High-voltage electric field electrocardio synchronous pulse triggering method and pulsed electric field ablation system

Abstract

The invention relates to the technical field of medical equipment, in particular to a high-voltage electric field electrocardio synchronous pulse triggering method and a pulse electric field ablation system. The method comprises the following steps: in response to starting of target equipment, performing feature sampling on a target object to obtain a feature sampling signal; the feature sampling signals are processed based on a preset detection algorithm, waveform features in the electrocardiosignals are obtained, the detection algorithm is achieved based on a dynamic integral window length and a dynamic peak detection threshold value, and the dynamic integral window length and the dynamic peak detection threshold value are determined based on a basic threshold value in the associated updating period and historical feature sampling signals; determining target wave crest information in the electrocardiosignal based on the waveform characteristics, and generating a pulse driving time sequence signal matched with the target wave crest information; and driving target equipment based on the pulse driving time sequence signal to realize electrocardio synchronous pulse triggering. By adopting the method, the real-time performance, the accuracy and the stability of pulse triggering can be improved.

Description

Technical Field

[0001] This application relates to the technical field of medical equipment, and particularly to a high-voltage electric field electrocardiogram synchronous pulse triggering method and a pulsed electric field ablation system. Background Art

[0002] Pulsed electric field ablation (PFA) is a non-thermal ablation technology that uses high-voltage pulsed electric fields to damage cell membranes. Different from traditional thermal ablation, PFA causes irreversible damage to cell membranes through the electroporation effect, resulting in cell death. This technology is selective, capable of effectively ablating target tissues while reducing damage to surrounding healthy tissues. A pulsed electric field ablation instrument belongs to a tissue ablation device, including a main unit, a foot switch, and a power cord network, and is used in conjunction with a disposable pulsed electric field ablation catheter. It is mainly applicable to the ablation of bronchial epithelium and mucosa in patients with moderate to severe chronic bronchitis and the surgical treatment of non-small cell lung cancer. Doctors perform a skin puncture operation on the patient, guide the pulsed electric field ablation catheter to the target tissue through an airway bronchoscope, step on the foot switch, and after obtaining the patient's electrocardiogram waveform, the pulsed electric field ablation instrument performs R-wave recognition and synchronously generates high-voltage energy pulses to treat the diseased tissue. The ablation of the diseased tissue is continuously repeated until all target tissues are treated. For lung tissues close to the heart, during ablation, the high-voltage electric field may interfere with cardiac electrical activity, causing arrhythmia. It is necessary to ensure that the pulse output avoids the T-wave period (the vulnerable period of the heart), so R-wave synchronization is particularly important.

[0003] In related technologies, the Pan-Tompkins detection algorithm is usually used for R-wave detection. The Pan-Tompkins detection algorithm is a dual-threshold QRS wave detection algorithm. This algorithm first preprocesses the original ECG signal, including filtering, differentiation, and integration operations, then uses a wavelet filter to extract the information of the Q wave, R wave, and S wave, and detects the position of the QRS wave group through signal characteristics. The advantage of this algorithm is that it can effectively detect the R wave through information such as slope, amplitude, and width.

[0004] However, the current pulse synchronization triggering method has the following technical problems:

[0005] The current pulse synchronization triggering method needs to be optimized in terms of response efficiency and accuracy. Summary of the Invention

[0006] Based on this, in view of the above technical problems, it is necessary to provide a high-voltage electric field electrocardiogram synchronous pulse triggering method, device, computer device, computer-readable storage medium, and computer program product that can improve the real-time performance, accuracy, and stability of pulse triggering.

[0007] In a first aspect, the present application provides a method for triggering an electrocardiogram (ECG) synchronous pulse in a high-voltage electric field. The method includes:

[0008] In response to the startup of a target device, perform feature sampling on a target object to obtain a feature sampling signal, where the feature sampling signal includes an ECG signal;

[0009] Process the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal. The detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period;

[0010] Determine target peak information in the ECG signal based on the waveform features, and generate a pulse drive timing signal that matches the target peak information;

[0011] Drive the target device based on the pulse drive timing signal to achieve ECG synchronous pulse triggering.

