Electrocardiogram monitoring method and device, storage medium and electronic equipment

Abstract

The invention relates to an electrocardiogram monitoring method and device, a storage medium and electronic equipment, and relates to the technical field of electrocardiogram, and the method comprises the following steps: obtaining a target portrait of a to-be-monitored user; according to the target portrait, determining at least one suitable fitting part during electrocardiogram monitoring; determining an actual electrocardiogram of the to-be-monitored user based on each suitable fitting part, and judging whether the actual electrocardiogram is an abnormal electrocardiogram or not; if yes, acquiring actual symptoms of the to-be-monitored user, and determining whether the to-be-monitored user has a heart disease hidden danger or not based on the actual symptoms, target heart problems easily occurring when the electrocardiogram of the to-be-monitored user is abnormal and easily accompanied symptoms corresponding to each target heart problem; if it is determined that the heart disease hidden danger exists, targeted heart disease early warning is sent out. The method has the effect of improving the accuracy of electrocardiogram monitoring.

Description

Technical Field

[0001] The present application relates to the field of electrocardiogram technology, and in particular to an electrocardiogram monitoring method, device, storage medium and electronic equipment. Background Art

[0002] Electrocardiogram (ECG) is a technology that records the changes in electrical activity generated by each cardiac cycle. ECG has a wide range of clinical applications. It can help doctors diagnose various heart diseases, such as arrhythmia, myocardial infarction, myocarditis, etc. At the same time, ECG can also be used to evaluate the functional state of the heart, such as heart rate, heart rhythm, etc. For some emergency cardiac events, such as acute myocardial infarction, malignant arrhythmia, etc., ECG is an indispensable diagnostic tool. With the improvement of people's living standards and the increasing attention to health, ECG monitoring has also become an important part of the public's health monitoring anytime and anywhere.

[0003] At present, the commonly used method for ECG monitoring is: based on traditional portable ECG monitoring equipment, users with monitoring needs can conduct convenient and fast ECG testing, but traditional portable ECG monitoring equipment usually only supports multi-point single-lead cardiac electrical signal acquisition, and there are fewer electrodes attached to the user's skin. In addition, users stick the electrodes according to the universal fitting positions recommended in the instructions for use of traditional portable ECG monitoring equipment, and cannot make targeted recommendations based on the user's actual situation, resulting in poor accuracy of ECG monitoring. Summary of the invention

[0004] In order to improve the accuracy of electrocardiogram monitoring, the present application provides an electrocardiogram monitoring method, device, storage medium and electronic device.

[0005] In a first aspect of the present application, an electrocardiogram monitoring method is provided, which specifically comprises: Obtain the target profile of the user to be monitored; Determine, according to the target portrait, at least one suitable fitting part during electrocardiogram monitoring, wherein the suitable fitting part is a body part of the user to be monitored suitable for placing an electrode sheet during electrocardiogram monitoring; Based on the suitable fitting parts, determining the actual electrocardiogram of the user to be monitored, and judging whether the actual electrocardiogram is an abnormal electrocardiogram; If so, the actual symptoms of the user to be monitored are obtained, and based on the actual symptoms, the target heart problems that are likely to occur when the electrocardiogram of the user to be monitored is abnormal, and the easily associated symptoms corresponding to each of the target heart problems, it is determined whether the user to be monitored has a hidden danger of heart disease, wherein the easily associated symptoms are physical symptoms that are likely to occur when the target heart problem occurs; If it is determined that there is a risk of heart disease, a targeted heart disease warning will be issued.

[0006] By adopting the above technical solution, after obtaining the target portrait of the user to be monitored, according to the target portrait, the appropriate fitting parts of the electrode sheets with higher targeting and better adaptability are determined for the user to be monitored, and then the electrode sheets are fitted to multiple parts of the body skin according to the appropriate fitting parts, so that a more comprehensive assessment of the heart condition can be made through the electrocardiogram. Furthermore, if the actual monitored electrocardiogram is abnormal, it means that the user to be monitored may have hidden dangers of heart disease and further verification is required. Then, combined with the actual symptoms of the user to be monitored, the target heart problems and the corresponding easily accompanied symptoms are analyzed to determine whether the user to be monitored actually has hidden dangers of heart disease, so as to avoid misjudgment when the electrocardiogram is abnormal. Finally, when it is determined that there is a hidden danger of heart disease, a targeted warning is issued, thereby improving the accuracy of electrocardiogram monitoring, and then accurately assessing the heart condition of the user to be monitored.

[0007] Optionally, determining at least one suitable fitting position for electrocardiogram monitoring according to the target portrait specifically includes: Obtaining the historical posture change types of the user to be monitored at home, counting the first occurrence times of each of the historical posture change types, and selecting the first historical posture change type from each of the historical posture change types in descending order of the first occurrence times as the target posture change type; Obtaining a historical position where the contact state between the electrode sheet and the skin changes when monitoring the electrocardiogram under a single target posture change type, counting the second occurrence times of each of the historical positions, and selecting the historical position with the second number from each of the historical positions in ascending order of the second occurrence times as the contact non-changing position of the corresponding target posture change type; Calculate the first weight of each target posture change type and the second weight of each corresponding contact non-variable part, wherein the first weight is the ratio of the first occurrence number of each target posture change type to the sum of the first occurrence numbers of all target posture change types, and the second weight is the ratio of the second occurrence number of a single contact non-variable part corresponding to the target posture change type to the sum of the second occurrence numbers of all corresponding contact non-variable parts; At least one suitable fitting part is determined based on the target portrait, each of the first weights and the corresponding second weights.

[0008] By adopting the above technical solution, the greater the number of first occurrences, the more likely the monitored user will have the corresponding historical posture change type at home, and then determine the target posture change type; the smaller the number of second occurrences, the less likely the corresponding historical part and skin contact state will change under a single target posture change type. Finally, combined with the target portrait, each first weight and the corresponding second weight, an analysis is performed to determine a suitable number of suitable fitting parts that are not likely to change their contact state with the skin when the posture changes, thereby reducing interference when detecting the electrocardiogram.

