Early warning method based on myocardial infarction prevention

Abstract

The invention relates to the technical field of intelligent medical instruments, and discloses an early warning method based on myocardial infarction prevention, and the early warning device comprises an early warning module, a processing module and a power supply module. The early warning module comprises an electrode plate main body, the electrode plate main body is provided with a mainboard and electrode terminals, and the electrode terminals are respectively connected with the mainboard; the processing module comprises a main board positioned in the electrode plate main body; the main board comprises an analog-to-digital converter connected with the seven electrode terminals and a microcontroller chip processor connected with the analog-to-digital converter; the equipment can realize the functions of early discovery and early medical treatment of myocardial infarction patients, and can determine whether myocardial infarction occurs or not in the first time when the myocardial infarction occurs, so that timely intervention is carried out, and life dangers are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent medical devices, and in particular to an early warning method based on preventing myocardial infarction. Background Art

[0002] Heart disease is the number one killer of humans. Today, there are billions of heart disease patients around the world who need timely, appropriate and affordable medical care. Traditional electrocardiograms can only detect abnormal ECG signals, but have little or no effect on defects, lesions, aging, and functional loss (such as partial myocardial necrosis) of the physical structure of the heart. Echocardiography, computed tomography (CT), magnetic resonance imaging (MRI), and myocardial perfusion radionuclide scanning require large equipment and professional personnel to operate, with high testing costs, and it is difficult to monitor anytime and anywhere, resulting in the loss of valuable pathological information and rescue opportunities.

[0003] In today's society, people generally face high pressure in life and work. People who often work night shifts, stay up late and don't get enough rest, the elderly and some people who do strenuous exercise are at risk of myocardial infarction at any time. There are many electrocardiogram monitoring and detection instruments on the market, most of which are mainly for recording. For example, there are 24-hour dynamic electrocardiograms and 72-hour dynamic electrocardiograms, and some of them connect to mobile phones via Bluetooth to achieve the purpose of judging electrocardiogram data through mobile phones. However, these are futile in the emergency of myocardial infarction. Only by determining whether it is myocardial infarction within the first golden 10 minutes and taking timely intervention can life-threatening situations be effectively avoided.

[0004] Existing heart detection equipment is generally a dynamic electrocardiogram recorder, which can only generate a dynamic electrocardiogram and can only record for 24 hours or 72 hours. If the user has heart abnormalities during this period, especially myocardial infarction, simple records are far from meeting medical needs. Summary of the invention

[0005] The purpose of the present invention is to provide an early warning method based on the prevention of myocardial infarction, which can record the user's heart condition through learning, and in the event of heart abnormalities, detect acute myocardial infarction within 15 seconds, and issue a timely early warning to remind the user to call 120 immediately.

[0006] To achieve the above-mentioned purpose, the technical solution involved in the present invention is: an early warning method based on preventing myocardial infarction, the technical key points of which are:

[0007] S1: Paste the electrode sticker:

[0008] Tear off the electrode film at the electrode connection of the seven electrode terminals set on the early warning device and stick them on the human body; the seven electrode terminals on the early warning device are lead I, lead II, lead III, lead V1, lead V2, lead V5 and negative electrode, the V1 lead is attached to the fourth intercostal space on the right edge of the sternum, the V2 lead is attached to the fourth intercostal space on the left edge of the sternum, the V5 lead is attached to the point parallel to the left anterior axillary line and the fifth intercostal space, the I lead is located on the right clavicle, the II lead is located on the left clavicle, and the III lead is located on the right abdomen;

[0009] S2: Learning physical state:

[0010] When you are in good physical condition, place the warning device on your chest, turn on the learning button (4) on the main housing (1), press the learning button to enter the learning mode, and the indicator light will change after learning is completed, reminding you that learning is complete;

[0011] S3: The warning device is turned on:

[0012] Turn on the switch (3) on the mainframe housing (1), and feed back data to the mainboard through various electrode terminals;

[0013] S4: Signal transmission of early warning device:

[0014] The module of analog-to-digital converter in the mainboard converts the collected current into digital quantity, and then processes it through the microcontroller chip processor, marking the elevation or depression of the ST segment in the ECG waveform as myocardial ischemia;

[0015] S401: Draw a horizontal line 60-80ms after the J point of the electrocardiogram, and determine whether there is ST segment shift based on this baseline; when the ST segment is elevated, measure from the upper edge of the baseline to the upper edge of the ST segment; when the ST segment is depressed, measure from the lower edge of the baseline to the lower edge of the ST segment;

