Readable storage medium and medical equipment

Abstract

The invention provides a readable storage medium and medical device.A computer program is stored in the readable storage medium, and when the computer program is executed by a processor, the following steps are achieved: acquiring electrocardiogram data related to cardiac electrical activity of a target object; judging whether suspected noise signals exist in the electrocardio data or not; if yes, increasing a ventricular event detection threshold based on the amplitude of the suspected noise signal; sensing a target signal based on the increased ventricular event detection threshold; within a preset duration after the target signal is sensed, judging whether the number of times that the target signal passes through the electrocardiogram baseline is greater than or equal to a preset number of times; if yes, the target signal is judged to be a noise signal, and the ventricular event detection threshold value is further increased. Noise signals can be effectively filtered, misjudgment caused by noise interference is reduced, and ventricular events are accurately detected.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a readable storage medium and a medical device. Background Art

[0002] Medical devices such as implantable cardioverter defibrillators (ICDs) play a key role in the treatment of heart diseases. These implantable medical devices monitor the patient's heart rhythm and provide electrical stimulation pulses to the heart when necessary to maintain normal heart rhythm. However, in actual applications, the devices are often interfered by various noise signals.

[0003] Noise signals may come from a variety of factors, such as electrode problems, electromagnetic interference, myoelectric potential, etc. When the device misinterprets noise as a ventricular event, it may lead to inappropriate treatment, such as applying unnecessary defibrillation shocks to conscious patients, which will not only cause great pain to the patient, but may also cause damage to the heart and affect the patient's physiological balance. On the other hand, if the true ventricular arrhythmia event is not accurately detected due to noise interference, treatment may be delayed, posing a serious threat to the patient's life and health.

[0004] At present, many methods have been proposed in the prior art to deal with the problem of noise interference. For example, automatically adjusting the sensitivity of the sensor amplifier or performing automatic gain control, but these methods have certain limitations. For example, when detecting low-amplitude ventricular fibrillation signals, some methods need to increase the sensitivity in order to ensure the accuracy of the detection, but this will increase the sensitivity to noise and lead to misjudgment (please refer to Figure 1 , which is a schematic diagram of atrial and ventricular event detection in the prior art); while other methods cannot effectively distinguish between noise and cardiac depolarization signals when processing high-amplitude noise, making it difficult to avoid triggering inappropriate treatment.

[0005] It should be noted that the information disclosed in the background technology section of the invention is only intended to deepen the understanding of the general background technology of the invention, and should not be regarded as an admission or suggestion in any form that the information constitutes prior art already known to those skilled in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a readable storage medium and medical device, which can not only effectively filter noise signals, reduce misjudgment caused by noise interference, accurately detect ventricular events, and avoid inappropriate treatment, but also ensure timely and accurate detection of real ventricular arrhythmia events, thereby protecting the patient's life, health and treatment effect.

[0007] To achieve the above-mentioned purpose, the present invention provides a readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: acquiring electrocardiogram data related to the cardiac electrical activity of a target object; determining whether there is a suspected noise signal in the electrocardiogram data; if there is a suspected noise signal in the electrocardiogram data, increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal; sensing the target signal based on the increased ventricular event detection threshold; within a preset time after sensing the target signal, determining whether the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number of times; if the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number of times, determining that the target signal is a noise signal, and further increasing the ventricular event detection threshold.

[0008] Optionally, the preset duration is 200ms and the preset number of times is 6 times.

[0009] Optionally, increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal includes: gradually increasing the ventricular event detection threshold according to a preset step size and a preset time interval during the refractory period until the cumulatively increased ventricular event detection threshold is higher than the current cycle amplitude of the suspected noise signal.

[0010] Optionally, increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal includes: if the average amplitude of the suspected noise signal within a preset number of cycles is less than or equal to a preset maximum threshold, using the average amplitude of the suspected noise signal within the preset number of cycles as a new ventricular event detection threshold; if the average amplitude of the suspected noise signal within the preset number of cycles is greater than the preset maximum threshold, using the preset maximum threshold as the new ventricular event detection threshold.

[0011] Optionally, when the computer program is executed by the processor, the following steps are further implemented: if it is determined that there is no suspected noise signal in the ECG data, the ECG data is analyzed based on the sensitivity function of the ventricular event detection threshold to detect the occurrence of a ventricular event.