[0012] In one embodiment, the process of processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period includes:

[0013] Obtain the historical feature sampling signals within the update period, and determine the integral value corresponding to the inflection point of the integral signal corresponding to the historical feature sampling signals;

[0014] Based on a preset threshold update ratio, the integral value, and the base threshold, determine an updated base threshold;

[0015] Determine an updated dynamic peak detection threshold based on a preset proportionality coefficient and the updated base threshold.

[0016] In one embodiment, the process of processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period includes:

[0017] Obtain the historical feature sampling signals within the update period, and determine the inflection point interval data corresponding to the inflection point of the integral signal corresponding to the historical feature sampling signals;

[0018] Determine the updated dynamic integration window length based on a preset window length update ratio and the inflection point interval data.

[0019] In one embodiment, the processing of the feature sampling signal based on a preset detection algorithm to obtain the waveform features in the electrocardiogram signal further includes:

[0020] If no target peak is detected within a preset detection window, initialize the dynamic integration window length and the dynamic peak detection threshold in the detection algorithm;

[0021] Process the feature sampling signal based on the initialized dynamic integration window length and the dynamic peak detection threshold.

[0022] In one embodiment, the obtaining of the feature sampling signal by performing feature sampling on a target object in response to the startup of a target device, where the feature sampling signal includes an electrocardiogram signal, includes:

[0023] Obtain a plurality of groups of regional sampling signals corresponding to different sampling regions of the target object in the feature sampling signal, and obtain the common-mode signal of the regional sampling signals;

[0024] Feed back the common-mode signal to the preamplifier of the target device to perform negative feedback adjustment on the feature sampling signal based on the common-mode signal.

[0025] In a second aspect, the present application further provides a pulsed electric field ablation system, and the system includes:

[0026] An ablation catheter for transmitting a high-voltage pulsed electric field to a target tissue;

[0027] A control terminal connected to the ablation catheter for realizing the drive control of the high-voltage pulsed electric field based on a high-voltage electric field electrocardiogram synchronization pulse triggering method as described in any one of the first aspect.

[0028] In a third aspect, the present application further provides a high-voltage electric field electrocardiogram synchronization pulse triggering device. The device includes:

[0029] A sampling module for performing feature sampling on a target object in response to the startup of a target device to obtain a feature sampling signal, where the feature sampling signal includes an electrocardiogram signal;

[0030] A detection module for processing the feature sampling signal based on a preset detection algorithm to obtain the waveform features in the electrocardiogram signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period;

[0031] A drive signal module, configured to determine target peak information in the electrocardiogram signal based on the waveform features, and generate a pulse drive timing signal matching the target peak information;

[0032] A drive control module, configured to drive the target device to achieve electrocardiogram synchronous pulse triggering based on the pulse drive timing signal.

[0033] In one embodiment, the detection module includes:

[0034] An inflection point integration module, configured to obtain the historical feature sampling signal within the update period, and determine an integration value corresponding to an integration signal inflection point corresponding to the historical feature sampling signal;

[0035] A threshold update module, configured to determine an updated base threshold based on a preset threshold update ratio, the integration value, and the base threshold;

[0036] A dynamic peak detection threshold module, configured to determine an updated dynamic peak detection threshold based on a preset proportionality coefficient and the updated base threshold.

[0037] In one embodiment, the detection module includes:

[0038] An inflection point interval module, configured to obtain the historical feature sampling signal within the update period, and determine inflection point interval data corresponding to an integration signal inflection point corresponding to the historical feature sampling signal;

[0039] A dynamic integration window length module, configured to determine an updated dynamic integration window length based on a preset window length update ratio and the inflection point interval data.

[0040] In one embodiment, the detection module further includes:

[0041] An initialization module, configured to initialize the dynamic integration window length and the dynamic peak detection threshold in the detection algorithm if no target peak is detected within a preset detection window;

[0042] An initialization detection module, configured to process the feature sampling signal based on the initialized dynamic integration window length and the dynamic peak detection threshold.

