An electrocardiosignal recognition method, device, equipment and storage medium

Abstract

The application provides an electrocardiosignal recognition method, device and equipment and a storage medium, relates to the technical field of medical equipment, and a specific implementation scheme is as follows: acquiring electrocardiosignals collected by multiple electrocardiosensing electrode needles of a cardiac defibrillation device for single cardiac electrical activity of a patient; determining an electrocardio conduction sequence corresponding to all electrode arrangement positions based on collection time information of the multiple electrocardiosignals; and outputting a patient cardiac rhythm event type according to at least the electrocardio conduction sequence. Through implementation of the application, electrocardiosignals are collected based on multiple leads of different patient cardiac parts, and then a patient cardiac rhythm event is recognized according to the electrocardio conduction sequence, so that malignant cardiac rhythm events can be effectively and accurately identified, the probability of improper electric shock of the cardiac defibrillation device is reduced, and the negative influence of improper or unnecessary discharge of the cardiac defibrillation device on the health of the patient is avoided to the greatest extent.

Description

Technical Field

[0001] This application relates to the field of medical device technology, and more particularly to the field of electrocardiogram (ECG) monitoring technology, applicable to ECG signal recognition scenarios. More specifically, this application discloses an ECG signal recognition method, apparatus, device, and storage medium. Background Technology

[0002] Cardiac defibrillators are used to automatically monitor a patient's heart rhythm. When a life-threatening ventricular fibrillation (VF) or ventricular tachycardia (VT) is detected, the cardiac defibrillator delivers a momentary high voltage, causing a certain current to flow through the patient's myocardium to eliminate the ventricular tachycardia or fibrillation.

[0003] Currently, cardiac defibrillation devices typically identify a patient's heart rhythm based on electrocardiogram (ECG) signals acquired through a single lead. However, the information provided by ECG signals acquired through a single lead is relatively limited and prone to interference, which can easily lead to misidentification of malignant rhythms, increasing the rate of inappropriate shocks and thus negatively impacting the patient's health.

[0004] It is important to note that the techniques described in this section are not necessarily those previously conceived or adopted. Unless otherwise specified, no technique described in this section should be assumed to be prior art simply because it is included in this section. Similarly, unless otherwise specified, the issues mentioned in this section should not be considered to be recognized in any prior art. Summary of the Invention

[0005] The main objective of this application is to provide a method, device, equipment, and storage medium for electrocardiogram (ECG) signal recognition, which can at least solve the problems of easy misidentification of malignant arrhythmias and a high rate of inappropriate shocks caused by ECG signal recognition based on a single lead in related technologies.

[0006] The first aspect of this application provides a method for identifying electrocardiogram (ECG) signals, applied to a cardiac defibrillator. The cardiac defibrillator includes multiple ECG sensing electrodes placed at multiple different electrode placement locations on a patient's heart. The ECG signal identification method includes: acquiring ECG signals collected by the multiple ECG sensing electrodes for a single cardiac electrical activity of the patient; determining the ECG conduction sequence corresponding to all electrode placement locations based on the acquisition time information of the multiple ECG signals; and outputting the patient's cardiac rhythm event type at least according to the ECG conduction sequence.

[0007] A second aspect of this application provides an electrocardiogram (ECG) signal recognition device for use in a cardiac defibrillation device. The cardiac defibrillation device includes multiple ECG sensing electrodes placed at multiple different electrode placement positions on a patient's heart. The ECG signal recognition device includes: an acquisition module for acquiring ECG signals collected by the multiple ECG sensing electrodes in response to a single cardiac electrical activity of the patient; a determination module for determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of the multiple ECG signals; and an output module for outputting the patient's cardiac rhythm event type at least according to the ECG conduction sequence.

[0008] A third aspect of this application provides a cardiac defibrillation device, comprising: a plurality of electrocardiogram (ECG) sensing electrodes, a memory, and a processor. The plurality of ECG sensing electrodes are placed at multiple different electrode placement locations on a patient's heart. The ECG sensing electrodes are used to collect ECG signals for a single instance of cardiac electrical activity. The processor is used to execute a computer program stored in the memory. When the processor executes the computer program, it implements the steps of the ECG signal recognition method provided in the first aspect of the embodiments of this application.

[0009] The fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the steps of the electrocardiogram signal recognition method provided in the first aspect of the embodiments of this application.

[0010] As can be seen from the above, the ECG signal recognition method, device, equipment, and storage medium provided in this application acquire ECG signals collected by multiple ECG sensing electrodes of a cardiac defibrillator in response to a patient's single cardiac electrical activity; determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals; and output the patient's arrhythmic event type based at least on the ECG conduction sequence. Through the implementation of this application, ECG signals are acquired using multiple leads at different locations of the patient's heart, and then the patient's arrhythmic events are identified based on the ECG conduction sequence. This allows for more effective and accurate identification of malignant arrhythmic events, reduces the probability of inappropriate shocks from the cardiac defibrillator, and minimizes the negative impact of inappropriate or unnecessary discharges from the cardiac defibrillator on the patient's health.

[0011] It should be understood that the description in this section is not intended to identify key or important features of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0012] The accompanying drawings exemplify embodiments and form part of the specification, working together with the textual description to explain exemplary implementations of the embodiments. The drawings shown are for illustrative purposes only and do not limit the scope of the claims. Throughout the drawings, the same reference numerals refer to similar but not necessarily identical elements.