[0012] Optionally, when the computer program is executed by the processor, the following steps are further implemented: if no ventricular event is detected after a preset escape interval, controlling the energy generation module to provide stimulation energy to the heart of the target object.

[0013] Optionally, when the computer program is executed by the processor, the following steps are also implemented: after controlling the energy generating module to provide stimulation energy to the heart of the target object, determining whether induced depolarization has occurred in the ventricle of the target object based on a capture test; if induced depolarization has occurred in the ventricle of the target object, maintaining the current ventricular event detection threshold; if induced depolarization has not occurred in the ventricle of the target object, lowering the ventricular event detection threshold.

[0014] Optionally, when the computer program is executed by the processor, the following steps are also implemented: judging whether the heart of the target object has arrhythmia based on the detected ventricular events; if arrhythmia exists, controlling the energy generation module to provide pacing energy or electric shock energy to the heart of the target object to perform anti-tachycardia treatment on the target object.

[0015] Optionally, determining whether there is a suspected noise signal in the ECG data includes: determining whether the ECG data has abnormal jitter, baseline drift or irregular waveform; if so, determining that there is a suspected noise signal in the ECG data.

[0016] To achieve the above-mentioned object, the present invention further provides a medical device, comprising a processor, an energy generation module and a readable storage medium as described in any one of the above, wherein the energy generation module is communicatively connected to the processor.

[0017] Compared with the prior art, the readable storage medium and medical device provided by the present invention have the following beneficial effects: the present invention can effectively reduce the sensitivity of the medical device to noise and avoid over-perception by first increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal when determining that there is a suspected noise signal in the acquired electrocardiogram data; then the target signal is perceived based on the increased ventricular event detection threshold, and within a preset time after the target signal is perceived, it is determined whether the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number; if the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number, the target signal is determined to be a noise signal, and the ventricular event detection threshold is further increased, which can further avoid over-perception of noise by the medical device, greatly reduce the misjudgment rate caused by noise, and effectively prevent the triggering of inappropriate treatment. It can be seen that the present invention can deal with various noise situations more comprehensively and effectively, improve the medical equipment's ability to identify and process noise, and greatly reduce the misjudgment rate caused by noise compared to the prior art. It can not only effectively filter noise signals, reduce misjudgment caused by noise interference, accurately detect ventricular events, and avoid inappropriate treatment, but also ensure timely and accurate detection of true ventricular arrhythmia events, improve the accuracy and safety of treatment, and enable medical equipment to work more stably and reliably in a complex cardiac electrical activity environment, providing patients with more effective heart rhythm monitoring and treatment guarantees, which helps to improve the patients' quality of life and treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of atrial and ventricular event detection in the prior art.

[0019] Figure 2 A flowchart of steps that can be implemented by a readable storage medium provided in one embodiment of the present invention.

[0020] Figure 3 A schematic diagram of a noise signal discrimination principle provided in accordance with an embodiment of the present invention.

[0021] Figure 4 A structural block diagram of a medical device provided in one embodiment of the present invention.

[0022] Figure 5 A workflow diagram of a medical device provided in one embodiment of the present invention.

[0023] The reference numerals are described as follows: readable storage medium-10; processor-20; energy generation module-30. DETAILED DESCRIPTION

[0024] The following is a further detailed description of the readable storage medium and medical device proposed in the present invention in conjunction with the accompanying drawings and specific embodiments. According to the following description, the advantages and features of the present invention will be clearer. It should be noted that the accompanying drawings are in a very simplified form and use non-precise proportions, which are only used to conveniently and clearly assist in explaining the purpose of the present invention. In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, please refer to the accompanying drawings. It should be noted that the structure, proportion, size, etc. illustrated in the accompanying drawings of this specification are only used to match the content disclosed in the specification, so that people familiar with this technology can understand and read, and are not used to limit the limiting conditions for the implementation of the present invention. Any modification of the structure, change in the proportional relationship or adjustment of the size, in the case of the same or similar effects that can be produced by the present invention and the purposes that can be achieved, should still fall within the scope of the technical content disclosed by the present invention.

[0025] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements defined by the statement "comprise one..." do not exclude the existence of other identical elements in the process, method, article or equipment including the elements. The singular forms "a", "an" and "the" include plural objects, the term "or" is generally used in a sense including "and / or", the term "several" is generally used in a sense including "at least one", and the term "at least two" is generally used in a sense including "two or more". In addition, the terms "first", "second" and "third" are used for descriptive purposes only and are not to be understood as indicating or suggesting relative importance or implicitly indicating the number of the indicated technical features.