[0043] In one embodiment, the sampling module includes:

[0044] A common-mode signal module, configured to obtain a plurality of groups of regional sampling signals corresponding to different sampling regions of the target object in the feature sampling signal, and obtain the common-mode signal of the regional sampling signals;

[0045] A feedback adjustment module, configured to feed back the common-mode signal to a preamplifier of the target device, and perform negative feedback adjustment on the feature sampling signal based on the common-mode signal.

[0046] In a fourth aspect, the present application further provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps in a high-voltage electric field electrocardiogram synchronous pulse triggering method according to any one of the embodiments in the first aspect are implemented.

[0047] In a fifth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in a high-voltage electric field electrocardiogram synchronous pulse triggering method according to any one of the embodiments in the first aspect are implemented.

[0048] In a sixth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps in a high-voltage electric field electrocardiogram synchronous pulse triggering method according to any one of the embodiments in the first aspect are implemented.

[0049] For the above high-voltage electric field electrocardiogram synchronous pulse triggering method, device, computer device, storage medium, and computer program product, by deriving through the technical features in the claims, the following beneficial effects can be achieved for the technical problems in the corresponding background technology:

[0050] The present application provides a high-voltage electric field electrocardiogram synchronous pulse triggering method, which includes: in response to the startup of a target device, performing feature sampling on a target object to obtain a feature sampling signal, where the feature sampling signal includes an electrocardiogram signal; processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the electrocardiogram signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a basic threshold within an associated update period and historical feature sampling signals; determining target peak information in the electrocardiogram signal based on the waveform features, and generating a pulse drive timing signal that matches the target peak information; and driving the target device based on the pulse drive timing signal to achieve electrocardiogram synchronous pulse triggering. In implementation, after the target device starts up, feature sampling is performed on the target object, and the collected electrocardiogram signal contains complete waveform information, providing a high-quality data basis for subsequent processing; the electrocardiogram signal is processed using a detection algorithm based on a dynamic integration window length and a dynamic peak detection threshold. By dynamically adjusting the integration window length, it can effectively avoid misidentifying wide noise as a target peak, and can also automatically adjust the integration window length according to the width of different QRS complexes to adapt to the electrocardiogram signal characteristics of different patients. When the threshold is too high due to noise interference, the threshold can be automatically adjusted to reduce the possibility of abnormal situations caused by the inability to detect peaks for a long time. In this way, even in the case of large noise interference or signal amplitude fluctuations, a high detection accuracy can still be maintained. Finally, the generated pulse drive timing signal highly matches the target peak information, which helps to improve the synchronization, real-time performance, and accuracy of pulse triggering and electrocardiogram signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] To more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0052] Figure 1 It is a schematic diagram of the architecture of a pulsed electric field ablation system in an embodiment;

[0053] Figure 2 It is a schematic diagram of the control principle of a pulsed electric field ablation system in an embodiment;

[0054] Figure 3 It is a schematic diagram of the connection of a signal processing module in a control terminal in an embodiment;

[0055] Figure 4 It is a first flowchart of a high-voltage electric field electrocardiogram synchronous pulse triggering method in an embodiment;

[0056] Figure 5 It is a schematic diagram of the second process of a high-voltage electric field electrocardiogram synchronous pulse triggering method in another embodiment;

[0057] Figure 6 It is a schematic diagram of the third process of a high-voltage electric field electrocardiogram synchronous pulse triggering method in another embodiment;

[0058] Figure 7 It is a schematic diagram of the fourth process of a high-voltage electric field electrocardiogram synchronous pulse triggering method in another embodiment;

[0059] Figure 8 It is a schematic diagram of the fifth process of a high-voltage electric field electrocardiogram synchronous pulse triggering method in another embodiment;

[0060] Figure 9 It is a schematic diagram of the R-wave detection process in a specific embodiment;