[0013] Figure 1 This is a schematic diagram illustrating the electrode setting principle according to an embodiment of this application;

[0014] Figure 2 This is a schematic diagram of the basic flowchart of an electrocardiogram signal recognition method provided in an embodiment of this application;

[0015] Figure 3 A schematic diagram of an electrocardiogram signal provided in one embodiment of this application;

[0016] Figure 4 A detailed flowchart illustrating an embodiment of the electrocardiogram signal recognition method provided in this application;

[0017] Figure 5 This is a schematic diagram of the functional modules of an electrocardiogram signal recognition device provided in an embodiment of this application;

[0018] Figure 6 This is a schematic diagram of the structure of a cardiac defibrillator provided in an embodiment of this application. Detailed Implementation

[0019] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] In the description of the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of this application, the term "multiple" means two or more, unless otherwise explicitly specified.

[0021] To address the problems of misidentification of malignant arrhythmias and a high rate of inappropriate shocks caused by single-lead ECG signal recognition in existing defibrillation devices, this application provides an ECG signal recognition method applied to a defibrillation device. The defibrillation device includes multiple ECG sensing electrodes placed at various locations on the patient's heart. For example, the defibrillation device in this embodiment can be an implantable defibrillator, comprising an implantable main unit and electrode leads. Whether implanted inside the patient's heart or subcutaneously, the electrode leads can include a defibrillation coil, ECG sensing electrodes, and leads. Figure 1 The diagram shown illustrates an electrode placement principle provided in this embodiment. Unlike methods where only one ECG sensing electrode is placed at each electrode placement location, preferably, multiple ECG sensing electrodes can be divided into multiple groups. Each group can, for example, include two ECG sensing electrodes. Multiple ECG sensing electrodes from the same group are placed in multiple subdivided electrode placement locations within the same electrode placement location. That is, the electrode placement location can be understood as a region, and the subdivided electrode placement locations can be understood as specific locations within that region. For example… Figure 1 The central electrocardiogram sensing electrodes A and C are arranged as a group, respectively at subdivision electrode arrangement positions 1 and 2 of electrode arrangement position 1, while the electrocardiogram sensing electrodes B and D are arranged as a group, respectively at subdivision electrode arrangement positions 1 and 2 of electrode arrangement position 2.

[0022] like Figure 2 This is a basic flowchart of the electrocardiogram (ECG) signal recognition method provided in this embodiment. The ECG signal recognition method includes the following steps:

[0023] Step 201: Acquire ECG signals from multiple ECG sensing electrodes for a single instance of cardiac electrical activity in the patient.

[0024] First, this embodiment explains the patient's cardiac electrical activity. The normal sequence of cardiac electrical conduction is as follows: the electrical impulse originates from the sinoatrial node (SA node). The electrical impulse from the SA node is conducted downwards along the internodal tracts, that is, the internodal tracts between the SA node and the atrioventricular node, to the atrioventricular node. Next, there is a slight pause at the atrioventricular node, which allows blood in the atria to enter the ventricles as much as possible. Subsequently, the electrical impulse continues to conduct downwards from the atrioventricular node to the two bundle branches on the left and right sides, called the right bundle branch and the left bundle branch, respectively. The left bundle branch is further divided into the left anterior branch and the left posterior branch. After being conducted to the bundle branches on both sides, many small branches branch off from the bundle branches. These small branches are called Purkinje fibers. The electrical impulse is then conducted to all Purkinje fibers, which interweave into a network. This network allows the entire heart to contract.

[0025] In this embodiment, electrocardiogram (ECG) sensing electrodes are installed at different locations on the patient's heart. When the heart generates electrical activity, the corresponding ECG sensing electrodes at the relevant heart locations can detect the ECG signal, such as... Figure 3 The diagram shown is a schematic diagram of an electrocardiogram (ECG) signal provided in this embodiment, illustrating the ECG signals collected from different parts of the heart. In the diagram, L1, aVF, V1... represent different parts of the heart. It should be understood that in practical applications, the order of the intracardiac imaging recording channels follows the principle of top to bottom and from near to far.

[0026] In an optional embodiment of this example, before the step of acquiring the ECG signals collected by multiple ECG sensing electrodes for a single instance of a patient's cardiac electrical activity, the method further includes: acquiring an ECG monitoring scenario corresponding to the patient; wherein, the ECG monitoring scenario includes: a medication scenario, an exercise scenario, and a resting scenario. Accordingly, the step of acquiring the ECG signals collected by multiple ECG sensing electrodes for a single instance of a patient's cardiac electrical activity includes: selecting multiple target ECG sensing electrodes from all ECG sensing electrodes according to the ECG monitoring scenario; and acquiring the ECG signals collected by the multiple target ECG sensing electrodes for a single instance of a patient's cardiac electrical activity.

[0027] Specifically, the states of different patients using cardiac defibrillators vary, and the states of the same patient using cardiac defibrillators at different times are also flexible and changeable. In other words, the ECG monitoring scenarios are diverse. For different ECG monitoring scenarios, this embodiment adaptively selects multiple target ECG sensing electrodes from multiple ECG sensing electrodes with different electrode placement positions to collect ECG signals for subsequent determination of the ECG conduction sequence. On the one hand, the reference value of ECG signals from different parts of the heart varies under different ECG monitoring scenarios. On the other hand, using ECG signals from all parts of the heart for processing in any ECG monitoring scenario would result in a large amount of data processing. Based on this, this embodiment adaptively selects ECG signals based on the ECG monitoring scenario for subsequent data processing, which can reduce the amount of data processing while ensuring the accuracy of the ECG conduction sequence.