[0016] S402: Describe the leads, morphology, and amplitude of ST segment elevation according to the condition of ST segment elevation;

[0017] S4021: ST segment elevation characterized by upward shift of the J point in limb leads ≤0.1 mV, V1-V3 ≤0.3 mV, V4-V6 ≤0.1 mV, indicating premature ventricular repolarization if there is no clear cause;

[0018] S4022: The various types of ST segment depression are calculated based on the angle between the vertical line of the R wave on the electrocardiogram and the extended segment of the ST segment. When the angle is greater than 90°, it is a downward sloping type; when it is equal to 90°, it is a horizontal type; and when it is less than 90°, it is an upward sloping type. At this time, the ST segment of the lead is horizontal and depressed by 0.1mV.

[0019] S5: Timely alarm or upload to the cloud diagnosis center platform:

[0020] During the monitoring process, if an abnormality occurs, the buzzer will alarm;

[0021] When the physical condition is good, the data can be uploaded to the mobile phone APP, and then uploaded to the cloud diagnosis center platform through the APP to realize the function of cloud consultation.

[0022] On the other hand, the present application protects an early warning device based on preventing myocardial infarction, which is used to implement an early warning method based on preventing myocardial infarction as claimed in claim 1, and its technical points are:

[0023] The early warning device includes an early warning module, a processing module and a power supply module;

[0024] The early warning module includes an electrode plate body, on which a main board and electrode terminals are arranged, and the electrode terminals are respectively connected to the main board;

[0025] The processing module includes a main board located in the electrode plate body, the main board includes an analog-to-digital converter connected to the electrode terminal, and a microcontroller chip processor connected to the analog-to-digital converter;

[0026] The power supply module includes a switch key and a battery compartment, and the switch key and the battery compartment are both located on the mainframe housing where the electrode plate body is located.

[0027] Preferably, the number of the electrode terminals is seven, four of which are connected to the electrode plate body through electrode wire extension lines, and the other three are located directly above, at the lower left and at the lower right of the electrode plate body.

[0028] Preferably, a wireless communication module is also provided in the electrode plate body, and the wireless communication module is connected to the microcontroller chip processor and can realize data transmission with an external mobile phone through a Bluetooth module.

[0029] Preferably, the early warning module comprises a buzzer (6), an output line of the buzzer (6) is connected to a microcontroller chip processor, and the buzzer (6) is located on the front side of the host housing (1).

[0030] Preferably, the host housing (1) is also provided with a medicine bin (7) and a learning key (4).

[0031] Preferably, the early warning device in S2 can learn and record ECG data under normal conditions of different physical states. The ECG data is collected through the electrode stickers and then through an analog-to-digital converter module, and the values ​​of the collected data are stored in the flash memory on the mainboard.

[0032] Preferably, in S3 and S4, if an abnormality is found after the real-time collected data is compared with the data in the flash memory stored on the mainboard after learning in S2, the buzzer will be triggered to work and emit an alarm sound.

[0033] The advantages and beneficial effects of the present invention are: the early warning device and method protected by the present invention can determine whether it is a myocardial infarction at the first time, that is, within the golden 10 minutes of the occurrence of myocardial infarction, and carry out timely intervention; by setting a main board and seven electrode terminals on the early warning device, and by setting the seven electrode terminals at different positions, the data can be fed back to the main board through each electrode in real time, and the main board then analyzes and processes it, so as to understand the user's physical heart condition, and when myocardial infarction occurs, an alarm response is issued through a buzzer at the first time. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the overall structure of the early warning device;

[0035] Figure 2 It is a schematic diagram of the connection between the electrode plate body and the seven electrode terminals;

[0036] Figure 3 This is the internal connection diagram of the motherboard;

[0037] The accompanying drawings are described as follows: 1. Main body housing 2, electrode plate body 3, power key 4, learning key 5, battery compartment 6, buzzer 7, medicine compartment 8, electrode terminal. DETAILED DESCRIPTION

[0038] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0039] like Figure 1 As shown, an early warning device based on preventing myocardial infarction includes an early warning module, a processing module and a power supply module;

[0040] The early warning module includes an electrode plate body 2, on which a main board and electrode terminals 8 are arranged, and the electrode terminals 8 are respectively connected to the main board;