[0009] Optionally, determining at least one suitable fitting part based on the target portrait, each of the first weights and the corresponding second weights specifically includes: Determining the appropriate number of fits for the user to be monitored according to the target portrait; Summarizing the contact non-changing parts corresponding to each target posture change type to obtain a part set, and intersecting the part sets to obtain overlapping parts; Determine the number of sets of parts in which each overlapping part is simultaneously located, and if the number of sets exceeds a preset number threshold, determine the corresponding overlapping part as a target part; Determine the target posture change type including the target part in the corresponding contact non-changeable parts as the key posture change type, and calculate the first product of the first weight of each key posture change type and the second weight of the corresponding same target part and sum them to obtain the corresponding sum of the first products; In order from small to large, the sum of the target first products of the suitable fitting quantity is selected from the sums of the first products, and the target part corresponding to the sum of the target first products is determined as the suitable fitting part.

[0010] By adopting the above technical solution, the smaller the first product is, the less likely the contact state of the electrode sheet on this target part will change under the corresponding key posture change type; the smaller the sum of the first products is, the less likely the contact state between the electrode sheet and the skin at the corresponding target part will change when various target posture change types occur; finally, the target part corresponding to the sum of the target first products is determined as a suitable fitting part, so that the electrode sheet pasting part is more suitable for the user to be monitored and the electrocardiogram monitoring is more accurate.

[0011] Optionally, the method further includes: If it is determined that the user to be monitored does not have a hidden danger of heart disease, determining at least one actual posture change type of the user to be monitored during a period from the start time of electrocardiogram detection to the current time; If the actual posture change type is the target posture change type and there is at least one suitable fitting part in the corresponding contact parts that are not easy to change, the corresponding actual posture change type is determined as the final posture change type; Calculating a second product of the first weight of each final posture change type and the second weight of each corresponding suitable fitting part, and summing the second products corresponding to each final posture change type to obtain a sum of the second products; If the sum of the second products is greater than a preset product sum threshold, it is successfully verified that the user to be monitored has no hidden danger of heart disease.

[0012] By adopting the above technical solution, it is determined that the user to be monitored does not have a hidden danger of heart disease, and the actual electrocardiogram detected is abnormal, which means that it is likely that the user to be monitored has a change in body posture during the continuous monitoring of the electrocardiogram, resulting in poor contact between the electrode and the skin. Further, if the sum of the second products is greater than the preset product sum threshold, it means that there is a high possibility that the contact state between the electrode and the skin of the user to be monitored has changed due to changes in posture during the entire period, and there is a high probability that the abnormality of the actual electrocardiogram detected at the current time is caused by poor contact between the electrode and the skin, thereby verifying again that the user to be monitored does not have a hidden danger of heart disease.

[0013] Optionally, the determining whether the user to be monitored has a hidden danger of heart disease based on the actual symptoms, the target heart problems that are likely to occur when the user to be monitored has an abnormal electrocardiogram, and the symptoms that are likely to accompany each of the target heart problems specifically includes: Acquire historical heart problems of the target portrait's historical monitoring user when the electrocardiogram is abnormal, count the first occurrence frequency of each of the historical heart problems, and select the third historical heart problem from each of the historical heart problems in descending order of the first occurrence frequency to determine as the target heart problem; Counting the second occurrence frequencies of the historical symptoms of the historical monitored users corresponding to the single target heart problem, and selecting the fourth number of historical symptoms from each of the historical symptoms in descending order of the second occurrence frequencies as the common accompanying symptoms of the corresponding target heart problem; Calculating a third weight of each target heart problem and a fourth weight of each corresponding symptom, wherein the third weight is a ratio of a first occurrence frequency of each target heart problem to a sum of first occurrence frequencies of all target heart problems, and the fourth weight is a ratio of a second occurrence frequency of a single symptom corresponding to the target heart problem to a sum of second occurrence frequencies of all corresponding symptom; It is determined whether the user to be monitored has a hidden danger of heart disease based on the actual symptoms, each of the third weights and the corresponding fourth weight.

[0014] By adopting the above technical solution, the higher the first occurrence frequency, the more likely the historical monitored user of the target portrait has the corresponding historical heart problem when the electrocardiogram is abnormal, thereby determining the target heart problem; the higher the second occurrence frequency, the more likely the corresponding accompanying symptoms will appear when the target heart problem occurs. Finally, combined with the actual symptoms of the user to be monitored, each third weight and the corresponding fourth weight are analyzed to determine the possibility that the user to be monitored has a heart problem, thereby accurately judging the existence of hidden heart disease risks when the electrocardiogram is abnormal.

[0015] Optionally, determining whether the user to be monitored has a hidden danger of heart disease according to the actual symptoms, each of the third weights and the corresponding fourth weight specifically includes: Determine the target cardiac problem with the actual symptom in the corresponding easily associated symptoms as the key cardiac problem, and calculate the third product of the third weight of each key cardiac problem and the fourth weight of the corresponding actual symptom; summing up the third products to obtain the sum of the third products of the corresponding key heart problems; Summing the sums of the third products to obtain a final product sum, and if the final product sum is greater than a preset product sum threshold, determining that the user to be monitored has a hidden danger of heart disease; If the final sum of the products is not greater than the product sum threshold, it is determined that the user to be monitored does not have a hidden danger of heart disease.

[0016] By adopting the above technical solution, the larger the sum of the third products is, the greater the possibility that the monitored user has the corresponding key heart problem. Furthermore, the sum of each third product is summed to obtain the final sum of products. The larger the final sum of products is, the greater the overall probability that the monitored user has heart problems, combined with the actual symptoms and electrocardiogram abnormalities. If the final sum of products is greater than the product sum threshold, it means that the overall probability that the monitored user has heart problems is high, and then it is determined that the monitored user has hidden dangers of heart disease. Conversely, it is determined that the monitored user does not have hidden dangers of heart disease, indicating that the actual electrocardiogram is abnormal, and it does not mean that the monitored user has heart problems. Finally, the correct analysis of the electrocardiogram abnormality is achieved to avoid misjudgment.