[0026] In addition, in the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0027] The core idea of ​​the present invention is to provide a readable storage medium and medical device, which can not only effectively filter noise signals, reduce misjudgment caused by noise interference, accurately detect ventricular events, and avoid inappropriate treatment, but also ensure timely and accurate detection of real ventricular arrhythmia events, thereby protecting the patient's life, health and treatment effect.

[0028] To realize the above idea, the present invention provides a readable storage medium 10 (see Figure 4 ), the readable storage medium 10 stores a computer program. Figure 2 , which is a flowchart of the steps that can be implemented by the readable storage medium 10 provided in one embodiment of the present invention. Figure 2 As shown, the computer program is executed by the processor 20 (see Figure 4 ) is executed, the following steps are implemented: step S100, acquiring ECG data related to the cardiac electrical activity of the target object; step S200, determining whether there is a suspected noise signal in the ECG data; if there is a suspected noise signal in the ECG data, executing step S300; step S300, increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal; step S400, sensing the target signal based on the increased ventricular event detection threshold; step S500, determining whether the number of times the target signal crosses the ECG baseline is greater than or equal to the preset number of times within a preset time after sensing the target signal; if the number of times the target signal crosses the ECG baseline is greater than or equal to the preset number of times, executing step S600; step S600, determining that the target signal is a noise signal, and further increasing the ventricular event detection threshold.

[0029] The present invention can effectively reduce the sensitivity of medical equipment to noise and avoid over-perception by first increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal when determining that there is a suspected noise signal in the acquired electrocardiogram data; then perceive the target signal based on the increased ventricular event detection threshold, and judge whether the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number of times within a preset time after the target signal is perceived; if the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number of times, the target signal is determined to be a noise signal, and the ventricular event detection threshold is further increased, which can further avoid over-perception of noise by medical equipment, greatly reduce the misjudgment rate caused by noise, and effectively prevent the triggering of inappropriate treatment. It can be seen that the present invention can deal with various noise situations more comprehensively and effectively, improve the medical equipment's ability to identify and process noise, and greatly reduce the misjudgment rate caused by noise compared to the prior art. It can not only effectively filter noise signals, reduce misjudgment caused by noise interference, accurately detect ventricular events, and avoid inappropriate treatment, but also ensure timely and accurate detection of true ventricular arrhythmia events, improve the accuracy and safety of treatment, and enable medical equipment to work more stably and reliably in a complex cardiac electrical activity environment, providing patients with more effective heart rhythm monitoring and treatment guarantees, which helps to improve the patients' quality of life and treatment effects.

[0030] It should be noted that, as can be understood by those skilled in the art, if the target signal sensed based on the ventricular event detection threshold obtained in step S300 is a ventricular event (such as an R wave), there is no need to further adjust the ventricular event threshold, that is, in subsequent detection processes, ventricular events can continue to be detected based on the ventricular event detection threshold obtained in step S300.

[0031] Furthermore, since the ECG signal usually does not cross the baseline multiple times in a short period of time after a real ventricular event (such as an R wave), if the signal frequently crosses the ECG baseline (i.e., changes from positive to negative or from negative to positive multiple times) within a certain time window, it means that there is high-frequency noise or interference in the signal. Therefore, the present invention can accurately determine whether the target signal is a noise signal based on the number of times the target signal crosses the ECG baseline within a preset time after sensing the target signal.

[0032] It should be noted that, as can be understood by those skilled in the art, the baseline is the reference line of the signal in the electrocardiogram, which usually represents the zero point or resting state of the heart's electrical activity. In the electrocardiogram, the baseline can be regarded as a horizontal reference line, and the signal fluctuates up and down around this line. In the electrocardiogram, the transition of the signal from positive to negative or from negative to positive refers to the change process of the signal waveform fluctuating up and down on the baseline. When the signal waveform drops from above the baseline (positive potential) to below the baseline (negative potential), it is called the transition of the signal from positive to negative. For example, the R wave is a typical positive wave (above the baseline), followed by a negative wave (below the baseline), and this change is a transition from positive to negative. When the signal waveform rises from below the baseline (negative potential) to above the baseline (positive potential), it is called a transition from negative to positive. For example, there may be a negative wave (below the baseline) before the R wave, and then the R wave appears and rises above the baseline. This change is a transition from negative to positive.