[0028] Step 202: Determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals.

[0029] Specifically, in this embodiment, when an electrocardiogram (ECG) signal is acquired, each ECG signal is associated with a corresponding electrode identifier and acquisition time information. The electrode identifier corresponds to an electrode placement position. Therefore, based on the ECG acquisition time information of different electrode positions, the ECG conduction sequence can be obtained, which can characterize the development sequence of cardiac electrical activity. It should be noted that the acquisition time information in this embodiment can be a timestamp created corresponding to the acquisition event of each ECG signal.

[0030] In one optional embodiment of this invention, multiple ECG sensing electrodes are divided into multiple groups, and multiple ECG sensing electrodes in the same group are placed in multiple subdivided electrode placement positions within the same electrode placement location. Accordingly, the step of determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals includes: determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of ECG signals acquired by at least one ECG sensing electrode at each electrode placement position.

[0031] Specifically, in this embodiment, an ECG sensing electrode is set at each of the different subdivided electrode placement positions of each electrode placement position. That is, each electrode placement position has multiple ECG sensing electrodes. In practical applications, multi-lead single-position can collect more comprehensive ECG signals and avoid the failure of a single electrode placement position to effectively collect ECG signals due to objective factors in single-lead scenarios. This can improve the effectiveness and accuracy of determining the ECG conduction sequence.

[0032] In one optional embodiment of this example, the step of determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals includes: matching all ECG signals acquired by different ECG sensing electrodes to extract the same rhythm ECG signals acquired by different ECG sensing electrodes; and determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple same rhythm ECG signals corresponding to different ECG sensing electrodes.

[0033] Specifically, in practical applications, the patient's cardiac electrical activity is in a continuous state, and each ECG sensing electrode in different parts of the heart will collect multiple ECG signals. In order to ensure that the same ECG signal is targeted when determining the ECG conduction sequence, this embodiment will match the same ECG signal collected by different ECG sensing electrodes according to the rhythm value. The ECG conduction sequence determined based on this can effectively ensure accuracy.

[0034] In one optional embodiment of this invention, the cardiac defibrillator further includes a physiological monitoring sensor. Accordingly, before the step of determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals, the method further includes: acquiring the patient's physiological parameters simultaneously monitored by the physiological monitoring sensor during the ECG acquisition period of the ECG sensing electrodes; determining whether the current time meets the triggering condition for ECG conduction sequence recognition based on the patient's physiological parameters; if the triggering condition for ECG conduction sequence recognition is met, then performing the step of determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals.

[0035] Specifically, the human body is a multi-organ complex. The physiological monitoring sensor in this embodiment may include at least one of the following: a physiological monitoring electrode, a body temperature monitoring sensor, and a pulse monitoring sensor. The physiological monitoring electrode may be an independent electrode distinct from the electrocardiogram (ECG) sensing electrode. Correspondingly, when performing the step of acquiring the patient's physiological parameters simultaneously monitored by the physiological monitoring sensor during the ECG acquisition period of the ECG sensing electrode, this embodiment includes at least one of the following methods: acquiring the patient's heart rate and chest impedance simultaneously monitored by the physiological monitoring electrode during the ECG acquisition period of the ECG sensing electrode, and calculating the patient's heart rate based on the patient's chest impedance; acquiring the patient's body temperature simultaneously monitored by the body temperature monitoring sensor during the ECG acquisition period of the ECG sensing electrode; and acquiring the patient's pulse simultaneously monitored by the pulse monitoring sensor during the ECG acquisition period of the ECG sensing electrode. Of course, it should be noted that in practical applications, the physiological monitoring sensor can be more diverse, and the corresponding acquired patient physiological parameters should not be limited to those described above, but may also include, for example, blood oxygen saturation, pupillary and corneal reflectance indicators, etc.

[0036] It should be noted that in this embodiment, the patient's current heart rhythm can be initially judged based on the patient's physiological parameters collected by the physiological monitoring sensor. Only when it is determined that the patient is in an arrhythmic state and meets the triggering conditions for ECG conduction sequence recognition, can the ECG conduction sequence be further determined based on the ECG signal to continue the recognition of specific arrhythmic events. Compared with the recognition of arrhythmic events based on a single ECG signal, more diverse vital signs parameters can be provided to assist in arrhythmic recognition and ensure the accuracy of the recognized arrhythmic events.

[0037] This embodiment illustrates the principle of judging arrhythmia state with a specific example. For instance, a patient's physiological parameters can be heart rate and pulse. In a resting state, the pulse and heart rate are consistent, with a reasonable range of 60 to 100 beats per minute. However, in cases of heart failure, shock, high fever, severe anemia and pain, thyroid storm, myocarditis, and drug poisoning such as atropine, the heart rate and pulse significantly increase, exceeding the above reasonable range. When intracranial pressure increases or there is complete atrioventricular block, the pulse slows down. In cases of atrial fibrillation or frequent premature beats, the pulse will be less than the heart rate, a condition known as pulse deficit, corresponding to an arrhythmia state. Therefore, patients exhibit different heart rate and pulse patterns under different conditions. By analyzing and comparing the values ​​of heart rate and pulse, different patient states can be distinguished, thereby determining whether a patient is experiencing an arrhythmia.