[0017] Optionally, the issuing of a targeted heart disease warning specifically includes: Selecting the maximum sum of the third products from the sums of the third products; determining the major heart problem corresponding to the sum of the largest third products as a potential heart problem, and sending the actual electrocardiogram and the potential heart problem to a terminal of a cardiologist; When feedback information from the terminal is obtained, a targeted heart disease warning is issued based on the feedback information, and the feedback information includes confirmation information and medical guidance suggestions corresponding to the hidden heart problem.

[0018] By adopting the above technical solution, the key heart problem corresponding to the sum of the largest third products is the most likely heart problem of the monitored user, and the key heart problem corresponding to the sum of the largest third products is determined to be a hidden heart problem of the monitored user. Then, the actual electrocardiogram with abnormalities and the determined hidden heart problem are sent to the terminal of the cardiologist, which can not only assist the cardiologist in making a quick judgment on the abnormalities of the actual electrocardiogram, but also verify the accuracy of the hidden heart problem. Finally, based on the feedback information, a relatively accurate warning is issued to the monitored user.

[0019] In a second aspect of the present application, an electrocardiogram monitoring device is provided, specifically comprising: A portrait acquisition module is used to obtain a target portrait of the user to be monitored; A part determination module, used to determine at least one suitable fitting part for electrocardiogram monitoring according to the target portrait, wherein the suitable fitting part is a body part of the user to be monitored suitable for placing an electrode sheet during electrocardiogram monitoring; an abnormality judgment module, used to determine the actual electrocardiogram of the user to be monitored based on each of the suitable fitting parts, and to judge whether the actual electrocardiogram is an abnormal electrocardiogram; a hidden danger judgment module, for, if yes, obtaining the actual symptoms of the user to be monitored, and determining whether the user to be monitored has hidden dangers of heart disease based on the actual symptoms, the target heart problems that are likely to occur when the electrocardiogram of the user to be monitored is abnormal, and the easily associated symptoms corresponding to each of the target heart problems, wherein the easily associated symptoms are physical symptoms that are likely to occur when the target heart problems occur; The disease warning module is used to issue targeted heart disease warnings if a risk of heart disease is determined.

[0020] By adopting the above technical solution, the portrait acquisition module obtains the target portrait of the user to be monitored, and then the part determination module determines at least one suitable fitting part for electrocardiogram monitoring based on the target portrait. Then, the abnormal judgment module determines the actual electrocardiogram of the user to be monitored based on each suitable fitting part, and determines whether the actual electrocardiogram is an abnormal electrocardiogram. Then, the hidden danger judgment module determines whether the user to be monitored has a hidden danger of heart disease when the electrocardiogram is abnormal. Finally, when the disease warning module determines that there is a hidden danger of heart disease, it issues a targeted heart disease warning.

[0021] In a third aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is loaded and executed by a processor, the method steps described in any one of the first aspects are performed.

[0022] In a fourth aspect of the present application, an electronic device is provided, specifically comprising: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the processor is used to load and execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: according to the target portrait, a more targeted and suitable fitting position of the electrode sheet is determined for the user to be monitored, and then the electrode sheet is fitted to multiple parts of the body skin according to each suitable fitting position, so that a more comprehensive assessment of the heart condition can be made through the electrocardiogram. Furthermore, if the actual monitored electrocardiogram is abnormal, it means that the user to be monitored may have hidden dangers of heart disease and needs further verification, then combined with the actual symptoms of the user to be monitored, the target heart problem and the corresponding easily associated symptoms are analyzed to determine whether the user to be monitored actually has hidden dangers of heart disease, so as to avoid misjudgment when the electrocardiogram is abnormal. Finally, when it is determined that there is a hidden danger of heart disease, a targeted warning is issued, thereby improving the accuracy of electrocardiogram monitoring, and then accurately assessing the heart condition of the user to be monitored. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of an electrocardiogram monitoring method provided in an embodiment of the present application; Figure 2 It is a flowchart of another electrocardiogram monitoring method provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electrocardiogram monitoring device provided in an embodiment of the present application; Figure 4 It is a schematic diagram of the structure of another electrocardiogram monitoring device provided in an embodiment of the present application.

[0025] Explanation of the accompanying drawings: 11. Image acquisition module; 12. Part determination module; 13. Abnormality judgment module; 14. Hidden danger judgment module; 15. Disease warning module; 16. Result verification module. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0027] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a concrete way.

[0028] In the description of the embodiments of the present application, the term "and / or" is only a kind of association relationship describing the associated objects, indicating that there may be three kinds of relationships, for example, A and / or B, which can represent: A exists alone, B exists alone, and A and B exist at the same time. In addition, unless otherwise specified, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] See also Figure 1 The present application embodiment discloses a flow chart of an electrocardiogram monitoring method, which can be implemented by a computer program or run on an electrocardiogram monitoring device based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application, specifically including: S101: Obtain a target portrait of the user to be monitored.

[0030] Specifically, in an embodiment of the present application, the user to be monitored is a user who currently needs to start continuous monitoring of the ECG condition, and the duration can be 24 hours or 12 hours. In other embodiments, the user to be monitored is a user who currently needs to briefly detect the ECG condition, and is not continuously monitored. The target portrait is the user portrait corresponding to the user to be monitored. The user portrait is a user model constructed through data analysis and mining methods based on the user's behavioral habits, interests, hobbies, physical condition and other information, so as to help better understand the corresponding user group.

[0031] In addition, the embodiment of the present application discloses an electrocardiogram monitoring method, the executor of which is a portable electrocardiogram monitoring device, which can be specifically a bracelet-type electrocardiogram monitoring device, a wearable smart device and equipped with at least one electrocardiogram sensor, which can be an ECG sensor, which can specifically contact the surface of the human body through an electrode sheet to convert the heart's electrical signals into a visual waveform, i.e., an electrocardiogram, thereby providing important information on the health of the heart. Among them, the electrode sheet can be separated from the portable electrocardiogram monitoring device and wirelessly connected. In other embodiments, it can also be integrated into the portable electrocardiogram monitoring device. One implementation scenario of the electrocardiogram monitoring method is: the user to be monitored wears this portable electrocardiogram monitoring device, and sticks the electrode sheet to various parts of the body, and then operates through the corresponding client installed in the terminal to send a command to start detection to the portable electrocardiogram monitoring device, and finally realizes the detection of electrocardiograms anytime and anywhere through convenient wear.