[0041] The processing module includes a main board located in the electrode plate body, the main board includes an analog-to-digital converter connected to the electrode terminal, and a microcontroller chip processor connected to the analog-to-digital converter;

[0042] The power supply module includes a switch key 3 and a battery compartment 5, and the switch key 3 and the battery compartment 5 are both located on the main housing 1 where the electrode plate body 2 is located. The electrode plate body 2 is provided with a main board and seven electrode terminals 8, and the seven electrode terminals 8 are respectively connected to the main board. The main housing 1 is a rectangular structure, and the switch key 3 and the learning key 4 are provided at its upper end. The battery compartment, buzzer 6 and medicine compartment 7 are provided on the side of the main housing 1. Because the lithium battery will have power attenuation and loss, this device uses a universal No. 5 battery. The device comes with a No. 5 battery and a spare No. 5 battery. A total of two No. 5 batteries are required as the power supply module of the early warning device; the medicine compartment 7 is equipped with a medicine compartment for quick-acting heart-saving pills, which can be taken in an emergency. Because acute myocardial infarction needs to be effectively controlled in the shortest time, quick-acting heart-saving pills must be taken under normal circumstances. This device is provided with a medicine compartment for quick-acting heart-saving pills, which can be taken out by sliding the upper cover to achieve the effect of taking it at the first time.

[0043] In this application, the power supply module's switch is a physical switch, and the battery compartment is a AA general-purpose battery. Because the device is used in emergency situations, a battery energy management system has been independently developed. After turning on the switch, if the electrode sheet is not pasted properly, the system will remind you. If it is not pasted properly for more than 5 minutes, it will automatically pause and continue to work after it is pasted. In learning mode, only 30 seconds of data is stored. After learning five states, the battery energy saving mode will also be activated.

[0044] like Figure 2 As shown, four of the seven electrode terminals 8 are connected to the electrode plate body as a whole through electrode wire extension lines, and the other three electrode terminals are located directly above, at the lower left and at the lower right of the electrode plate body.

[0045] In the present application, the seven electrode terminals are lead I, lead II, lead III, lead V1, lead V2, lead V5 and the negative electrode, wherein the negative electrode, lead V1 and lead V2 are located directly above, at the lower left and at the lower right of the electrode body, respectively. The lead V1 is attached to the fourth intercostal space on the right edge of the sternum, the lead V2 is attached to the fourth intercostal space on the left edge of the sternum, the lead V5 is attached to the parallel point between the left anterior axillary line and the fifth intercostal space, the lead I is located on the right clavicle, the lead II is located on the left clavicle, and the lead III is located on the right abdomen. The pasting position is based on the different currents fed back at each position, and different myocardial infarction symptoms are reflected through different positions. The reaction of lead I is lateral wall myocardial infarction, the reaction of leads II and III is inferior wall myocardial infarction, and the reaction of V1, V2, and V5 is extensive anterior wall myocardial infarction. Most of the posterior wall tests on the market are not involved. This device can be attached not only to the front chest but also to the back to monitor posterior wall myocardial infarction of V7, V8, and V9.

[0046] In the present application, a main board is arranged in the electrode plate body 2, and the main board includes an analog-to-digital converter connected to the seven electrode terminals and a microcontroller chip processor connected to the analog-to-digital converter. The microcontroller chip processor is also connected to a buzzer, a wireless communication module and a power supply module. The buzzer can emit an alarm sound in the case of abnormal data; the wireless communication module can realize data transmission with an external mobile phone through a Bluetooth module. The analog-to-digital converter is a signal acquisition module, which can collect signals from ECG electrodes, and convert the collected analog quantities into digital quantities, and provide them to the microcontroller chip processor; the microcontroller chip processor processes the digital quantity of the received electrode signals, writes them during the processing, and judges the algorithm of ECG data. If an abnormality is found, an abnormal instruction will be sent to the buzzer.

[0047] In this application, the method of using the early warning device for preventing myocardial infarction is:

[0048] After firmly attaching the seven electrode terminals, turn on the switch 3 on the mainframe housing. After receiving the signal, each electrode feeds the data back to the mainboard. The mainboard converts the collected current into digital quantity through the analog-to-digital converter module, and then the microcontroller chip processor performs formula calculations to regard the elevation and depression or reduction of the ST segment in the ECG waveform as myocardial ischemia, thereby preventing heart diseases such as myocardial infarction. This program will run automatically and automatically judge. If there is an abnormality, it will trigger the buzzer on the mainframe to work, producing a beeping sound, reminding the user to seek medical attention as soon as possible if there is an abnormality in the heart.