[0038] In an optional embodiment of this example, before the step of determining whether the triggering condition for ECG conduction sequence recognition is met based on the patient's physiological parameters, the method further includes: acquiring the ECG monitoring scenario corresponding to the patient; wherein, the ECG monitoring scenario includes: medication scenario, exercise scenario, and resting scenario; and setting the normal value range of the patient's physiological parameters according to the ECG monitoring scenario. Correspondingly, the step of determining whether the triggering condition for ECG conduction sequence recognition is met based on the patient's physiological parameters includes: comparing the patient's physiological parameters with the normal value range; and determining whether the triggering condition for ECG conduction sequence recognition is met based on the comparison result.

[0039] Specifically, different patients have different states when using cardiac defibrillators, and the same patient's state is also flexible and varied when using cardiac defibrillators at different times. In other words, the ECG monitoring scenarios are diverse. If the standard for measuring arrhythmia in patients is the same in different ECG monitoring scenarios, it will lead to a large error in the judgment of arrhythmia. Based on this, this embodiment adaptively sets the normal range of physiological parameters for each patient according to the ECG monitoring scenario, and uses the flexibly determined normal range as a comparison benchmark to judge arrhythmia, which can effectively ensure the accuracy of the judgment results.

[0040] In one optional embodiment of this example, before the step of comparing the patient's physiological parameters with the normal range, the method further includes: obtaining the corresponding type of patient physiological parameters from multiple different types of patient physiological parameters according to the ECG monitoring scenario. The step of comparing the patient's physiological parameters with the normal range includes: comparing the patient's physiological parameters corresponding to the ECG monitoring scenario with the corresponding normal range.

[0041] Specifically, in practical applications, patients' physiological parameters are quite diverse. Not all types of patients' physiological parameters are applicable in different ECG monitoring scenarios. If a comprehensive comparison of patients' physiological parameters is performed, it will lead to excessive computation or introduce random errors. Based on this, this embodiment is adapted to ECG monitoring scenarios to select specific patients' physiological parameters from a variety of patients' physiological parameters for comparison with their normal range. This can reduce the computational workload of arrhythmia judgment and improve the accuracy of the judgment results.

[0042] Step 203: Output the patient's cardiac rhythm event type at least according to the cardiac conduction sequence.

[0043] Specifically, in this embodiment, the patient's cardiac rhythm event type is used to indicate whether the patient has experienced a malignant arrhythmia. In practical applications, different cardiac rhythm events correspond to an objective and inherent electrocardiographic conduction sequence. That is, based on the electrocardiographic conduction sequence, it is possible to effectively identify whether the patient is currently experiencing a malignant arrhythmia. If the identified patient cardiac rhythm event type indicates a malignant arrhythmia requiring defibrillation treatment, a defibrillation command is generated and sent to the host of the cardiac defibrillator to instruct it to control the defibrillation coil to discharge and provide electric shock treatment to the patient.

[0044] In one optional embodiment of this example, the multiple different electrode placement locations may include subcutaneous atrial and subcutaneous ventricular locations. Accordingly, the step of outputting the patient's cardiac rhythm event type at least according to the order of electrocardiographic conduction includes at least one of the following: if the electrocardiographic conduction order is first to the subcutaneous ventricular location and then to the subcutaneous atrial location, then ventricular tachycardia indication information is output; if the electrocardiographic conduction order is simultaneously to the subcutaneous ventricular and subcutaneous atrial locations, then supraventricular tachycardia indication information is output; if the electrocardiographic conduction order is first to the subcutaneous atrial location and then to the subcutaneous ventricular location, then supraventricular tachycardia indication information or sinus tachycardia indication information is output.

[0045] Specifically, in this embodiment, ventricular tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is ventricular tachycardia, supraventricular tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is supraventricular tachycardia, and sinus tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is sinus tachycardia. Under normal sinus rhythm, an electrocardiographic pulse is emitted from the sinoatrial node. The electrocardiographic sensing electrode located in the subcutaneous atrium receives the electrocardiographic signal first, and then the pulse is conducted from top to bottom to the ventricular myocardium. The electrocardiographic sensing electrode located in the subcutaneous ventricle receives the pulse later. Therefore, in practical applications, if the electrocardiographic conduction sequence is detected as first conducting to the subcutaneous ventricle and then to the subcutaneous atrium, then the current cardiac rhythm event is a non-defibrillation treatment cardiac rhythm event of supraventricular tachycardia or sinus tachycardia. Furthermore, for electrocardiographic sensing electrodes located in both the subcutaneous atrium and subcutaneous ventricle, the pulse is received simultaneously. In cases where ECG signals are received, it can usually be identified as junctional tachycardia, specifically supraventricular tachycardia, which is also a non-defibrillable arrhythmia. Furthermore, in cases where ECG pulses are conducted from the ventricles to the atria, the ECG sensing electrode located in the lower part of the patient's heart first acquires the ECG signal, followed by the ECG sensing electrode located in the upper part of the patient's heart. This upward conduction sequence is abnormal and effectively corroborates that the patient's current arrhythmia is a defibrillable ventricular tachycardia. Therefore, this embodiment, through its microscopic multi-electrode ECG acquisition sequence, can effectively distinguish between supraventricular and ventricular tachycardia, reducing T-wave oversensing and lowering the probability of inappropriate or unnecessary shocks.