[0032] A feasible way to obtain the target portrait is to use the registration information of the user to be monitored on the client, which includes but is not limited to the gender, age, physical condition information of the user to be monitored. Then, this registration information is input into the preset portrait prediction model to obtain the target portrait corresponding to the user to be monitored, wherein the portrait prediction model can be a trained neural network model or a trained decision tree model. The training process can be briefly described as follows: the registration information of historical users marked with the correct user portrait is input into the model as a training sample for training until the model converges.

[0033] It should be noted that the electrode sheets are devices used to capture and record the electrical signals of the heart. These electrode sheets are usually made of conductive materials and can transmit the electrical signals generated by the heart to an electrocardiograph or other monitoring device. In the embodiment of the present application, the electrical signals generated by the heart are transmitted to a portable electrocardiograph monitoring device.

[0034] S102: Determine at least one suitable fitting position for electrocardiogram monitoring according to the target portrait.

[0035] Specifically, the appropriate number of fits corresponding to this target portrait is matched from a preset fitting number matching table, wherein the fitting number is the number of electrode patches pasted on the body of the user who is testing the electrocardiogram. The more the number of fits, the higher the accuracy and comprehensiveness of the electrocardiogram monitoring. The fitting number matching table includes different user portraits and corresponding fitting numbers. Exemplarily, the fitting number matching table includes a user portrait of a heart patient, and the corresponding number of fits is 10; the user portrait is a pregnant woman, and the corresponding number of fits is 6, and so on. Further, this target portrait is sent to the terminal of the cardiologist, and a professional cardiologist gives professional suggestions on the fitting positions of the electrode patches. According to the suggestions sent by the cardiologist's terminal, the appropriate fitting position of the appropriate number of fits during electrocardiogram monitoring is finally determined. Among them, the terminal can be a smart phone or a personal computer.

[0036] S103: Based on the appropriate fitting positions, determine the actual electrocardiogram of the user to be monitored, and judge whether the actual electrocardiogram is an abnormal electrocardiogram.

[0037] Specifically, after each suitable fitting position is determined, the user to be monitored fits the electrode sheet according to the suitable fitting position, and the portable electrocardiogram monitoring device worn by the user to be monitored obtains the electrical signal of the heart through the electrode sheet, and determines the actual electrocardiogram of the user to be monitored in real time. In other embodiments, if it is detected that the posture of the user to be monitored has changed, the electrical signal deviation problem caused by the posture change during the electrocardiogram monitoring process can also be corrected through the multimodal signal fusion mechanism, which helps to improve the accuracy of the detected electrocardiogram. Further, the actual electrocardiogram detected in real time is fitted with the preset normal electrocardiogram, specifically by fitting through the MATLAB tool, and the fitting rate is obtained. If the fitting rate does not exceed the preset fitting rate threshold, it means that the waveform similarity between the actual electrocardiogram and the normal electrocardiogram is poor, then the corresponding actual electrocardiogram is determined to be an abnormal electrocardiogram; on the contrary, if the fitting rate exceeds the fitting rate threshold, it means that the actual electrocardiogram is similar to the normal electrocardiogram waveform, then the corresponding actual electrocardiogram is determined not to be an abnormal electrocardiogram.

[0038] S104: If yes, then the actual symptoms of the user to be monitored are obtained, and based on the actual symptoms, the target heart problems that are likely to occur when the user to be monitored has an abnormal electrocardiogram, and the common accompanying symptoms corresponding to each target heart problem, it is determined whether the user to be monitored has a hidden danger of heart disease.

[0039] Specifically, the easily associated symptoms are physical symptoms that are easily associated with the target heart problem. If the actual electrocardiogram is an abnormal electrocardiogram, it means that the user to be monitored may have a hidden danger of heart disease and needs further verification. Then, through the voice collection module, the description information of the physical symptoms of the user to be monitored is collected, and then at least one actual symptom is determined. Further, based on the corresponding database of the portable electrocardiogram monitoring device, which includes monitoring data of various historical monitoring users who use such portable electrocardiogram monitoring devices, the monitoring data includes the detected electrocardiogram, the detected heart problems and adverse symptoms, etc., the historical heart problems confirmed by the historical monitoring user of the target portrait when the electrocardiogram is abnormal are obtained, and then the first occurrence frequency of each historical heart problem is counted. The higher the first occurrence frequency, the more likely the historical monitoring user of the target portrait has the corresponding historical heart problem when the electrocardiogram is abnormal. Then, according to the order of the first occurrence frequency from large to small, the historical heart problem with the third number is selected from each historical heart problem to determine as the target heart problem, that is, the heart problem that the user of the target portrait is prone to when the electrocardiogram is abnormal.

[0040] Furthermore, the second occurrence frequencies of historical symptoms that accompany the historical monitored users corresponding to a single target heart problem are counted, and the fourth number of historical symptoms is selected from each historical symptom in order of the second occurrence frequencies from large to small to be determined as the common accompanying symptom of the corresponding target heart problem, that is, the adverse symptoms that are likely to occur when the corresponding target heart problem occurs.

[0041] Furthermore, the third weight of each target heart problem and the fourth weight of each corresponding symptom are calculated, the third weight being the ratio of the first occurrence frequency of each target heart problem to the sum of the first occurrence frequencies of all target heart problems, and the fourth weight being the ratio of the second occurrence frequency of a single symptom corresponding to the target heart problem to the sum of the second occurrence frequencies of all corresponding symptom. Then, the target heart problem with at least one actual symptom among the corresponding symptom is determined as a key heart problem, the third product of the third weight of each key heart problem and the fourth weight of each corresponding actual symptom is calculated, and then the third products are summed to obtain the sum of the third products of the corresponding key heart problems. The larger the sum of the third products, the greater the possibility that the monitored user has the corresponding key heart problem.

[0042] Finally, the sum of the third products is summed to obtain the final product sum. The larger the final product sum is, the greater the overall probability that the user to be monitored has heart problems, combined with the actual symptoms and electrocardiogram abnormalities. Further, the final product sum is compared with a preset product sum threshold. If the final product sum is greater than the product sum threshold, it means that the overall probability that the user to be monitored has heart problems is high, and it is determined that the user to be monitored has hidden dangers of heart disease. Otherwise, it is determined that the user to be monitored does not have hidden dangers of heart disease, which means that the actual electrocardiogram is abnormal, and it does not mean that the user to be monitored has heart problems.