[0061] Figure 10 It is a structural block diagram of a high-voltage electric field electrocardiogram synchronous pulse triggering device in an embodiment;

[0062] Figure 11 It is an internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0063] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0064] In the related art, the Pan-Tompkins detection algorithm is usually used for R-wave detection. The Pan-Tompkins detection algorithm is a double-threshold QRS wave detection algorithm. This algorithm first preprocesses the original ECG signal, including filtering, differencing and integration operations, then uses a wavelet filter to extract the information of Q wave, R wave and S wave, and detects the position of the QRS wave group through signal characteristics. The advantage of this algorithm is that it can effectively detect the R wave through information such as slope, amplitude and width.

[0065] However, the current pulse synchronous triggering method has the following technical problems:

[0066] The current pulse synchronous triggering method needs to be optimized in terms of response efficiency and accuracy, etc.

[0067] Based on this, the embodiments of the present application provide a high-voltage electric field electrocardiogram synchronous pulse triggering method, which can be applied to an application environment as shown in Figure 1 shown. Figure 1A pulsed electric field ablation system is shown, including an ablation catheter 1, a control terminal 2, a display 3, and a mains power cord. Among them, the ablation catheter 1 includes a basket, the basket has a variable outer diameter, and the change range of the outer diameter size of the basket is 2 - 22 mm, which can fully cover the treatment requirements of the pulmonary bronchus, so as to achieve the purpose of pulsed electric field treatment at the place where the bronchus is more narrow and most prone to inflammation.

[0068] The pulsed electric field ablation system of the present application applies pulse technology to treat chronic obstructive pulmonary disease, especially nanosecond pulse technology. Since nanosecond pulses can release a large amount of energy in an extremely short time, generating a high peak power; and the time of its interaction with matter is extremely short, using the characteristic of short pulse width, it is possible to precisely process diseased cells or specific biological tissues without damaging the surrounding normal tissues. The pulsed electric field ablation system of the present application can treat chronic obstructive pulmonary disease well.

[0069] Specifically, it can be as Figure 2 shown that the control terminal 2 includes a high-voltage power supply module, a display control module, an electrocardiogram R-wave synchronous detection module, a power management control module, and a system control module. When the electrode emits a high-voltage electric field pulse acting on the patient's lung tumor tissue, in order to prevent arrhythmia, it is necessary to synchronously emit energy at the R wave, which is the positive wave (upward peak) generated during ventricular depolarization (electrical activity). Exemplarily, the optional output modes of the system can include giving pulses at 60 bpm after detecting the R peak; giving pulses at the current heart rate after detecting the R peak; still detecting the R peak when giving pulses. The present application takes the first output mode as an example for illustration, and the other situations are similar, so they will not be elaborated. Exemplarily, the electrocardiogram signal is sampled in the form of four leads, namely LA (left arm), RA (right arm), LL (left leg), and RL (right leg). The signal preprocessing unit filters the above four signals to remove high-frequency noise, and limits the voltage through a diode to prevent high voltage from causing harm to the body. An emitter follower is used to perform impedance transformation on the input signal to enhance the signal's load-carrying capacity, and the LA and RA signals are differentially amplified and output as lead Ⅰ signal, and the LL and RA signals are differentially amplified and output as lead Ⅱ signal.

[0070] Exemplarily, it can be as Figure 3As shown, the electrocardiogram (ECG) analog front-end unit has an integrated programmable gain amplifier with seven gain settings: 1, 2, 3, 4, 6, 8, and 12, which can be configured through the CHnSET register. The analog input of the ECG analog front-end unit can be differential or single-ended. In this application, the single-ended input mode is exemplarily adopted. If the VREF_4V bit of the CONFIG3 register is configured to 0, then INP fluctuates between (CM + 2.4V) and (CM - 2.4V), INN = CM, and the output differential signal is processed by a 24-bit analog-to-digital converter and sent to the master controller unit as a digital quantity for data integration. Usually, when a patient undergoes an ECG test, they are affected by noise sources such as the power supply system and fluorescent lights. These noises are usually at the V level, while the bioelectric signals captured by the electrocardiogram are very weak, usually at the μV level. If these noises are not suppressed, they will mask the useful bioelectric signals.

