A method and device for identifying and processing electrical signals in an implantable closed-loop system

Abstract

The embodiments of this specification disclose a method and device for identifying and processing electrical signals in an implantable closed-loop system, including: collecting bioelectric signals at the target target position; identifying whether the collected bioelectric signals meet the constraints of triggering stimulation based on the first type of detection algorithm; if they meet the constraints, releasing the stimulation signal to the target target position, and recording the first type of information related to this stimulation; if they do not meet the constraints, judging whether the bioelectric signal is abnormal based on the second type of detection algorithm; if abnormal, recording the second type of information related to the abnormal bioelectric signal. In this way, early stimulation intervention is performed during the attack to suppress the onset of the disease; recording is performed between the attacks of the disease as a prognostic reference, and the recorded information of the abnormal bioelectric signals between the attacks can be effectively used to predict the disease or adjust the stimulation diagnosis and treatment plan, effectively reducing the number of stimulations of the closed-loop system, extending the service life of the equipment, and improving and optimizing the diagnosis and treatment effect.

Description

Technical Field

[0001] This document relates to the field of medical device technology, and in particular to a method and device for identifying and processing electrical signals in an implantable closed-loop system. Background Art

[0002] At present, implantable medical devices have been widely used in clinical medicine to help patients diagnose and treat their conditions. Among them, implantable electrical stimulation devices mainly include implantable electrical pulse generators implanted in the body, stimulation electrodes, and external controllers. The electrical stimulation pulses generated by the implantable electrical pulse generator are transmitted to the stimulation electrodes, which then electrically stimulate specific neural targets, thereby diagnosing and treating Parkinson's disease, epilepsy and other diseases.

[0003] However, in the process of diagnosis and treatment, abnormal bioelectric signals that are not enough to cause an attack of the disease are often not processed. And abnormal bioelectric signals that trigger intervention stimulation often cause over-stimulation due to patient intolerance and other reasons. Summary of the invention

[0004] The purpose of one or more embodiments of the present specification is to provide a method and device for identifying and processing electrical signals in an implantable closed-loop system, so as to reduce the number of stimulations implemented in the closed-loop system, extend the service life of the implantable device, and optimize and improve the diagnosis and treatment effects.

[0005] To solve the above technical problems, one or more embodiments of this specification are implemented as follows:

[0006] In a first aspect, a method for identifying and processing electrical signals in an implantable closed-loop system is proposed, which is applied to the implantable closed-loop system. The method comprises:

[0007] Collecting bioelectric signals at the target location;

[0008] Identify whether the collected bioelectric signal meets the constraint condition of triggering stimulation based on the first type of detection algorithm;

[0009] If the conditions are met, a stimulation signal is released to the target position, and the first type of information related to the stimulation is recorded;

[0010] If not, determining whether the bioelectric signal is abnormal based on the second type of detection algorithm;

[0011] If abnormal, the second type of information related to the abnormal bioelectric signal is recorded.

[0012] In a second aspect, an electrical signal recognition and processing device in an implantable closed-loop system is proposed, which is applied to the implantable closed-loop system, and the device includes:

[0013] An acquisition module, used for acquiring bioelectric signals at the target location;

[0014] An identification module, used to identify whether the collected bioelectric signal meets the constraint condition of triggering stimulation based on the first type of detection algorithm;

[0015] A stimulation module, configured to release a stimulation signal to the target point if the conditions are met, and record the first type of information related to the stimulation;

[0016] A judgment module, used for judging whether the bioelectric signal is abnormal based on a second type of detection algorithm if the condition is not satisfied;

[0017] The recording module is used to record the second type of information related to the abnormal bioelectric signal if it is abnormal.

[0018] In a third aspect, an implantable closed-loop system is proposed, including an electrical signal recognition and processing device in the implantable closed-loop system.

[0019] It can be seen from the technical solutions provided by one or more embodiments of the present specification that the bioelectric signal at the target target position is collected; based on the first type of detection algorithm, it is identified whether the collected bioelectric signal meets the constraint conditions for triggering stimulation; if it does, the stimulation signal is released to the target target position, and the first type of information related to this stimulation is recorded; if it does not meet the constraint conditions, the second type of detection algorithm is used to determine whether the bioelectric signal is abnormal; if it is abnormal, the second type of information related to the abnormal bioelectric signal is recorded. The embodiments of the present specification not only record the abnormal bioelectric signals during the attack, but also classify and record the abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, early stimulation intervention is performed during the attack to suppress the onset of the disease; recording is performed between the onset of the disease as a prognostic reference for specific therapies, and the recorded information of the abnormal bioelectric signals between the onsets can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reducing the number of stimulations of the closed-loop system, extending the service life of the implantable device, and improving and optimizing the diagnosis and treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the description of one or more embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0021] Figure 1 This is one of the step diagrams of an electrical signal recognition and processing method in an implantable closed-loop system provided in an embodiment of this specification.