[0043] S105: If it is determined that there is a risk of heart disease, a targeted heart disease warning is issued.

[0044] Specifically, if it is determined that the user to be monitored has a hidden danger of heart disease, then it is necessary to issue a targeted heart disease warning to the user to be monitored. A feasible implementation method is: select the maximum sum of the third products from the sums of the third products, the key heart problem corresponding to the maximum sum of the third products is the heart problem that the user to be monitored is most likely to have, and the key heart problem corresponding to the maximum sum of the third products is determined to be the hidden heart problem of the user to be monitored. Then, the actual electrocardiogram with abnormalities and the determined hidden heart problem are sent to the terminal of the cardiologist, which can not only assist the cardiologist to make a quick judgment on the abnormality of the actual electrocardiogram, but also verify the accuracy of the hidden heart problem. If feedback information sent by the terminal of the cardiologist is received, the feedback information includes confirmation information of the hidden heart problem and medical guidance suggestions, then the medical guidance suggestions in the feedback information are voice broadcast to provide a targeted heart disease warning to the user to be monitored.

[0045] See also Figure 2 The present application embodiment discloses a flow chart of another electrocardiogram monitoring method, which can be implemented by a computer program or run on an electrocardiogram monitoring device based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application, specifically including: S201: Obtain a target portrait of the user to be monitored.

[0046] For details, please refer to step S101, which will not be described in detail here.

[0047] S202: Obtain historical posture change types of the user to be monitored at home, count the first occurrence times of each historical posture change type, and select the first historical posture change type from each historical posture change type in descending order of the first occurrence times as the target posture change type.

[0048] S203: Obtain historical locations where the contact status between the electrode and the skin changes when monitoring the electrocardiogram under a single target posture change type, count the second occurrence times of each historical location, and select the second historical location from each historical location in order of the second occurrence times from the smallest to the largest, and determine it as the contact non-changing location of the corresponding target posture change type.

[0049] S204: Calculate the first weight of each target posture change type and the second weight of each corresponding contact non-changeable part.

[0050] S205: Determine at least one suitable fitting part based on the target portrait, each first weight and the corresponding second weight.

[0051] Specifically, after the target portrait of the user to be monitored is determined, at least one suitable fitting part of the user to be monitored during electrocardiogram monitoring is determined according to the target portrait. The suitable fitting part is the body part where the electrode sheet is placed by the user to be monitored during electrocardiogram monitoring. In an embodiment of the present application, a feasible determination method is: obtaining the historical posture change type of the user to be monitored at home, the historical posture change type is a plurality of posture change types of the user to be monitored in the past preset time, the posture change type includes but is not limited to the change type between lying and standing posture, the change type between standing and squatting posture, etc., and the posture change of the user to be monitored can be captured by an infrared sensor. Among them, the preset time is 1 month or 3 months. Then count the first occurrence number of each historical posture change type, the larger the first occurrence number, the easier it is for the user to be monitored to have the corresponding historical posture change type at home, and select the preset first number of historical posture change types from each historical posture change type in the order from large to small according to the first occurrence number, and determine it as the target posture change type, that is, the posture change type that is easy to appear at home. Exemplarily, the user to be monitored is a pregnant woman, and because she needs to go to the toilet frequently, the posture change type that is easy to appear at home may be the change type between standing and squatting posture.

[0052] Furthermore, the historical parts where the contact state between the electrode sheet and the skin changes when the monitored user monitors the electrocardiogram under a single target posture change type are obtained. The change in contact state means that the position of the electrode sheet on the skin moves or becomes loose, and there is a risk of deviation in the detected electrical signal. The second occurrence number of each historical part is counted. The smaller the second occurrence number, the less likely the contact state between the corresponding historical part and the skin will change under a single target posture change type. Then, in order of the second occurrence number from small to large, the historical part with the preset second number is selected from each historical part to determine it as the contact part that is not easy to change under the corresponding target posture change type, that is, the fitting part where the contact state between the electrode sheet and the skin is not easy to change under the corresponding target posture change type.

[0053] Furthermore, the first weight of each target posture change type and the second weight of each corresponding contact non-variable part are calculated, wherein the first weight is the ratio of the first occurrence number of each target posture change type to the sum of the first occurrence number of all target posture change types, and the second weight is the ratio of the second occurrence number of a single contact non-variable part corresponding to the target posture change type to the sum of the second occurrence number of all corresponding contact non-variable parts.

[0054] Furthermore, the appropriate number of stickings corresponding to the target portrait is matched from a preset sticking number matching table, wherein the sticking number is the number of electrode sheets pasted on the body of the user who is testing the electrocardiogram, and the more sticking numbers are, the higher the accuracy and comprehensiveness of the electrocardiogram monitoring is. The sticking number matching table includes different user portraits and corresponding sticking numbers.

[0055] Then, the contact hard-to-change parts corresponding to each target posture change type are summarized to obtain a part set, and the intersection of each part set is performed to obtain an overlapping part, and then the number of sets of parts in which each overlapping part is simultaneously located is counted. The more the number of sets, the more corresponding overlapping parts exist in the contact hard-to-change parts corresponding to the target posture change type. If the number of sets exceeds the preset number threshold, the corresponding overlapping part is determined as the target part. Further, the target posture change type containing this target part in each corresponding contact hard-to-change part is determined as the key posture change type, and then the first product of the first weight of each key posture change type and the second weight of the corresponding same target part is calculated and summed to obtain the sum of the first products of the corresponding target part. The smaller the first product, the less likely the contact state of the electrode sheet on this target part is to change under the corresponding key posture change type, and the smaller the sum of the first products, the less likely the contact state of the electrode sheet of the corresponding target part and the skin is to change when the target posture change type occurs. Finally, in order from small to large, the sum of the target first products with an appropriate number of fits is selected from the sums of the first products, and the target parts corresponding to the sums of the target first products, that is, the parts where the overall contact state is not easy to change for various posture changes that may occur in the monitored user, are determined as suitable fitting parts. The electrode sheet is pasted on this suitable fitting part, which makes it less likely that the electrode sheet will have poor contact with the skin and cause deviations in the electrical signal, ultimately affecting the monitoring of the electrocardiogram.