[0033] Further, as can be understood by those skilled in the art, the "ventricular events" referred to herein refer to the key processes of the ventricular part of the heart's electrical and mechanical activities, mainly including ventricular depolarization, repolarization, contraction and relaxation. These ventricular events are the core of the heart's pumping function, and their abnormalities are closely related to a variety of heart diseases. The main stages of ventricular events and their characteristics are as follows: 1) Ventricular depolarization: defined as the process of ventricular muscle cells changing from a resting state to an excited state, usually lasting 60 milliseconds to 100 milliseconds, which is manifested on the electrocardiogram as the corresponding QRS complex, in which the Q wave reflects the depolarization of the ventricular septum (from left to right), the R wave reflects the depolarization of the left and right ventricular walls, and the S wave reflects the depolarization of the base of the ventricle; 2) Ventricular contraction: defined as the process of ventricular muscle cells contracting to pump blood into the aorta and pulmonary artery, which is manifested on the electrocardiogram as the end of the corresponding QRS complex. 1) Ventricular repolarization: It is defined as the process of ventricular muscle cells recovering from an excited state to a resting state, which is manifested on the electrocardiogram as the corresponding T wave (the direction of the T wave is usually consistent with the direction of the main wave of the QRS complex), and usually lasts for 200 to 300 milliseconds. 2) Ventricular diastole: It is defined as the process of ventricular muscle cells relaxing and the ventricles filling with blood, which is manifested on the electrocardiogram as the end of the T wave and lasts until the next QRS complex, and its duration accounts for about 2 / 3 of the cardiac cycle.

[0034] Further, the readable storage medium 10 provided by the present invention can adopt any combination of one or more computer-readable media. The readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared or semiconductor, or any combination of the above. More specific examples (non-exhaustive enumeration) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this article, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0035] Furthermore, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical cable, etc., or any suitable combination of the above.

[0036] In some exemplary embodiments, determining whether there is a suspected noise signal in the ECG data includes: determining whether the ECG data has abnormal high-frequency jitter, baseline drift or irregular waveform; if so, determining that there is a suspected noise signal in the ECG data.

[0037] Since a normal electrocardiogram waveform has regular P waves, QRS complexes and T waves, and noise will destroy the continuity of the waveform or introduce abnormal features, when the electrocardiogram data has abnormal high-frequency jitter, baseline drift or irregular waveform, it can be determined that there is a suspected noise signal in the electrocardiogram data.

[0038] It should be noted that, as can be understood by those skilled in the art, other analysis methods can also be used to determine whether there is a suspected noise signal in the ECG data. For example, the ECG data can be analyzed in the time domain. If there is a signal with an amplitude less than the first preset threshold or higher than the second preset threshold in the ECG data, it is determined that there is a suspected noise signal in the ECG data. Specifically, under normal circumstances, the ECG signal has a certain amplitude range. For example, in the standard lead, the amplitude of the QRS complex (representing the ventricular depolarization process) generally varies within a certain range. If the detected signal amplitude is significantly lower or higher than this normal range, it may mean that the signal is interfered. And noise signals often show abnormal characteristics, including but not limited to abnormally high amplitude or low amplitude. For example, poor electrode contact, external electromagnetic interference, etc. may cause abnormally high peaks in the recorded ECG signal; and low amplitude signals may be caused by insufficient signal pickup or equipment failure. Therefore, when there is a signal with an amplitude less than the first preset threshold or higher than the second preset threshold in the ECG data, it can be determined that there is a suspected noise signal in the ECG data. It should also be noted that the specific values ​​of the first preset threshold and the second preset threshold can be determined according to the amplitude distribution of the main components such as the QRS complex, P wave and T wave to distinguish normal ECG signals from noise signals.

[0039] In some exemplary embodiments, increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal includes: gradually increasing the ventricular event detection threshold according to a preset step size and a preset time interval during the refractory period until the cumulatively increased ventricular event detection threshold is higher than the current cycle amplitude of the suspected noise signal.

[0040] Therefore, by gradually increasing the ventricular event detection threshold according to a preset step size and a preset time interval within the retriggerable refractory period (i.e., gradually increasing the ventricular event detection threshold according to a preset step size at every preset time interval) until the accumulated increased ventricular event detection threshold is higher than the current cycle amplitude of the suspected noise signal, the occurrence of oversensitivity or insensitivity caused by too rapid changes in the ventricular event detection threshold can be avoided, thereby not only avoiding the loss of real electrocardiogram signals due to a sudden increase in the ventricular event detection threshold, but also reducing the sensitivity of medical equipment to noise and avoiding over-perception.