[0049] In the present application, the models of the analog-to-digital converter include but are not limited to ADS1292, ADS1298 and ADS1292R, wherein ADS1292R realizes the function of converting analog quantity to digital quantity through two modules; the microcontroller chip processor includes but is not limited to STM32 single-chip microcomputer processor and STM8 single-chip microcomputer processor, and the single-chip microcomputer processor can be used as long as it can realize formula calculation.

[0050] At the same time, the application protects an early warning device based on the prevention of myocardial infarction, which can realize the function of learning normal ECG data of different physical states. After purchasing the device, you need to stick it on your chest when you are in good physical condition, turn on the switch, press the learning button for five seconds, and enter the learning mode. Each learning session lasts 30 seconds, and the indicator light will change after learning, reminding you that the learning is complete. This device can learn a total of five states, including but not limited to sleeping, walking, learning, etc.

[0051] When learning, ECG data is collected through electrode stickers and the ADS1292 module that can convert analog quantities into digital quantities. The values ​​of the collected data are stored in the flash memory on the mainboard, and five segments can be stored at the same time. If there is an abnormal waveform during the collection process, the buzzer on the mainboard will be triggered to notify the abnormality. After learning, if monitoring is required, the real-time collected data will be compared with the data stored in the flash memory. If there is a large difference or an abnormal ST segment, the buzzer will be triggered to emit a beeping alarm sound. This early warning buzzer can promptly remind users of heart abnormalities, and users need to take emergency measures on their own, such as taking medicine, calling 120, or contacting family members.

[0052] All devices on the market record ECG data for 24 hours or 72 hours, without specific records, such as sleeping, walking, running, eating, studying, and working. Often myocardial infarction is triggered when running, working overtime, and staying up late. This device independently develops various states to record ECG data, strictly requires users to record various physical states, and independently develops multiple sets of physical states, corresponding ECG data heart rate, and ECG waveforms. If there is abnormal ECG data during the recording process, the device will directly trigger an alarm, even in the learning mode. When the recording is completed, if there are symptoms such as palpitations, toothache, back pain, etc., timely monitoring is carried out.

[0053] In the present application, the early warning device based on the prevention of myocardial infarction can realize the monitoring of various myocardial infarctions, including but not limited to acute inferior wall myocardial infarction, acute anterior wall myocardial infarction, acute extensive anterior wall myocardial infarction, and acute lateral wall myocardial infarction, all of which are through the positions of seven electrode stickers, that is, one electrode is the negative pole and six are the positive poles. The distribution positions include the V1 lead attached to the fourth intercostal space on the right edge of the sternum, the V2 lead attached to the fourth intercostal space on the left edge of the sternum, the V5 lead attached to the point parallel to the left anterior axillary line and the fifth intercostal space, the I lead located on the right clavicle, the II lead located on the left clavicle, and the III lead located on the right abdomen. Through these six positions, the ECG vector, the positive and negative poles of the current, and the high and low values ​​of the current can be fed back, so that different ECG waveforms can be fed back, and the waveform can be used to determine whether there is a myocardial infarction, and different positions can be used to feed back myocardial infarction in different positions.

[0054] In the present application, a method for early warning based on preventing myocardial infarction is also protected, which comprises the following steps:

[0055] S1: Paste the electrode sticker:

[0056] Tear off the electrode film at the electrode connection of the warning device and stick it on the chest. The V1 lead is attached to the fourth intercostal space on the right edge of the sternum, the V2 lead is attached to the fourth intercostal space on the left edge of the sternum, and the V5 lead is attached to the point parallel to the left anterior axillary line and the fifth intercostal space. The I lead is located on the right clavicle, the II lead is located on the left clavicle, and the III lead is located on the right abdomen.

[0057] S2: Learning physical condition:

[0058] When the body is in good condition, stick the warning device on the chest, turn on the learning button on the main unit shell, press the learning button for five seconds to enter the learning mode, the learning time is thirty seconds, and the indicator light will change after learning, reminding that the learning is completed; record normal ECG data of different body conditions, the ECG data is obtained through the electrode sticker and then through the ADS1292 module of analog-to-digital conversion, and the values ​​of the collected data are stored in the flash memory on the mainboard;

[0059] S3: Early warning device activation and signal transmission:

[0060] Turn on the switch on the mainframe shell, and feed back to the mainboard through various electrodes. The mainboard converts the collected current into digital quantity through the ADS1292 analog-to-digital module, and then processes it through the microcontroller chip processor, marking the elevation and depression or reduction of the ST segment in the ECG waveform as myocardial ischemia. If during the monitoring process, the real-time collected data is compared with the data stored in the flash memory and an abnormality is found, the buzzer will be triggered to work and emit a beeping alarm sound.