[0056] S206: Based on the appropriate fitting positions, determine the actual electrocardiogram of the user to be monitored, and judge whether the actual electrocardiogram is an abnormal electrocardiogram.

[0057] S207: If yes, then obtain the actual symptoms of the user to be monitored, and determine whether the user to be monitored has a hidden danger of heart disease based on the actual symptoms, the target heart problems that are likely to occur when the user to be monitored has an abnormal electrocardiogram, and the common accompanying symptoms corresponding to each target heart problem.

[0058] S208: If it is determined that there is a risk of heart disease, a targeted heart disease warning is issued.

[0059] For details, please refer to steps S103-S105, which will not be described in detail here.

[0060] In other embodiments, if it is determined that the monitored user has no hidden dangers of heart disease, but the actual electrocardiogram detected is abnormal, it means that there is a high probability that the body posture of the monitored user has changed during the continuous monitoring of the electrocardiogram, resulting in poor contact between the electrode and the skin, deviation or distortion of the electrical signal, and abnormality in the actual electrocardiogram. Then, at least one actual posture change type that occurs in the period from the start of electrocardiogram monitoring of the user to be monitored to the current time is determined. The determination method can specifically monitor the posture changes through an infrared sensor, and then determine the actual posture change type.

[0061] Furthermore, if the actual posture change type is the target posture change type, and there is at least one suitable fitting part in the corresponding contact parts that are not easy to change, then the corresponding actual posture change type is determined as the final posture change type, and then the second product of the first weight of each final posture change type and the second weight of each corresponding suitable fitting part is calculated, and the second products corresponding to all the final posture change types are summed to obtain the sum of the second products. The larger the sum of the second products, the greater the possibility that the contact state between the electrode sheet and the skin of the monitored user changes due to posture changes. If the sum of the second products is greater than the preset product sum threshold, it means that the possibility of the contact state between the electrode sheet and the skin of the monitored user changing due to posture changes during the entire period is relatively high, and the probability that the abnormality of the actual electrocardiogram detected at the current time is caused by poor contact between the electrode sheet and the skin is relatively high, thereby verifying again that the monitored user does not have a hidden danger of heart disease.

[0062] The implementation principle of an electrocardiogram monitoring method in an embodiment of the present application is as follows: according to the target portrait, a more targeted and more suitable fitting position of the electrode sheet is determined for the user to be monitored, and then the electrode sheet is fitted to multiple parts of the body skin according to each suitable fitting position, so that a more comprehensive assessment of the heart condition can be made through the electrocardiogram. Furthermore, if the actual monitored electrocardiogram is abnormal, it means that the user to be monitored may have a hidden danger of heart disease and needs further verification, then combined with the actual symptoms of the user to be monitored, the target heart problem and the corresponding easily associated symptoms, it is analyzed to determine whether the user to be monitored actually has a hidden danger of heart disease, so as to avoid misjudgment when the electrocardiogram is abnormal. Finally, when it is determined that there is a hidden danger of heart disease, a targeted early warning is issued, thereby improving the accuracy of electrocardiogram monitoring, and then accurately assessing the heart condition of the user to be monitored.

[0063] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0064] See also Figure 3 , which is a schematic diagram of the structure of the electrocardiogram monitoring device provided in the embodiment of the present application. The application in the electrocardiogram monitoring device can be realized as all or part of the device through software, hardware or a combination of both. The device includes an image acquisition module 11, a part determination module 12, an abnormality judgment module 13, a hidden danger judgment module 14 and a disease warning module 15.

[0065] A portrait acquisition module 11 is used to acquire a target portrait of the user to be monitored; A part determination module 12 is used to determine at least one suitable fitting part for electrocardiogram monitoring according to the target portrait, where the suitable fitting part is a body part of the user to be monitored suitable for placing the electrode sheet during electrocardiogram monitoring; The abnormality judgment module 13 is used to determine the actual electrocardiogram of the user to be monitored based on each suitable fitting part, and judge whether the actual electrocardiogram is an abnormal electrocardiogram; a hidden danger judgment module 14, for obtaining the actual symptoms of the user to be monitored, and determining whether the user to be monitored has hidden dangers of heart disease based on the actual symptoms, the target heart problems that are likely to occur when the electrocardiogram of the user to be monitored is abnormal, and the easily associated symptoms corresponding to each target heart problem, wherein the easily associated symptoms are the physical symptoms that are likely to occur when the target heart problem occurs; The disease warning module 15 is used to issue a targeted heart disease warning if it is determined that there is a hidden danger of heart disease.

[0066] Optionally, the location determination module 12 is specifically configured to: Obtain the historical posture change types of the user to be monitored at home, count the first occurrence times of each historical posture change type, and select the first historical posture change type from each historical posture change type in descending order of the first occurrence times as the target posture change type; Obtain the historical parts where the contact state between the electrode sheet and the skin changes when monitoring the electrocardiogram under a single target posture change type, count the second occurrence times of each historical part, and select the second historical part from each historical part in the order of the second occurrence times from small to large to determine it as the contact non-changing part of the corresponding target posture change type; Calculate the first weight of each target posture change type and the second weight of each corresponding contact non-variable part, the first weight being the ratio of the first occurrence number of each target posture change type to the sum of the first occurrence numbers of all target posture change types, and the second weight being the ratio of the second occurrence number of a single contact non-variable part corresponding to the target posture change type to the sum of the second occurrence numbers of all corresponding contact non-variable parts; At least one suitable fitting part is determined based on the target portrait, each first weight and the corresponding second weight.

[0067] Optionally, the location determination module 12 is specifically configured to: Determine the appropriate number of fits for the users to be monitored based on the target profile; The contact non-changing parts corresponding to each target posture change type are summarized to obtain a part set, and the part sets are intersected to obtain overlapping parts; Determine the number of sets of part sets that each overlapping part is in at the same time, and if the number of sets exceeds a preset number threshold, determine the corresponding overlapping part as the target part; Determine the target posture change type including the target part in the corresponding contact non-changeable parts as the key posture change type, and calculate the first product of the first weight of each key posture change type and the second weight of the corresponding same target part and sum them to obtain the corresponding sum of the first products; In order from small to large, a target sum of first products of a suitable fitting quantity is selected from the sums of the first products, and a target part corresponding to the sum of the first products is determined as a suitable fitting part.