[0041] Furthermore, the specific value of the preset time interval is related to the period of the suspected noise signal. For example, the preset time interval can be set to the period of the suspected noise signal (for example, 16ms). Therefore, each time a suspected noise signal is detected, the ventricular event detection threshold is increased by a preset step size until the accumulated increase in the ventricular event detection threshold is higher than the current period amplitude of the suspected noise signal. This ensures that the suspected noise signal will no longer be detected as a ventricular event in the future, thereby achieving filtering of the suspected noise signal.

[0042] It should be noted that, as those skilled in the art can understand, the refractory period refers to a time period that is activated after the device detects a ventricular event (such as noise or a true depolarization signal). During this period, the device avoids false detection caused by noise by dynamically adjusting the detection threshold, while maintaining the ability to identify true ventricular events. It should also be noted that, as those skilled in the art can understand, the present invention does not limit the specific duration of the refractory period, and the specific duration of the refractory period can be set according to actual conditions. For example, the duration of the refractory period can be set to 200ms~300ms. In addition, it should be noted that, as those skilled in the art can understand, the present invention does not limit the specific value of the preset step size. For example, the preset step size can be set to 0.2mV.

[0043] In other exemplary embodiments, the method of increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal includes: if the average amplitude of the suspected noise signal within a preset number of cycles is less than or equal to a preset maximum threshold, then using the average amplitude of the suspected noise signal within the preset number of cycles as a new ventricular event detection threshold; if the average amplitude of the suspected noise signal within the preset number of cycles is greater than the preset maximum threshold, then using the preset maximum threshold as the new ventricular event detection threshold.

[0044] Therefore, by taking the average amplitude of the suspected noise signal within a preset number of cycles (for example, six cycles) as a new ventricular event detection threshold, the ventricular event detection threshold can be adjusted directly according to the characteristics of the noise, thereby suppressing the noise more accurately.

[0045] It should be noted that the present invention does not limit the specific value of the preset number, and the specific value of the preset number can be set according to actual conditions.

[0046] In some exemplary embodiments, the preset time length is 200ms, and the preset number of times is 6. Thus, within 200ms after the target signal (the amplitude of the target signal is higher than the ventricular event detection threshold, such as a suspected R wave) is sensed based on the ventricular event detection threshold, if the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to 6 times, the target signal is determined to be a noise signal, thereby being able to more effectively identify and filter noise signals and reduce misjudgments caused by noise interference.

[0047] Please continue to refer to Figure 3 , which is a schematic diagram of the noise signal discrimination principle provided by one embodiment of the present invention. Figure 3 As shown in the figure, since the target signal crosses the electrocardiogram baseline 6 times within 200ms, the target signal can be determined as a noise signal.

[0048] Specifically, the R wave is an important characteristic wave in the electrocardiogram, representing the depolarization process of the ventricle. Under normal circumstances, the R wave morphology is relatively stable, and its amplitude and duration fluctuate within a certain range. In contrast, noise signals often show more frequent and irregular changes. These changes may cause the electrocardiogram waveform to frequently cross the baseline. The selection of the 200ms time window is based on the relatively stable characteristics of the electrocardiogram waveform for a period of time after ventricular depolarization. During this period of time, if frequent baseline crossings are detected, it is more likely to be noise rather than normal ECG activity. The 200ms time window is long enough to capture possible noise features, but short enough to avoid misjudging subsequent normal ECG activity as noise. The present invention sets the number of baseline crossings greater than or equal to 6 times as the threshold for judging noise, which is based on the statistical analysis of normal ECG activity and noise signals. This threshold can better distinguish between normal ECG activity and noise signals.

[0049] In some exemplary embodiments, when the computer program is executed by the processor 20, the following steps are also implemented: if it is determined that there is no suspected noise signal in the ECG data, the ECG data is analyzed based on the sensitivity function of the ventricular event detection threshold to detect the occurrence of a ventricular event.

[0050] Therefore, by analyzing the ECG data based on the sensitivity function of the ventricular event detection threshold to detect the occurrence of ventricular events when it is determined that there is no suspected noise signal in the ECG data, the ventricular event detection threshold can be dynamically adjusted (the ventricular event detection threshold is dynamically adjusted based on the sensitivity function) to gradually optimize the sensitivity and specificity of signal detection, thereby avoiding over-perception of noise.