[0071] Exemplarily, the entire ECG synchronous R-wave detection module can be placed in a fully metal shielding case, which can prevent magnetic field interference from the surrounding environment and also prevent the module from radiating energy outward. In the design of the circuit board, an isolated power supply is used to electrically isolate the patient application part and the secondary circuit part. In the layout, analog signals and digital signals are separated, multi-layer board wiring is adopted, and the power supply and ground planes are independently layered, ensuring signal integrity and power integrity, and enabling the ECG synchronous R-wave detection module to have good electromagnetic compatibility (EMC) characteristics and reliability.

[0072] In one embodiment, as Figure 4 shown, a method for triggering an ECG synchronous pulse in a high-voltage electric field is provided. Taking the application of this method to the Figure 1 control terminal as an example, it includes the following steps:

[0073] Step 402: In response to the startup of the target device, perform feature sampling on the target object to obtain a feature sampling signal, where the feature sampling signal includes an ECG signal.

[0074] Step 404: Process the feature sampling signal based on a preset detection algorithm to obtain the waveform features in the ECG signal. The detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on the basic threshold within the associated update period and the historical feature sampling signal.

[0075] Step 406: Determine the target peak information in the ECG signal based on the waveform features, and generate a pulse drive timing signal that matches the target peak information.

[0076] Step 408: Drive the target device based on the pulse drive timing signal to achieve ECG synchronous pulse triggering.

[0077] In the above-mentioned high-voltage electric field electrocardiogram synchronous pulse triggering method, through reasonable derivation combined with the technical features in the embodiments, the following beneficial effects can be achieved to solve the technical problems proposed in the background art:

[0078] The present application provides a high-voltage electric field electrocardiogram synchronous pulse triggering method, including: in response to the startup of a target device, performing feature sampling on a target object to obtain a feature sampling signal, where the feature sampling signal includes an electrocardiogram signal; processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the electrocardiogram signal, the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a basic threshold and historical feature sampling signals within an associated update period; determining target peak information in the electrocardiogram signal based on the waveform features, and generating a pulse drive timing signal matching the target peak information; driving the target device based on the pulse drive timing signal to achieve electrocardiogram synchronous pulse triggering. In implementation, after the target device starts up, feature sampling is performed on the target object, and the collected electrocardiogram signal contains complete waveform information, providing a high-quality data basis for subsequent processing; using a detection algorithm based on a dynamic integration window length and a dynamic peak detection threshold to process the electrocardiogram signal, by dynamically adjusting the integration window length, it can effectively avoid misidentifying wide noise as a target peak, and can also automatically adjust the integration window length according to the width of different QRS complexes to adapt to the electrocardiogram signal characteristics of different patients. When the threshold is too high due to noise interference, it can automatically adjust the threshold to reduce the possibility of abnormal situations caused by the inability to detect peaks for a long time. In this way, even in the case of large noise interference or signal amplitude fluctuations, a high detection accuracy can still be maintained. Finally, the generated pulse drive timing signal highly matches the target peak information, which helps to improve the synchronization, real-time performance, and accuracy of pulse triggering and electrocardiogram signals.

[0079] In one of the embodiments, as Figure 5 shown, step 404 includes:

[0080] Step 502: Obtain the historical feature sampling signals within the update period, and determine the integral value corresponding to the integral signal inflection point corresponding to the historical feature sampling signals.

[0081] Step 504: Based on a preset threshold update ratio, the integral value, and the basic threshold, determine the updated basic threshold.

[0082] Step 506: Based on a preset proportional coefficient and the updated basic threshold, determine the updated dynamic peak detection threshold.

[0083] Exemplarily, a method for updating the peak detection threshold is as follows:

[0084]

[0085] Among them, is the base threshold, i represents the i-th update, Rb is the update ratio of the base threshold, S is the integral value corresponding to all inflection points of the integral signal during the period from the previous update threshold to the current update threshold, and R1 and R2 are the proportionality coefficients for converting the base threshold into the first-level threshold Thr1 and the second-level threshold Thr2, respectively.