[0068] Optional, such as Figure 4 As shown, the device also includes a result verification module 16, which is specifically used to: If it is determined that the user to be monitored does not have a hidden danger of heart disease, determining at least one actual posture change type of the user to be monitored during the period from the start time of electrocardiogram detection to the current time; If the actual posture change type is the target posture change type and there is at least one suitable fitting part in each corresponding contact non-changeable part, the corresponding actual posture change type is determined as the final posture change type; Calculating the second product of the first weight of each final posture change type and the second weight of each corresponding suitable fitting part, and summing the second products corresponding to each final posture change type to obtain the sum of the second products; If the sum of the second products is greater than a preset product sum threshold, it is successfully verified that the monitored user has no hidden dangers of heart disease.

[0069] Optionally, the hidden danger judgment module 14 is specifically used for: Obtain the historical heart problems of the target profile's historical monitoring user when the electrocardiogram is abnormal, count the first occurrence frequency of each historical heart problem, and select the third-numbered historical heart problem from each historical heart problem in descending order of the first occurrence frequency to determine as the target heart problem; Counting the second occurrence frequencies of historical symptoms of historical monitoring users corresponding to a single target heart problem, and selecting the fourth number of historical symptoms from each historical symptom in descending order of the second occurrence frequencies as the common accompanying symptom of the corresponding target heart problem; Calculate the third weight of each target heart problem and the fourth weight of each corresponding symptom, the third weight being the ratio of the first occurrence frequency of each target heart problem to the sum of the first occurrence frequencies of all target heart problems, and the fourth weight being the ratio of the second occurrence frequency of a single symptom corresponding to the target heart problem to the sum of the second occurrence frequencies of all corresponding symptom; Based on the actual symptoms, each third weight and the corresponding fourth weight, it is determined whether the user to be monitored has a hidden danger of heart disease.

[0070] Optionally, the hidden danger judgment module 14 is specifically used for: Determine the target heart problem with actual symptoms among the corresponding easily associated symptoms as the key heart problem, and calculate the third product of the third weight of each key heart problem and the fourth weight of the corresponding actual symptoms; The third products are summed to obtain the sum of the third products of the corresponding key heart problems; The sum of the third products is summed to obtain a final product sum. If the final product sum is greater than a preset product sum threshold, it is determined that the user to be monitored has a risk of heart disease. If the final sum of the products is not greater than the product sum threshold, it is determined that the user to be monitored does not have a hidden danger of heart disease.

[0071] Optionally, the disease early warning module 15 is specifically used for: Select the maximum sum of third products from the sums of the third products; determining the key heart problem corresponding to the sum of the largest third products as a hidden heart problem, and sending the actual electrocardiogram and the hidden heart problem to a terminal of a cardiologist; When feedback information is obtained from the terminal, a targeted heart disease warning is issued based on the feedback information. The feedback information includes confirmation information and medical guidance suggestions corresponding to the hidden heart problems.

[0072] It should be noted that the electrocardiogram monitoring device provided in the above embodiment only uses the division of the above functional modules as an example when executing the electrocardiogram monitoring method. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the electrocardiogram monitoring device provided in the above embodiment and the electrocardiogram monitoring method embodiment belong to the same concept, and the implementation process thereof is detailed in the method embodiment, which will not be repeated here.

[0073] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, an electrocardiogram monitoring method of the above embodiment is adopted.

[0074] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above-mentioned components.

[0075] Among them, through this computer-readable storage medium, an electrocardiogram monitoring method of the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0076] An embodiment of the present application also discloses an electronic device, in which a computer program is stored in a computer-readable storage medium, and when the computer program is loaded and executed by a processor, the above-mentioned electrocardiogram monitoring method is adopted.

[0077] The electronic device may be a desktop computer, a laptop computer, a cloud server or other electronic device, and the electronic device includes but is not limited to a processor and a memory. For example, the electronic device may also include input and output devices, a network access device, and a bus.

[0078] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0079] Among them, the memory can be an internal storage unit of the electronic device, such as a hard disk or memory of the electronic device, or it can be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the electronic device. Moreover, the memory can also be a combination of an internal storage unit and an external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or is to be output, and this application does not impose any restrictions on this.

[0080] Among them, through this electronic device, an electrocardiogram monitoring method of the above embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device, which is convenient for use.

[0081] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An electrocardiogram monitoring method, characterized in that: Applied to a portable electrocardiogram monitoring device, the method comprises: Obtain the target profile of the user to be monitored; Determine, according to the target portrait, at least one suitable fitting part during electrocardiogram monitoring, wherein the suitable fitting part is a body part of the user to be monitored suitable for placing an electrode sheet during electrocardiogram monitoring; Based on the suitable fitting parts, determining the actual electrocardiogram of the user to be monitored, and judging whether the actual electrocardiogram is an abnormal electrocardiogram; If so, the actual symptoms of the user to be monitored are obtained, and based on the actual symptoms, the target heart problems that are likely to occur when the electrocardiogram of the user to be monitored is abnormal, and the easily associated symptoms corresponding to each of the target heart problems, it is determined whether the user to be monitored has a hidden danger of heart disease, wherein the easily associated symptoms are physical symptoms that are likely to occur when the target heart problem occurs; If it is determined that there is a risk of heart disease, a targeted heart disease warning will be issued.