[0046] In an optional embodiment of this invention, the cardiac defibrillator further includes a physiological monitoring sensor. Accordingly, prior to the step of outputting the patient's cardiac rhythm event type at least according to the electrocardiogram conduction sequence, the method further includes: acquiring the patient's physiological parameters synchronously monitored by the physiological monitoring sensor during the electrocardiogram acquisition period at the electrocardiogram sensing electrode. The step of outputting the patient's cardiac rhythm event type at least according to the electrocardiogram conduction sequence includes: combining the electrocardiogram conduction sequence and the patient's physiological parameters to output the patient's cardiac rhythm event type.

[0047] Specifically, in practical applications, relying solely on a single individual parameter to identify cardiac rhythm events has significant limitations. The human body is a complex of multiple organs, and various individual parameters can contribute to the identification of cardiac rhythm events. In this embodiment, physiological parameters such as the patient's heart rate can be collected. Then, by combining the electrocardiographic conduction sequence and the patient's physiological parameters, the type of cardiac rhythm event can be identified. For example, if the patient's heart rate is greater than or equal to a preset threshold and the electrocardiographic conduction sequence is first conducted to the subcutaneous ventricle and then to the subcutaneous atrium, the patient's cardiac rhythm event type is determined to be ventricular tachycardia. This improves the accuracy of the cardiac rhythm event identification results.

[0048] Figure 4 The method described in this application is a refined electrocardiogram (ECG) signal recognition method provided in an embodiment of the present application. It is applied to a cardiac defibrillator, which includes multiple ECG sensing electrodes placed at multiple different electrode placement locations on the patient's heart. The method specifically includes the following steps:

[0049] Step 401: Acquire the electrocardiogram (ECG) signals collected by multiple ECG sensing electrodes for a single cardiac electrical activity of the patient, and acquire the patient's physiological parameters simultaneously monitored by the physiological monitoring sensor during the ECG acquisition period of the ECG sensing electrodes.

[0050] Step 402: Obtain the ECG monitoring scenario corresponding to the patient, and set the normal range of physiological parameters corresponding to the patient according to the ECG monitoring scenario;

[0051] Step 403: Compare the patient's physiological parameters with the normal range;

[0052] Step 404: If the patient's physiological parameters exceed the normal range, match all ECG signals collected by different ECG sensing electrodes and extract the same rhythm ECG signals collected by different ECG sensing electrodes.

[0053] Step 405: Determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals of the same rhythm corresponding to different ECG sensing electrodes.

[0054] Step 406: If the electrocardiogram conduction sequence is first conducted to the subcutaneous ventricle and then to the subcutaneous atrium, then output ventricular tachycardia indication information;

[0055] Step 407: If the electrocardiogram conduction sequence is simultaneous conduction to the subcutaneous ventricle and subcutaneous atrium, then output supraventricular tachycardia indication information;

[0056] Step 408: If the electrocardiogram conduction sequence is first conducted to the subcutaneous atrium and then to the subcutaneous ventricle, then output supraventricular tachycardia indication information or sinus tachycardia indication information.

[0057] It should be understood that the sequence number of each step in this embodiment does not imply the order in which the steps are executed. The execution order of each step should be determined by its function and internal logic, and should not constitute a unique limitation on the implementation process of this application embodiment.

[0058] Figure 5 An embodiment of this application provides an electrocardiogram (ECG) signal recognition device. This ECG signal recognition device is applied to a cardiac defibrillator and can implement the ECG signal recognition method described in the aforementioned embodiment. The cardiac defibrillator includes multiple ECG sensing electrodes placed at multiple different electrode arrangement positions on the patient's heart. The ECG signal recognition device mainly includes:

[0059] The acquisition module 501 is used to acquire the electrocardiogram signal collected by multiple electrocardiogram sensing electrodes in response to a patient’s single cardiac electrical activity.

[0060] The determination module 502 is used to determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals;

[0061] Output module 503 is used to output the patient's cardiac rhythm event type at least according to the cardiac conduction sequence.

[0062] In one optional embodiment of this invention, multiple ECG sensing electrodes are divided into multiple groups, and multiple ECG sensing electrodes in the same group are placed in multiple subdivided electrode arrangement positions within the same electrode arrangement position. Accordingly, the determining module is specifically used to: determine the ECG conduction sequence corresponding to all electrode arrangement positions based on the acquisition time information of the ECG signals acquired by at least one ECG sensing electrode at each electrode arrangement position.

[0063] In one optional embodiment of this example, multiple different electrode placement locations include subcutaneous atrial and subcutaneous ventricular positions. Correspondingly, the output module is specifically used to: output ventricular tachycardia indication information if the electrocardiographic conduction sequence is first to the subcutaneous ventricular position and then to the subcutaneous atrial position; output supraventricular tachycardia indication information if the electrocardiographic conduction sequence is simultaneously to the subcutaneous ventricular and subcutaneous atrial positions; and output supraventricular tachycardia indication information or sinus tachycardia indication information if the electrocardiographic conduction sequence is first to the subcutaneous atrial position and then to the subcutaneous ventricular position. Specifically, the ventricular tachycardia indication information indicates that the patient's cardiac rhythm event type is ventricular tachycardia, the supraventricular tachycardia indication information indicates that the patient's cardiac rhythm event type is supraventricular tachycardia, and the sinus tachycardia indication information indicates that the patient's cardiac rhythm event type is sinus tachycardia.