[0086] In this embodiment, in the process of updating the dynamic peak detection threshold, determining the integral value corresponding to the inflection point of the integral signal of the historical electrocardiogram signal and updating with a preset proportional system helps to process dynamically according to the actual signal situation, thereby helping to improve the accuracy and real-time performance of target peak detection.

[0087] In one embodiment, as Figure 6 shown, step 404 includes:

[0088] Step 602: Obtain the historical feature sampling signal within the update period, and determine the inflection point interval data corresponding to the inflection point of the integral signal corresponding to the historical feature sampling signal;

[0089] Step 604: Based on a preset window length update ratio and the inflection point interval data, determine the updated dynamic integration window length.

[0090] Exemplarily, a method for updating the integration window length is as follows:

[0091]

[0092] Among them, L is the base threshold, TTI is the update ratio of the base threshold, and TTI is the inflection point interval corresponding to all inflection points of the integral signal during the period from the previous update window length to the current update window length.

[0093] In this embodiment, in the process of updating the dynamic integration window length, obtaining the inflection point interval data helps to determine the actual inflection point interval according to the historical feature sampling signal, thereby realizing dynamic update, helping to improve the matching degree between the dynamic integration window length and the actual signal, and thus improving the accuracy of R wave detection.

[0094] In one embodiment, as Figure 7 shown, step 404 further includes:

[0095] Step 702: If the target peak is not detected within a preset detection window, initialize the dynamic integration window length and the dynamic peak detection threshold in the detection algorithm;

[0096] Step 704: Process the feature sampling signal based on the initialized dynamic integration window length and the dynamic peak detection threshold.

[0097] In this embodiment, in the process of R wave detection, if the target peak is not detected within the preset detection window, the detection algorithm is initialized, which helps to reduce the possibility of the situation that the R peak cannot be recognized for a long time due to pulse interference, thereby improving the stability of the system.

[0098] In one embodiment, as Figure 8 shown, step 402 includes:

[0099] Step 802: Obtain several groups of regional sampling signals corresponding to different sampling regions of the target object in the feature sampling signal, and obtain the common-mode signal of the regional sampling signal;

[0100] Step 804: Feed back the common-mode signal to the preamplifier of the target device, and perform negative feedback adjustment on the feature sampling signal based on the common-mode signal.

[0101] Exemplarily, the present invention adopts the method of taking the average of LA, RA, and LL and performing negative feedback closed-loop control to improve the common-mode rejection ratio, and the differential-mode signal is not affected. From the knowledge of the virtual open of the operational amplifier and Kirchhoff's current law, it can be obtained that:

[0102]

[0103] Among them, V1 is the output voltage of RA, V2 is the output voltage of LA, V3 is the output voltage of LL, and V4 is the input voltage of RL.

[0104] After calculation, it is obtained that

[0105]

[0106] Since U48A constitutes an emitter follower, then it can be obtained that

[0107]

[0108] And U48B is an inverting amplifier composed of the operational amplifier OPA2376, and the feedback coefficient F = -101, that is, the electrocardiogram signals from the patient are averaged and amplified 100 times and then added to the right leg for closed-loop control.

[0109] In this embodiment, by taking the average of the regional sampling signals corresponding to different regions such as LA, RA, and LL and performing negative feedback closed-loop control, the common-mode rejection ratio of the system can be effectively improved while maintaining the integrity of the differential-mode signal.

[0110] In a specific embodiment, as Figure 9 shown,Figure 9 The flowchart of R wave detection in a specific embodiment of the present application is shown.

[0111] In specific implementation, through the processing steps of the electrocardiogram signal in the above specific example and the setting of exemplary parameters, the following technical effects can be achieved:

[0112] High R wave recognition accuracy: In an environment with a high-voltage pulse output of up to 2500V with an extremely narrow pulse width, it is possible to adaptively adjust the integration window length according to the QRS width, which can avoid recognizing wider noise interference as R peaks and prevent misjudgment and missed detection of R peaks.

