sequentially overlapped with the first endpoint data of all other second electrocardiogram data, and the processor judges whether the overlapping rate of the first second electrocardiogram data and the other second electrocardiogram data exceeds a first preset percentage value;
if the first electrocardiogram data exceeds the second electrocardiogram data, outputting the first second electrocardiogram data as third electrocardiogram data, and outputting the fourth end point data to the seventh end point data of the third electrocardiogram data as first T-wave data;
if the first T wave data is not exceeded, the processor acquires a plurality of pre-selected first T wave data output among the fourth to seventh endpoint data in the second electrocardiogram data, and outputs the highest peak in the pre-selected first T wave data as the first T wave data.
2. The myocardial infarction detecting system based on the mobile terminal of claim 1, characterized in that: the specific step of "outputting the highest peak among the plurality of preselected first T-wave data as the first T-wave data" is: and superposing the first endpoint data in the plurality of preselected first T-wave data, and outputting the first T-wave data corresponding to the preselected first T-wave data corresponding to the point with the highest second endpoint data.
3. The myocardial infarction detecting system based on the mobile terminal of claim 2, characterized in that: the image contrast method comprises
The database is also stored with a second closed graph area, the second closed graph area is the area of a closed graph with the largest area in a closed graph formed by connecting lines of a left end point and a right end point in the second T wave data, and a first area is stored, and the first area is used for judging whether the wave crest of the T wave data of the patient and the wave crest of the second T wave data are positioned on the same side;
the processor acquires end point data in the first T-wave data, enables a left end point of the first T-wave data to be coincided with a left end point of the second T-wave data, and judges whether second end point data in the first T-wave data is in the first area or not;
if the first area is within the first area, connecting a left end point and a right end point in the first T wave data to form a plurality of first closed graphs, and outputting the area of the first closed graph with the largest area as the area of the first closed graph;
the processor judges whether the difference between the area of the first closed graph and the area of the second closed graph exceeds a first preset threshold value or not;
if the first disease data exceeds the first disease data, outputting first disease data and outputting an alarm signal;
if not, outputting a normal signal;
if the first T wave data is not in the first area, the processor judges whether the second end point data in the first T wave data is positioned above the first area or below the first area;
if the first region is located above the first region, outputting first disease data and outputting an alarm signal;
if the first region is located below the first region, a normal signal is output.
4. The myocardial infarction detecting system based on the mobile terminal of claim 3, characterized in that: the database also stores first hospital position data;
the mobile terminal comprises a GPS module, wherein the GPS module collects first position data of a user every second preset time when the processor sends out an alarm signal, forms a first straight line by the first position data obtained every time and the first hospital position data, and judges whether the length of the first straight line is gradually reduced or not;
if yes, the processor judges whether the patient reaches the first hospital position data or not after a first preset time c;
if the user arrives, the alarm signal is cancelled, and the user is marked as a class of user and uploaded to the server;
if not, the processor automatically dials an emergency call and marks the user as a second class user to be uploaded to the server;
if not, continuously sending out an alarm signal of a second preset threshold time, and judging whether the length of the first straight line is reduced in the alarm signal of the second preset threshold time;
if the time is smaller, the processor judges whether the patient can reach the first hospital position data or not after a first preset time c;
if the user can arrive, the alarm signal is cancelled, and the user is marked as three types of users and uploaded to the server;
if the user can not arrive, the processor automatically dials an emergency call and marks the user as four types of users to be uploaded to a server;
if not, the processor automatically dials the emergency call and marks the user as five types of users to be uploaded to the server.
5. The myocardial infarction detecting system based on the mobile terminal of claim 4, characterized in that: the mobile terminal is an electronic watch and an electronic bracelet.
6. The myocardial infarction detecting system based on the mobile terminal of claim 5, characterized in that: the mobile terminal is connected with the server in a wireless mode.
7. The myocardial infarction detecting system based on the mobile terminal of claim 6, characterized in that: the first disease data is myocardial infarction.
8. The myocardial infarction detecting system based on mobile terminal of claim 7, characterized in that: the second T wave data is T wave data in an electrocardiogram of a normal person.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210193217.3A CN114569077B (en) | 2022-02-28 | 2022-02-28 | Myocardial infarction detection system and method based on mobile terminal |
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| KR101892176B1 (en) * | 2011-11-02 | 2018-08-28 | 삼성전자 주식회사 | electrocardiogram display method and user interface apparatus therefor |
| CN104720794B (en) * | 2015-04-13 | 2017-02-22 | 康泰医学***（秦皇岛）股份有限公司 | Method for detecting electrocardiogram wave form R points through superposing |
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| CN108926344B (en) * | 2018-07-26 | 2021-02-19 | 上海移视网络科技有限公司 | CNN neural network-based acute myocardial infarction positioning automatic discrimination system |
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