[0061] S4: Timely alarm or upload to the cloud diagnosis center platform:

[0062] The module of analog-to-digital converter in the mainboard converts the collected current into digital quantity, and then processes it through the microcontroller chip processor, marking the elevation or depression of the ST segment in the ECG waveform as myocardial ischemia;

[0063] S401: Draw a horizontal line 60-80ms after the J point of the electrocardiogram, and determine whether there is ST segment shift based on this baseline; when the ST segment is elevated, measure from the upper edge of the baseline to the upper edge of the ST segment; when the ST segment is depressed, measure from the lower edge of the baseline to the lower edge of the ST segment;

[0064] S402: Describe the leads, shape and amplitude of ST segment elevation according to the condition of ST segment elevation; for example: arched upward type, upward sloping type (with J point elevation), downward sloping type, unidirectional curve type, giant R type, tombstone type, saddle type, concave upward type, etc.

[0065] S4021: When the limb leads are ≤0.1mV, V1~V3≤0.3mV, and V4~V6≤0.1mV, ST segment elevation characterized by upward shift of the J point indicates ventricular premature repolarization if there is no clear cause; for example, in sinus rhythm, ST segment elevation with upward shift of the J point in the anterior lateral leads indicates ventricular premature repolarization. If the ST segment is arched upward, unidirectional curve, tombstone, or giant R-shaped, it can be diagnosed as lead ST segment elevation.

[0066] S4022: ST segment depression should describe the lead, morphology and amplitude of ST segment depression. The various types of ST segment depression are calculated based on the angle between the vertical line of the R wave on the electrocardiogram and the extended ST segment. When the angle is greater than 90°, it is a downward sloping type; when it is equal to 90°, it is a horizontal type; and when it is less than 90°, it is an upward sloping type. At this time, the ST segment of the lead is horizontal and depressed by 0.1mV. When the ST segment time is ≥160ms, it is called ST segment prolongation; when the ST segment time is less than 50ms, it is called ST segment shortening.

[0067] When the body is in good physical condition, the ECG waveform generated by the data can be uploaded to the mobile phone's APP through the mobile phone's Bluetooth module. The data can then be uploaded to the cloud diagnosis center platform through the APP to realize the function of cloud consultation.

[0068] This device is designed to provide simple and convenient monitoring of myocardial infarction symptoms. The degree of monitoring coverage is designed. In order to facilitate users to quickly detect, our early warning device for preventing myocardial infarction can meet the different needs of four electrodes, five electrodes and seven electrodes. Among them, the four-electrode device can realize the data of four-electrode three-lead ECG waveform, and can detect ECG changes at V1, V2 and V5 positions. It is suitable for taxi drivers and office workers. Among them, the five-electrode and seven-electrode devices are five-electrode four-lead ECG waveform data and seven-electrode six-lead ECG waveform data, respectively. These two are suitable for nursing homes and clinics. Because there are many places to attach, you can complete it independently, but the difficulty is high, and others can help to attach it. This design can be applied to a wider range of application scenarios and people. Most of the products on the market record 24-hour 72-hour ECG data, but it is meaningless to record when encountering acute myocardial infarction. This device independently develops 15-30 seconds to quickly detect ECG data. Through the algorithm independently developed by ECG data, it can quickly detect whether the ST segment is abnormal between 15-30 heart rates. If there is an abnormality, the buzzer will be triggered within 1 second to inform that it is a myocardial infarction, and the user should take emergency measures quickly. The user can also use this device for daily ECG monitoring when he is in good health and has no symptoms.