[0113] Good real-time performance of R wave recognition: Integrate the differential signal directly, and the inflection point of the integrated signal can be detected at the next sampling point after the R peak vertex, immediately responding to the R peak. The delay is the same as the signal sampling interval, with good real-time performance, and the R wave detection delay can be controlled within 40ms.

[0114] Enhanced common-mode rejection ability: The right leg drive circuit takes the average value of the human body's common-mode voltage and adds it to the human body in the reverse direction, performing negative feedback closed-loop control on the input electrocardiogram signal, greatly compensating for the deficiency of the common-mode rejection ability of the operational amplifier circuit in the preprocessing unit and reducing the amplitude of power frequency interference.

[0115] Through the high-voltage electric field electrocardiogram synchronous pulse triggering method of the present application, it is possible to synchronize the pulse output of the pulsed electric field ablation system with the R wave, avoid possible interference of the high-voltage electric field on the electrocardiac activity during the ablation process, cause arrhythmia, and improve the safety of the pulsed electric field ablation system during the treatment process.

[0116] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0117] Based on the same inventive concept, an embodiment of the present application further provides a high-voltage electric field electrocardiogram synchronous pulse triggering device for implementing a high-voltage electric field electrocardiogram synchronous pulse triggering method involved above. The implementation solution provided by this device for solving problems is similar to the implementation solution described in the above method. Therefore, the specific limitations in one or more embodiments of the high-voltage electric field electrocardiogram synchronous pulse triggering device provided below can refer to the limitations for the high-voltage electric field electrocardiogram synchronous pulse triggering method in the above text, and will not be elaborated here.

[0118] In one embodiment, as Figure 10 shown, a high-voltage electric field electrocardiogram synchronous pulse triggering device is provided, including: a sampling module, a detection module, a driving signal module, and a driving control module, where:

[0119] The sampling module is configured to, in response to the startup of the target device, perform feature sampling on the target object to obtain a feature sampling signal, where the feature sampling signal includes an electrocardiogram signal;

[0120] The detection module is configured to process the feature sampling signal based on a preset detection algorithm to obtain waveform features in the electrocardiogram signal. The detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a basic threshold and historical feature sampling signals within an associated update period;

[0121] The driving signal module is configured to determine target peak information in the electrocardiogram signal based on the waveform features, and generate a pulse driving timing signal that matches the target peak information;

[0122] The driving control module is configured to drive the target device to achieve electrocardiogram synchronous pulse triggering based on the pulse driving timing signal.

[0123] In one of the embodiments, the detection module includes:

[0124] An inflection point integration module, configured to obtain the historical feature sampling signals within the update period, and determine the integration value corresponding to the integration signal inflection point corresponding to the historical feature sampling signals;

[0125] A threshold update module, configured to determine an updated basic threshold based on a preset threshold update ratio, the integration value, and the basic threshold;

[0126] A dynamic peak detection threshold module, configured to determine an updated dynamic peak detection threshold based on a preset proportional coefficient and the updated basic threshold.

[0127] In one of the embodiments, the detection module includes:

[0128] An inflection point interval module, configured to obtain the historical feature sampling signal within the update period, and determine inflection point interval data corresponding to an inflection point of an integral signal corresponding to the historical feature sampling signal;

[0129] A dynamic integration window length module, configured to determine the updated dynamic integration window length based on a preset window length update ratio and the inflection point interval data.

[0130] In one embodiment, the detection module further includes:

[0131] An initialization module, configured to initialize the dynamic integration window length and the dynamic peak detection threshold in the detection algorithm if no target peak is detected within a preset detection window;

[0132] An initialization detection module, configured to process the feature sampling signal based on the initialized dynamic integration window length and the dynamic peak detection threshold.