2. The electrocardiogram monitoring method according to claim 1, characterized in that: Determining at least one suitable fitting position for electrocardiogram monitoring according to the target portrait specifically includes: Obtaining the historical posture change types of the user to be monitored at home, counting the first occurrence times of each of the historical posture change types, and selecting the first historical posture change type from each of the historical posture change types in descending order of the first occurrence times as the target posture change type; Obtaining a historical position where the contact state between the electrode sheet and the skin changes when monitoring the electrocardiogram under a single target posture change type, counting the second occurrence times of each of the historical positions, and selecting the historical position with the second number from each of the historical positions in ascending order of the second occurrence times as the contact non-changing position of the corresponding target posture change type; Calculate the first weight of each target posture change type and the second weight of each corresponding contact non-variable part, wherein the first weight is the ratio of the first occurrence number of each target posture change type to the sum of the first occurrence numbers of all target posture change types, and the second weight is the ratio of the second occurrence number of a single contact non-variable part corresponding to the target posture change type to the sum of the second occurrence numbers of all corresponding contact non-variable parts; At least one suitable fitting part is determined based on the target portrait, each of the first weights and the corresponding second weights.

3. The electrocardiogram monitoring method according to claim 2, characterized in that: The determining at least one suitable fitting part based on the target portrait, each of the first weights and the corresponding second weights specifically includes: Determining the appropriate number of fits for the user to be monitored according to the target portrait; Summarizing the contact non-changing parts corresponding to each target posture change type to obtain a part set, and intersecting the part sets to obtain overlapping parts; Determine the number of sets of parts in which each overlapping part is simultaneously located, and if the number of sets exceeds a preset number threshold, determine the corresponding overlapping part as a target part; Determine the target posture change type including the target part in the corresponding contact non-changeable parts as the key posture change type, and calculate the first product of the first weight of each key posture change type and the second weight of the corresponding same target part and sum them to obtain the corresponding sum of the first products; In order from small to large, the sum of the target first products of the suitable fitting quantity is selected from the sums of the first products, and the target part corresponding to the sum of the target first products is determined as the suitable fitting part.

4. The electrocardiogram monitoring method according to claim 3, characterized in that: The method further comprises: If it is determined that the user to be monitored does not have a hidden danger of heart disease, determining at least one actual posture change type of the user to be monitored during a period from the start time of electrocardiogram detection to the current time; If the actual posture change type is the target posture change type and there is at least one suitable fitting part in the corresponding contact parts that are not easy to change, the corresponding actual posture change type is determined as the final posture change type; Calculating a second product of the first weight of each final posture change type and the second weight of each corresponding suitable fitting part, and summing the second products corresponding to each final posture change type to obtain a sum of the second products; If the sum of the second products is greater than a preset product sum threshold, it is successfully verified that the user to be monitored has no hidden danger of heart disease.

5. The electrocardiogram monitoring method according to claim 1, characterized in that: The determining whether the user to be monitored has a hidden danger of heart disease based on the actual symptoms, the target heart problems that are likely to occur when the user to be monitored has an abnormal electrocardiogram, and the symptoms that are likely to accompany each of the target heart problems specifically includes: Acquire historical heart problems of the target portrait's historical monitoring user when the electrocardiogram is abnormal, count the first occurrence frequency of each of the historical heart problems, and select the third historical heart problem from each of the historical heart problems in descending order of the first occurrence frequency to determine as the target heart problem; Counting the second occurrence frequencies of the historical symptoms of the historical monitored users corresponding to the single target heart problem, and selecting the fourth number of historical symptoms from each of the historical symptoms in descending order of the second occurrence frequencies as the common accompanying symptoms of the corresponding target heart problem; Calculating a third weight of each target heart problem and a fourth weight of each corresponding symptom, wherein the third weight is a ratio of a first occurrence frequency of each target heart problem to a sum of first occurrence frequencies of all target heart problems, and the fourth weight is a ratio of a second occurrence frequency of a single symptom corresponding to the target heart problem to a sum of second occurrence frequencies of all corresponding symptom; It is determined whether the user to be monitored has a hidden danger of heart disease based on the actual symptoms, each of the third weights and the corresponding fourth weight.

6. The electrocardiogram monitoring method according to claim 5, characterized in that: The determining, based on the actual symptoms, each of the third weights and the corresponding fourth weight, whether the user to be monitored has a hidden danger of heart disease specifically includes: Determine the target cardiac problem with the actual symptom in the corresponding easily associated symptoms as the key cardiac problem, and calculate the third product of the third weight of each key cardiac problem and the fourth weight of the corresponding actual symptom; summing up the third products to obtain the sum of the third products of the corresponding key heart problems; Summing the sums of the third products to obtain a final product sum, and if the final product sum is greater than a preset product sum threshold, determining that the user to be monitored has a hidden danger of heart disease; If the final sum of the products is not greater than the product sum threshold, it is determined that the user to be monitored does not have a hidden danger of heart disease.

7. The electrocardiogram monitoring method according to claim 6, characterized in that: The targeted early warning of heart disease includes: Selecting the maximum sum of the third products from the sums of the third products; determining the major heart problem corresponding to the sum of the largest third products as a potential heart problem, and sending the actual electrocardiogram and the potential heart problem to a terminal of a cardiologist; When feedback information from the terminal is obtained, a targeted heart disease warning is issued based on the feedback information, and the feedback information includes confirmation information and medical guidance suggestions corresponding to the hidden heart problem.

8. An electrocardiogram monitoring device, characterized in that: include: A portrait acquisition module (11), used to acquire a target portrait of the user to be monitored; A part determination module (12) is used to determine at least one suitable fitting part for electrocardiogram monitoring according to the target portrait, wherein the suitable fitting part is a body part of the user to be monitored suitable for placing an electrode sheet during electrocardiogram monitoring; an abnormality judgment module (13), used to determine the actual electrocardiogram of the user to be monitored based on each of the suitable fitting parts, and to judge whether the actual electrocardiogram is an abnormal electrocardiogram; a hidden danger judgment module (14), for obtaining the actual symptoms of the user to be monitored, and determining whether the user to be monitored has a hidden danger of heart disease based on the actual symptoms, the target heart problems that are likely to occur when the electrocardiogram of the user to be monitored is abnormal, and the easily associated symptoms corresponding to each of the target heart problems, wherein the easily associated symptoms are physical symptoms that are likely to occur when the target heart problem occurs; The disease warning module (15) is used to issue a targeted heart disease warning if it is determined that there is a hidden danger of heart disease.

9. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by a processor, the method according to any one of claims 1 to 7 is adopted.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor loads and executes the computer program, the method according to any one of claims 1 to 7 is adopted.

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