[0064] In one optional implementation of this embodiment, the determining module is specifically used to: match all ECG signals collected by different ECG sensing electrodes, extract ECG signals of the same rhythm collected by different ECG sensing electrodes; and determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals of the same rhythm corresponding to different ECG sensing electrodes.

[0065] In one optional embodiment of this invention, the cardiac defibrillator further includes a physiological monitoring sensor. Correspondingly, the ECG signal recognition device also includes a judgment module, and the acquisition module is further configured to acquire the patient's physiological parameters synchronously monitored by the physiological monitoring sensor during the ECG acquisition period of the ECG sensing electrodes; the judgment module is configured to determine whether the triggering condition for ECG conduction sequence recognition is met at the current time based on the patient's physiological parameters; the determination module is specifically configured to: if the triggering condition is met, determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals.

[0066] In one optional embodiment of this invention, the cardiac defibrillator further includes a physiological monitoring sensor. Accordingly, the acquisition module is further configured to: acquire the patient's physiological parameters synchronously monitored by the physiological monitoring sensor during the ECG acquisition period at the ECG sensing electrodes; the output module is specifically configured to: output the patient's cardiac rhythm event type by combining the ECG conduction sequence and the patient's physiological parameters.

[0067] In one optional embodiment of this example, the physiological monitoring sensor includes at least one of the following: a physiological monitoring electrode, a body temperature monitoring sensor, and a pulse monitoring sensor. Accordingly, when the acquisition module performs the function of acquiring the patient's physiological parameters simultaneously monitored by the physiological monitoring sensor during the ECG acquisition period of the ECG sensing electrode, it is specifically used to perform at least one of the following functions: acquiring the patient's heart rate and chest impedance simultaneously monitored by the physiological monitoring electrode during the ECG acquisition period of the ECG sensing electrode, and calculating the patient's heart rate based on the patient's chest impedance; acquiring the patient's body temperature simultaneously monitored by the body temperature monitoring sensor during the ECG acquisition period of the ECG sensing electrode; and acquiring the patient's pulse simultaneously monitored by the pulse monitoring sensor during the ECG acquisition period of the ECG sensing electrode.

[0068] In one optional embodiment of this invention, the ECG signal recognition device further includes a setting module, and an acquisition module is further configured to acquire an ECG monitoring scenario corresponding to the patient, wherein the ECG monitoring scenario includes: medication scenario, exercise scenario, and resting scenario; the setting module is configured to set a normal range of values ​​for the patient's physiological parameters according to the ECG monitoring scenario; the judgment module is specifically configured to: compare the patient's physiological parameters with the normal range of values, and determine whether the triggering condition for ECG conduction sequence recognition is met at the current moment based on the comparison result.

[0069] In one optional embodiment of this example, the acquisition module is further configured to acquire corresponding types of patient physiological parameters from various types of patient physiological parameters according to the ECG monitoring scenario; when the judgment module performs the function of comparing the patient physiological parameters with the normal value range, it is specifically configured to: compare the patient physiological parameters corresponding to the ECG monitoring scenario with the corresponding normal value range.

[0070] In one optional implementation of this embodiment, the acquisition module is specifically used to: acquire the electrocardiogram (ECG) monitoring scenario corresponding to the patient; wherein, the ECG monitoring scenario includes: medication scenario, exercise scenario, and resting scenario; select multiple target ECG sensing electrodes from all ECG sensing electrodes according to the ECG monitoring scenario; and acquire the ECG signals collected by the multiple target ECG sensing electrodes for a single cardiac electrical activity of the patient.

[0071] It should be noted that the ECG signal recognition methods in the foregoing embodiments can all be implemented based on the ECG signal recognition device provided in this embodiment. Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the ECG signal recognition device described in this embodiment can be implemented by referring to the corresponding working process in the foregoing method embodiments, and will not be repeated here.

[0072] Based on the technical solution of the embodiments of this application described above, electrocardiogram (ECG) signals collected by multiple ECG sensing electrodes of a cardiac defibrillator in response to a patient's single cardiac electrical activity are acquired; the ECG conduction sequence corresponding to all electrode placement positions is determined based on the acquisition time information of multiple ECG signals; and the patient's arrhythmia event type is output at least according to the ECG conduction sequence. By implementing the solution of this application, ECG signals are acquired from multiple leads at different locations of the patient's heart, and then the patient's arrhythmia event is identified according to the ECG conduction sequence. This allows for more effective and accurate identification of malignant arrhythmias, reduces the probability of inappropriate shocks from the cardiac defibrillator, and minimizes the negative impact of inappropriate or unnecessary discharges from the cardiac defibrillator on the patient's health.