[0133] In one embodiment, the sampling module includes:

[0134] A common-mode signal module, configured to obtain several groups of regional sampling signals corresponding to different sampling regions of the target object in the feature sampling signal, and obtain the common-mode signal of the regional sampling signals;

[0135] A feedback adjustment module, configured to feedback the common-mode signal to a preamplifier of the target device to perform negative feedback adjustment on the feature sampling signal based on the common-mode signal.

[0136] Each module in the above-mentioned high-voltage electric field electrocardiogram synchronous pulse triggering device can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor in the computer device in hardware form or be independent of it, or can be stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the above-mentioned respective modules.

[0137] In one embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as shown in Figure 11As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for triggering an electrocardiogram synchronous pulse in a high-voltage electric field. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0138] Those skilled in the art can understand that Figure 11 the structure shown in the figure is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have a different component layout.

[0139] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0140] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0141] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0142] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0143] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0144] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0145] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A high-voltage electric field electrocardiogram synchronous pulse triggering method, characterized in that, The method includes: In response to the startup of a target device, performing feature sampling on a target object to obtain a feature sampling signal, where the feature sampling signal includes an electrocardiogram (ECG) signal; Processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period; Determining target peak information in the ECG signal based on the waveform features, and generating a pulse drive timing signal that matches the target peak information; Driving the target device based on the pulse drive timing signal to achieve ECG synchronous pulse triggering.

2. The method according to claim 1, characterized in that, The processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period includes: Obtaining the historical feature sampling signals within the update period, and determining an integration value corresponding to an inflection point of an integration signal corresponding to the historical feature sampling signals; Determining an updated base threshold based on a preset threshold update ratio, the integration value, and the base threshold; Determining the updated dynamic peak detection threshold based on a preset proportionality coefficient and the updated base threshold.

3. The method according to claim 1, wherein The processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal, where the detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a base threshold and historical feature sampling signals within an associated update period includes: Obtaining the historical feature sampling signals within the update period, and determining inflection point interval data corresponding to an inflection point of an integration signal corresponding to the historical feature sampling signals; Determining the updated dynamic integration window length based on a preset window length update ratio and the inflection point interval data.

4. The method according to claim 1, characterized in that, The processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the ECG signal further includes: If no target peak is detected within a preset detection window, initializing the dynamic integration window length and the dynamic peak detection threshold in the detection algorithm; Processing the feature sampling signal based on the initialized dynamic integration window length and the dynamic peak detection threshold.

5. The method according to any one of claims 1 to 4, characterized in that The performing feature sampling on a target object in response to the startup of a target device and obtaining a feature sampling signal, where the feature sampling signal includes an ECG signal, includes: Obtaining a plurality of groups of regional sampling signals corresponding to different sampling regions of the target object in the feature sampling signal, and obtaining a common mode signal of the regional sampling signals; Feeding back the common mode signal to a preamplifier of the target device, and performing negative feedback adjustment on the feature sampling signal based on the common mode signal.

6. A pulsed electric field ablation system, characterized in that, The system includes: An ablation catheter for delivering a high-voltage pulsed electric field to a target tissue; A control terminal connected to the ablation catheter for driving and controlling the high-voltage pulsed electric field based on a high-voltage electric field electrocardiogram synchronous pulse triggering method according to any one of claims 1 to 5.

7. A high-voltage electric field electrocardiogram synchronous pulse triggering device, characterized in that, The device includes: A sampling module for performing feature sampling on a target object in response to the startup of a target device to obtain a feature sampling signal, where the feature sampling signal includes an electrocardiogram signal; A detection module for processing the feature sampling signal based on a preset detection algorithm to obtain waveform features in the electrocardiogram signal. The detection algorithm is implemented based on a dynamic integration window length and a dynamic peak detection threshold, and the dynamic integration window length and the dynamic peak detection threshold are determined based on a basic threshold and historical feature sampling signals within an associated update period; A drive signal module for determining target peak information in the electrocardiogram signal based on the waveform features and generating a pulse drive timing signal matching the target peak information; A drive control module for driving the target device based on the pulse drive timing signal to achieve electrocardiogram synchronous pulse triggering.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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