[0051] Specifically, an initial threshold can be set according to the average amplitude or noise level of the R wave, and a sensitivity function can be designed to dynamically adjust the ventricular event detection threshold. For example, the sensitivity function can be as follows: Threshold(t)=α*Peak(t)+β*Noise(t) Where Threshold(t) is the ventricular event detection threshold, Peak(t) is the average of the most recently detected R wave amplitudes, Noise(t) is the estimated value of the noise level, and α and β are weight coefficients used to balance the effects of signal and noise.

[0052] Thus, the ventricular event detection threshold can be updated in real time according to the dynamic changes of the signal (such as heart rate changes, noise level), and the ventricular event detection can be performed in real time based on the updated ventricular event detection threshold. It should be noted that, in addition to the functions listed above, the sensitivity function can also be any other sensitivity function known to those skilled in the art that can adjust the ventricular event detection threshold.

[0053] In some exemplary embodiments, when the computer program is executed by the processor 20, the following steps are further implemented: if no ventricular event is detected after a preset escape interval, the energy generation module 30 is controlled to provide stimulation energy to the heart of the target object.

[0054] Thus, by controlling the energy generation module 30 to provide stimulation energy to the heart of the target object when no ventricular event (such as R wave) is detected after a preset escape interval, ventricular contraction can be triggered to ensure that the heart of the target object can maintain normal rhythm and pumping function.

[0055] It should be noted that, as can be understood by those skilled in the art, the stimulation energy provided by the energy generation module 30 to the heart of the target object can be, but is not limited to, stimulation pulses. It should also be noted that the escape interval refers to the time interval between escape beats emitted by the secondary pacemaker (such as the atrioventricular node or ventricle) when the dominant rhythm (such as sinus rhythm) of the heart fails. When the dominant rhythm is interrupted or too slow, the escape mechanism is activated, and the secondary pacemaker emits impulses to maintain the heartbeat and prevent cardiac arrest. The present invention does not limit the specific value of the preset escape interval.

[0056] In some exemplary embodiments, when the computer program is executed by the processor 20, the following steps are also implemented: after controlling the energy generation module 30 to provide stimulation energy to the heart of the target object, determining whether induced depolarization has occurred in the ventricle of the target object based on a capture test; if induced depolarization has occurred in the ventricle of the target object, maintaining the current ventricular event detection threshold; if induced depolarization has not occurred in the ventricle of the target object, lowering the ventricular event detection threshold.

[0057] Therefore, by judging whether induced depolarization has occurred in the ventricle of the target object based on the capture test, it can be confirmed whether the applied stimulation energy (e.g., stimulation pulse) is effective, that is, whether the contraction of the ventricle has been successfully triggered. If induced depolarization is not detected based on the capture test, it means that the stimulation energy (e.g., stimulation pulse) provided by the energy generation module 30 has failed to successfully trigger the electrical activity of the ventricle, which may be caused by the reduced excitability of the ventricular muscle. Therefore, by lowering the ventricular event detection threshold on the basis of the current ventricular event detection threshold when induced depolarization has not occurred, the sensitivity of the medical device to ventricular electrical activity can be improved, so as to more accurately detect ventricular events (e.g., R waves). Conversely, if induced depolarization is detected based on the capture test, it means that the stimulation energy (e.g., stimulation pulse) provided by the energy generation module 30 has successfully triggered the electrical activity of the ventricle, which indicates that the current ventricular event detection threshold has been able to successfully detect ventricular events, and therefore the current ventricular event detection threshold can be maintained.

[0058] In some exemplary embodiments, when the computer program is executed by the processor 20, the following steps are also implemented: determining whether the heart of the target object has arrhythmia based on the detected ventricular events; if arrhythmia exists, controlling the energy generation module 30 to provide pacing energy or electric shock energy to the heart of the target object to perform anti-tachycardia treatment on the target object.

[0059] Therefore, by performing anti-tachycardia treatment on the target object when arrhythmia is detected in the heart of the target object, the abnormally fast heart rhythm can be effectively terminated, so that the heart rhythm of the target object can return to normal, thereby protecting the life and health of the patient.