[0073] Figure 6 This application provides a cardiac defibrillation device according to an embodiment. The cardiac defibrillation device can be used to implement the electrocardiogram (ECG) signal recognition method described in the foregoing embodiments. It mainly includes: a memory 601, a processor 602, and ECG sensing electrodes 603. Multiple ECG sensing electrodes 603 are placed at multiple different electrode placement positions on the patient's heart. The ECG sensing electrodes 603 are used to collect ECG signals from a single instance of cardiac electrical activity. The memory 601 stores a computer program 604 that can run on the processor 602. The memory 601 and the processor 602 are communicatively connected. When the processor 602 executes the computer program 604, it implements the ECG signal recognition method described in the foregoing embodiments. The number of processors 602 configured in the cardiac defibrillation device can be one or more. It should be understood that in this embodiment, multiple processors 602 can be used to execute different steps in the ECG signal recognition method, or one processor 602 can be used to execute the ECG signal recognition method, while other processors 602 can further execute other method processes, such as defibrillation control methods, based on the output of the processor 602 that executes the ECG signal recognition method. This embodiment is not limited to a single method.

[0074] The memory 601 can be a high-speed random access memory (RAM) or a non-volatile memory, such as a disk storage device. The memory 601 is used to store executable program code, and the processor 602 is coupled to the memory 601.

[0075] Furthermore, embodiments of this application also provide a computer-readable storage medium, which may be disposed in the cardiac defibrillation device in the above embodiments, and the computer-readable storage medium may be the aforementioned... Figure 6 The memory in the illustrated embodiment.

[0076] The computer-readable storage medium stores a computer program that, when executed by a processor, implements the electrocardiogram signal recognition method described in the foregoing embodiments. Furthermore, the computer-readable storage medium can also be a USB flash drive, a portable hard drive, a read-only memory (ROM), RAM, a magnetic disk, or an optical disk, or any other medium capable of storing program code.

[0077] It should be understood that the apparatus and methods disclosed in the embodiments provided in this application can also be implemented in any other equivalent manner. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0078] The modules described as separate components may or may not be physically separate. Similarly, the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0079] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0080] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0081] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0082] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0083] The above is a description of the electrocardiogram signal recognition method, apparatus, device and storage medium provided in this application. For those skilled in the art, based on the ideas of the embodiments of this application, there will be changes in the specific implementation and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for recognizing electrocardiogram (ECG) signals, characterized in that, An application in a cardiac defibrillation device, the cardiac defibrillation device comprising multiple electrocardiogram (ECG) sensing electrodes placed at multiple different electrode placement locations on a patient's heart, including subcutaneous atrial and subcutaneous ventricular locations, wherein the ECG signal recognition method comprises: Acquire electrocardiogram (ECG) signals from multiple ECG sensing electrodes in response to a single instance of cardiac electrical activity in a patient; The ECG conduction sequence corresponding to all electrode placement positions is determined based on the acquisition time information of multiple ECG signals. Output the patient's cardiac rhythm event type at least according to the stated ECG conduction sequence; The step of outputting the patient's cardiac rhythm event type at least according to the electrocardiographic conduction sequence includes at least one of the following: If the electrocardiographic conduction sequence is first conducted to the subcutaneous ventricle and then to the subcutaneous atrium, then ventricular tachycardia indication information is output; wherein, the ventricular tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is ventricular tachycardia; If the electrocardiographic conduction sequence is such that the conduction occurs simultaneously at the subcutaneous ventricle and the subcutaneous atrium, then supraventricular tachycardia indication information is output; wherein, the supraventricular tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is supraventricular tachycardia; If the electrocardiographic conduction sequence is first conducted to the subcutaneous atrium and then to the subcutaneous ventricle, then supraventricular tachycardia indication information or sinus tachycardia indication information is output; wherein, the sinus tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is sinus tachycardia; The step of determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals includes: Match all ECG signals acquired by different ECG sensing electrodes, extract ECG signals of the same rhythm acquired by different ECG sensing electrodes, and determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals of the same rhythm acquired by different ECG sensing electrodes; or Based on the acquisition time information of the electrocardiogram (ECG) signal collected by at least one ECG sensing electrode at each of the electrode placement positions, the ECG conduction sequence corresponding to all the electrode placement positions is determined; wherein, the ECG sensing electrodes are divided into multiple groups, and multiple ECG sensing electrodes in the same group are respectively placed in multiple subdivided electrode placement positions in the same electrode placement position.

2. The electrocardiogram signal recognition method according to claim 1, characterized in that, The defibrillator further includes physiological monitoring sensors; prior to the step of outputting the patient's cardiac rhythm event type at least according to the electrocardiographic conduction sequence, it also includes: Acquire patient physiological parameters synchronously monitored by the physiological monitoring sensor during the ECG acquisition period at the ECG sensing electrode; The step of outputting the patient's cardiac rhythm event type at least according to the electrocardiographic conduction sequence includes: The patient's cardiac rhythm event type is output by combining the electrocardiographic conduction sequence and the patient's physiological parameters.

3. The electrocardiogram signal recognition method according to claim 1, characterized in that, The defibrillator further includes physiological monitoring sensors; prior to the step of determining the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals, the device further includes: Acquire patient physiological parameters synchronously monitored by the physiological monitoring sensor during the ECG acquisition period at the ECG sensing electrode; Based on the patient's physiological parameters, determine whether the triggering conditions for ECG conduction sequence recognition are met at the current moment; If the triggering condition is met, then the step of determining the ECG conduction sequence corresponding to all the electrode placement positions based on the acquisition time information of multiple ECG signals is executed.