[0069] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for early warning based on preventing myocardial infarction, characterized in that: S1: Paste the electrode sticker: Tear off the electrode film at the electrode connection of the seven electrode terminals set on the early warning device and stick them on the human body; the seven electrode terminals on the early warning device are lead I, lead II, lead III, lead V1, lead V2, lead V5 and negative electrode, the V1 lead is attached to the fourth intercostal space on the right edge of the sternum, the V2 lead is attached to the fourth intercostal space on the left edge of the sternum, the V5 lead is attached to the point parallel to the left anterior axillary line and the fifth intercostal space, the I lead is located on the right clavicle, the II lead is located on the left clavicle, and the III lead is located on the right abdomen; S2: Learning physical condition: When you are in good physical condition, place the warning device on your chest, turn on the learning button (4) on the main housing (1), press the learning button to enter the learning mode, and the indicator light will change after learning is completed, reminding you that learning is complete; S3: The warning device is turned on: Turn on the switch (3) on the mainframe housing (1), and feed back data to the mainboard through various electrode terminals; S4: Signal transmission of early warning device: The module of analog-to-digital converter in the mainboard converts the collected current into digital quantity, and then processes it through the microcontroller chip processor, marking the elevation or depression of the ST segment in the ECG waveform as myocardial ischemia; S401: Draw a horizontal line 60-80ms after the J point of the electrocardiogram, and determine whether there is ST segment shift based on this baseline; when the ST segment is elevated, measure from the upper edge of the baseline to the upper edge of the ST segment; when the ST segment is depressed, measure from the lower edge of the baseline to the lower edge of the ST segment; S402: Describe the leads, morphology, and amplitude of ST segment elevation according to the condition of ST segment elevation; S4021: ST segment elevation characterized by upward shift of the J point in limb leads ≤0.1 mV, V1-V3 ≤0.3 mV, V4-V6 ≤0.1 mV, indicating premature ventricular repolarization if there is no clear cause; S4022: The various types of ST segment depression are calculated based on the angle between the vertical line of the R wave on the electrocardiogram and the extended segment of the ST segment. When the angle is greater than 90°, it is a downward sloping type; when it is equal to 90°, it is a horizontal type; and when it is less than 90°, it is an upward sloping type. At this time, the ST segment of the lead is horizontal and depressed by 0.1mV. S5: Timely alarm or upload to the cloud diagnosis center platform: During the monitoring process, if an abnormality occurs, the buzzer will alarm; When the physical condition is good, the data can be uploaded to the mobile phone APP, and then uploaded to the cloud diagnosis center platform through the APP to realize the function of cloud consultation.

2. An early warning device based on preventing myocardial infarction, used to implement an early warning method based on preventing myocardial infarction as claimed in claim 1, characterized in that: The early warning device includes an early warning module, a processing module and a power supply module; The early warning module comprises an electrode plate body (2), on which a main board and electrode terminals (8) are arranged, and the electrode terminals (8) are respectively connected to the main board; The processing module includes a main board located in the electrode plate body, the main board includes an analog-to-digital converter connected to the electrode terminal, and a microcontroller chip processor connected to the analog-to-digital converter; The power supply module comprises a switch key (3) and a battery compartment (5), and the switch key (3) and the battery compartment (5) are both located on the main machine housing (1) where the electrode plate body (2) is located.

3. The early warning device for preventing myocardial infarction according to claim 2, characterized in that: There are seven electrode terminals, four of which are connected to the electrode plate body via electrode lead extension lines, and the other three are located directly above, at the lower left, and at the lower right of the electrode plate body.

4. The early warning device for preventing myocardial infarction according to claim 2, characterized in that: A wireless communication module is also provided in the electrode plate body, and the wireless communication module is connected to the microcontroller chip processor and can realize data transmission with an external mobile phone through a Bluetooth module.

5. The early warning device for preventing myocardial infarction according to claim 2, characterized in that: The early warning module comprises a buzzer (6), an output line of the buzzer (6) is connected to a microcontroller chip processor, and the buzzer (6) is located on the front side of the host housing (1).

6. The early warning device for preventing myocardial infarction according to claim 2, characterized in that: The host housing (1) is also provided with a medicine bin (7) and a learning key (4).

7. The early warning method for preventing myocardial infarction according to claim 1, characterized in that: The early warning device in S2 can learn and record the ECG data under normal conditions of different physical conditions. The ECG data is collected through the electrode stickers and then through the analog-to-digital converter module, and the values ​​of the collected data are stored in the flash memory on the mainboard.

8. The early warning method for preventing myocardial infarction according to claim 1, characterized in that: In S3 and S4, if the real-time collected data is compared with the data stored in the flash memory on the mainboard after learning in S2 and an abnormality is found, the buzzer will be triggered to work and emit an alarm sound.

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