[0060] Specifically, common types of arrhythmias include: ventricular tachycardia (VT, abnormally fast ventricular rate, usually greater than 100 beats / minute, but relatively regular rhythm), ventricular fibrillation (VF, extremely fast ventricular rate and completely irregular rhythm, the heart cannot pump blood effectively), bradycardia (ventricular rate is too slow, usually less than 60 beats / minute, which may lead to insufficient blood flow), and irregular rhythm (such as premature ventricular beats or other abnormal rhythms).

[0061] Furthermore, the ventricular rate can be calculated based on the detected ventricular events. The normal range of the ventricular rate is usually 60 beats / min to 100 beats / min. If the ventricular rate calculated based on the detected ventricular events exceeds this range, it indicates that an arrhythmia has occurred; or the interval between ventricular events (such as the time interval between two adjacent R waves) can be calculated based on the detected ventricular events. If the interval between ventricular events (such as the time interval between two adjacent R waves) is abnormal, it indicates that an arrhythmia has occurred; or the waveform of the detected ventricular event (such as the R wave) is subjected to a morphological analysis. If the waveform of the detected ventricular event (such as the R wave) is abnormal, it indicates that an arrhythmia has occurred.

[0062] Based on the same inventive concept, the present invention also provides a medical device, please refer to Figure 4 , which is a structural block diagram of a medical device provided by one embodiment of the present invention. Figure 4 As shown, the medical device provided by the present invention includes a processor 20, an energy generation module 30 and the readable storage medium 10 described above, and the energy generation module 30 is communicatively connected with the processor 20. Since the medical device provided by the present invention and the readable storage medium 10 provided by the present invention belong to the same inventive concept, the medical device provided by the present invention at least has all the beneficial effects of the readable storage medium 10 provided by the present invention, and the specifics can be referred to the relevant descriptions above, so the beneficial effects of the medical device provided by the present invention will not be described one by one here.

[0063] Furthermore, the medical device may be any cardiac rhythm management device, not limited to an implantable cardioverter defibrillator or an implantable cardiac pacemaker. The energy generation module 30 may be, but is not limited to, a pulse generation module.

[0064] Please continue to refer to Figure 5 , which is a workflow diagram of a medical device provided by one embodiment of the present invention. Figure 5As shown, the medical device first collects ECG data related to cardiac electrical activity; then applies a sensitivity function based on a ventricular event detection threshold to detect the occurrence of ventricular events, and determines whether there is suspected noise in the collected ECG data (i.e., whether there is a suspected noise signal); if it is determined that there is a suspected noise signal, the ventricular event detection threshold is increased based on the amplitude of the suspected noise signal; then the target signal is sensed based on the increased ventricular event detection threshold; within a preset time after the target signal is sensed, it is determined whether the number of times the target signal crosses the ECG baseline is greater than or equal to the preset number; if the number of times the target signal crosses the ECG baseline is greater than or equal to the preset number, If the target signal is detected more than the preset number of times, the target signal is determined to be a noise signal, and the ventricular event detection threshold is further increased; if no ventricular event is detected after the preset escape interval, stimulation energy is provided to the heart of the target object, and after providing the stimulation energy, it is determined based on the capture test whether induced depolarization has occurred in the ventricle of the target object; if induced depolarization has occurred, the current ventricular event detection threshold is maintained; if no induced depolarization has occurred, the ventricular event detection threshold is lowered; finally, it is determined whether the heart of the target object has arrhythmia based on the detected ventricular events; if arrhythmia exists, anti-tachycardia treatment is performed on the target object.

[0065] It should be noted that the processor 20 referred to in the present invention may be a central processing unit (CPU), or 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. A general-purpose processor may be a microprocessor or the processor 20 may also be any conventional processor, etc. The processor 20 is the control center of the medical device, and uses various interfaces and lines to connect various parts of the entire medical device.

[0066] In summary, compared with the prior art, the readable storage medium and medical device provided by the present invention have the following beneficial effects: the present invention can effectively reduce the sensitivity of the medical device to noise and avoid over-perception by first increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal when determining that there is a suspected noise signal in the acquired ECG data; then, the target signal is perceived based on the increased ventricular event detection threshold, and within a preset time after the target signal is perceived, it is determined whether the number of times the target signal crosses the ECG baseline is greater than or equal to the preset number; if the number of times the target signal crosses the ECG baseline is greater than or equal to the preset number, the target signal is determined to be a noise signal, and the ventricular event detection threshold is further increased, which can further avoid over-perception of noise by the medical device, greatly reduce the misjudgment rate caused by noise, and effectively prevent the triggering of inappropriate treatment. It can be seen that the present invention can deal with various noise situations more comprehensively and effectively, improve the medical equipment's ability to identify and process noise, and greatly reduce the misjudgment rate caused by noise compared to the prior art. It can not only effectively filter noise signals, reduce misjudgment caused by noise interference, accurately detect ventricular events, and avoid inappropriate treatment, but also ensure timely and accurate detection of true ventricular arrhythmia events, improve the accuracy and safety of treatment, and enable medical equipment to work more stably and reliably in a complex cardiac electrical activity environment, providing patients with more effective heart rhythm monitoring and treatment guarantees, which helps to improve the patients' quality of life and treatment effects.