4. The electrocardiogram signal recognition method according to claim 2 or 3, characterized in that, The physiological monitoring sensor includes at least one of the following: a physiological monitoring electrode, a body temperature monitoring sensor, and a pulse monitoring sensor; the step of acquiring the patient's physiological parameters synchronously monitored by the physiological monitoring sensor during the ECG acquisition period at the ECG sensing electrode includes at least one of the following: The patient's heart rate and chest impedance are simultaneously monitored by the physiological monitoring electrode during the ECG acquisition period of the ECG sensing electrode, and the patient's heart rate is calculated based on the patient's chest impedance. The body temperature of the patient is acquired synchronously by the body temperature monitoring sensor during the ECG acquisition period of the ECG sensing electrode; The pulse monitoring sensor acquires the patient's pulse during the ECG acquisition period of the ECG sensing electrode.

5. The electrocardiogram signal recognition method according to claim 3, characterized in that, Before the step of determining whether the triggering condition for ECG conduction sequence recognition is met based on the patient's physiological parameters, the method further includes: Obtain the electrocardiogram (ECG) monitoring scenarios corresponding to the patient; wherein, the ECG monitoring scenarios include: medication administration scenario, exercise scenario, and resting scenario; The normal range of values ​​for the patient's physiological parameters is set according to the ECG monitoring scenario. The step of determining whether the triggering conditions for ECG conduction sequence recognition are met at the current moment based on the patient's physiological parameters includes: Compare the patient's physiological parameters with the normal range; Based on the comparison results, determine whether the triggering conditions for ECG conduction sequence recognition are met at the current moment.

6. The electrocardiogram signal recognition method according to claim 5, characterized in that, Before the step of comparing the patient's physiological parameters with the normal range, the method further includes: Based on the described electrocardiogram monitoring scenario, obtain the corresponding type of patient physiological parameters from multiple different types of patient physiological parameters; The step of comparing the patient's physiological parameters with the normal range includes: The patient's physiological parameters corresponding to the ECG monitoring scenario are compared with the corresponding normal range.

7. The electrocardiogram signal recognition method according to claim 1, characterized in that, Before the step of acquiring the electrocardiogram (ECG) signal collected by the multiple ECG sensing electrodes for a single instance of cardiac electrical activity in a patient, the method further includes: Obtain the electrocardiogram (ECG) monitoring scenarios corresponding to the patient; wherein, the ECG monitoring scenarios include: medication administration scenario, exercise scenario, and resting scenario; The step of acquiring the electrocardiogram (ECG) signal collected by the multiple ECG sensing electrodes for a single instance of cardiac electrical activity of the patient includes: Based on the ECG monitoring scenario, select multiple target ECG sensing electrodes from all the ECG sensing electrodes; Acquire electrocardiogram (ECG) signals from a single heart electrical activity of a patient using multiple target ECG sensing electrodes.

8. A cardiac signal recognition device, characterized in that, An application in a cardiac defibrillation device, the cardiac defibrillation device comprising multiple electrocardiogram (ECG) sensing electrodes placed at multiple different electrode placement locations on a patient's heart, including subcutaneous atrial and subcutaneous ventricular locations, wherein the ECG signal recognition device comprises: The acquisition module is used to acquire the electrocardiogram (ECG) signals collected by the multiple ECG sensing electrodes in response to a single cardiac electrical activity of the patient. The determining module is used to match all electrocardiogram (ECG) signals collected by different ECG sensing electrodes, extract ECG signals of the same rhythm collected by different ECG sensing electrodes, and determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of multiple ECG signals of the same rhythm corresponding to different ECG sensing electrodes; or it is used to determine the ECG conduction sequence corresponding to all electrode placement positions based on the acquisition time information of ECG signals collected by at least one ECG sensing electrode at each electrode placement position; wherein, the ECG sensing electrodes are divided into multiple groups, and multiple ECG sensing electrodes in the same group are respectively placed in multiple subdivided electrode placement positions in the same electrode placement position. The output module is configured to output the patient's cardiac rhythm event type at least according to the said electrocardiogram conduction sequence; The output module is used to perform at least one of the following functions: If the electrocardiographic conduction sequence is first conducted to the subcutaneous ventricle and then to the subcutaneous atrium, then ventricular tachycardia indication information is output; wherein, the ventricular tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is ventricular tachycardia; If the electrocardiographic conduction sequence is such that the conduction occurs simultaneously at the subcutaneous ventricle and the subcutaneous atrium, then supraventricular tachycardia indication information is output; wherein, the supraventricular tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is supraventricular tachycardia; If the electrocardiographic conduction sequence is first conducted to the subcutaneous atrium and then to the subcutaneous ventricle, then supraventricular tachycardia indication information or sinus tachycardia indication information is output; wherein, the sinus tachycardia indication information is used to indicate that the patient's cardiac rhythm event type is sinus tachycardia.

9. A cardiac defibrillation device, characterized in that, It includes multiple electrocardiogram (ECG) sensing electrodes, a memory, and a processor, wherein the multiple ECG sensing electrodes are placed at multiple different electrode placement locations on the patient's heart; The ECG sensing electrodes are used to collect ECG signals from a single instance of a patient's cardiac electrical activity. The processor is used to execute computer programs stored in the memory; When the processor executes the computer program, it implements the steps in the electrocardiogram signal recognition method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the electrocardiogram signal recognition method according to any one of claims 1 to 7.

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