[0067] It should be noted that the computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0068] It should also be noted that the above description is only a description of the preferred embodiment of the present invention, and is not any limitation on the scope of the present invention. Any changes and modifications made by a person skilled in the art in the field of the present invention based on the above disclosure are within the scope of protection of the present invention. Obviously, a person skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations fall within the scope of the present invention and its equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by the processor, the following steps are implemented: acquiring electrocardiographic data related to cardiac electrical activity of the target subject; Determining whether there is a suspected noise signal in the electrocardiogram data; If there is a suspected noise signal in the electrocardiogram data, increasing the ventricular event detection threshold based on the amplitude of the suspected noise signal; sensing of target signals based on the increased ventricular event detection threshold; Within a preset time period after sensing the target signal, determining whether the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to a preset number; If the number of times the target signal crosses the electrocardiogram baseline is greater than or equal to the preset number, the target signal is determined to be a noise signal, and the ventricular event detection threshold is further increased.

2. The readable storage medium according to claim 1, characterized in that: The preset duration is 200ms, and the preset number of times is 6 times.

3. The readable storage medium according to claim 1, characterized in that: The step of increasing a ventricular event detection threshold based on the amplitude of the suspected noise signal comprises: The ventricular event detection threshold is gradually increased according to a preset step size and a preset time interval during the refractory period until the cumulatively increased ventricular event detection threshold is higher than the current cycle amplitude of the suspected noise signal.

4. The readable storage medium according to claim 1, characterized in that: The step of increasing a ventricular event detection threshold based on the amplitude of the suspected noise signal comprises: If the average amplitude of the suspected noise signal within a preset number of cycles is less than or equal to the preset maximum threshold, the average amplitude of the suspected noise signal within the preset number of cycles is used as the new ventricular event detection threshold; if the average amplitude of the suspected noise signal within the preset number of cycles is greater than the preset maximum threshold, the preset maximum threshold is used as the new ventricular event detection threshold.

5. The readable storage medium according to claim 1, characterized in that: When the computer program is executed by a processor, the following steps are also implemented: If it is determined that there is no suspected noise signal in the electrocardiographic data, the electrocardiographic data is analyzed based on a sensitivity function of a ventricular event detection threshold to detect the occurrence of a ventricular event.

6. The readable storage medium according to claim 1, characterized in that: When the computer program is executed by a processor, the following steps are also implemented: If no ventricular event is detected after a preset escape interval, the energy generation module is controlled to provide stimulation energy to the heart of the target subject.

7. The readable storage medium according to claim 6, characterized in that: When the computer program is executed by a processor, the following steps are also implemented: After controlling the energy generation module to provide stimulation energy to the heart of the target object, determining whether induced depolarization occurs in the ventricle of the target object based on a capture test; If an induced depolarization occurs in the ventricle of the target subject, maintaining the current ventricular event detection threshold; If no induced depolarization occurs in the ventricle of the target subject, the ventricular event detection threshold is lowered.

8. The readable storage medium according to claim 1, characterized in that: When the computer program is executed by a processor, the following steps are also implemented: determining whether the heart of the target subject has arrhythmia based on the detected ventricular events; If arrhythmia exists, the energy generation module is controlled to provide pacing energy or electric shock energy to the heart of the target subject to perform anti-tachycardia treatment on the target subject.

9. The readable storage medium according to claim 1, characterized in that: The determining whether there is a suspected noise signal in the electrocardiogram data includes: It is determined whether the ECG data has abnormal jitter, baseline drift or irregular waveform. If so, it is determined that there is a suspected noise signal in the ECG data.

10. A medical device, characterized in that: The invention comprises a processor, an energy generation module and the readable storage medium according to any one of claims 1 to 9, wherein the energy generation module is communicatively connected to the processor.

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