[0022] Figure 2 This is the second step schematic diagram of an electrical signal recognition and processing method in an implantable closed-loop system provided in an embodiment of this specification.

[0023] Figure 3 This is the third step schematic diagram of an electrical signal recognition and processing method in an implantable closed-loop system provided in an embodiment of this specification.

[0024] Figure 4 This is one of the structural schematic diagrams of an electrical signal recognition and processing device in an implantable closed-loop system provided in an embodiment of this specification.

[0025] Figure 5 This is the second structural schematic diagram of an electrical signal recognition and processing device in an implantable closed-loop system provided in an embodiment of this specification.

[0026] Figure 6 This is the third structural schematic diagram of an electrical signal recognition and processing device in an implantable closed-loop system provided in an embodiment of this specification.

[0027] Figure 7 It is a schematic diagram of the structure of an electronic device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. Obviously, the one or more embodiments described are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0029] Embodiment 1

[0030] Reference Figure 1 FIG. 1 is a schematic diagram of the steps of a method for identifying and processing an electrical signal in an implantable closed-loop system provided in an embodiment of the present specification. The electrical signal may be a bioelectric signal. The bioelectric signal processing solution is applied to an implantable closed-loop system. The method may include the following steps:

[0031] Step 102: Collecting bioelectric signals at the target location.

[0032] Specifically, the bioelectric signals are collected by electrodes implanted at the target location and buffered in the MCU.

[0033] Step 104: Based on the first type of detection algorithm, identify whether the collected bioelectric signal meets the constraint conditions for triggering stimulation; if yes, execute step 106; otherwise, execute step 108.

[0034] The first type of detection algorithm may include: line length algorithm, area algorithm, half-wave algorithm and other detection algorithms; if a disease attack is detected, for example, an epileptic attack, then it is determined that the constraint conditions for triggering stimulation are met. It can be seen that the constraint conditions for triggering stimulation are the conditions in which the first type of detection algorithm detects the onset of the disease. Specifically, it can be abnormal frequency, or a sudden increase in amplitude exceeding a threshold, etc. The parameter benchmark can be flexibly set according to the detection requirements.

[0035] Step 106: releasing a stimulation signal to the target position, and recording the first type of information related to this stimulation.

[0036] When the first type of detection algorithm is used to identify that the current bioelectric signal meets the conditions for triggering stimulation, the stimulation signal is released to the target position, that is, stimulation treatment is performed to terminate the onset of the disease. And the first type of information related to this stimulation is recorded. The specific recording process can be sending the bioelectric signal cached by the MCU to the FRAM. Among them, the first type of information includes at least: the contacts, amplitude, frequency, pulse width, duration, etc. used in this stimulation; and the waveform, frequency, duration, etc. of the abnormal bioelectric signal intervened by this stimulation.

[0037] Step 108: Determine whether the bioelectric signal is abnormal based on the second type of detection algorithm; if it is abnormal, execute step 110, otherwise, do nothing.

[0038] The second type of detection algorithm targets abnormal bioelectric signals in the interictal period, and detects low-frequency (1-10 Hz) spike-slow complex waves, sharp-slow complex waves, etc. that are different from the background interval. The implementation method includes half-wave algorithm, etc. It should be understood that the detection judgment in step 108 is a detection process for abnormal bioelectric signals that are not sufficient to trigger stimulation, that is, it is necessary to detect such abnormal signals. Among them, the interictal period refers to the period when the disease is not in progress.

[0039] Step 110: Record the second type of information related to the abnormal bioelectric signal.

[0040] The second type of information includes: the waveform, frequency, duration of the bioelectric signal that is abnormal but does not trigger intervention, and time information for analyzing rhythmicity, etc. The recording process is similar to the first type of information.

[0041] It can be seen that the embodiments of this specification not only record abnormal bioelectric signals during the attack, but also classify and record abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, the recorded information of abnormal bioelectric signals during the interictal period can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reduce the number of stimulations in the closed-loop system, extend the service life of the implantable device, and improve and optimize the diagnosis and treatment effect.

[0042] Further, refer to Figure 2 As shown, the method also includes:

[0043] Step 112: Based on the recorded second type of information related to the abnormal bioelectric signal, the detection parameters set in the first type of detection algorithm and / or the generated stimulation method are adjusted.

[0044] Therefore, when there is no significant decrease in the second type of information, it can indicate that the first type of detection algorithm has a poor prognosis, prompting the doctor to adjust the detection parameters or stimulation scheme of the first type of detection algorithm.

[0045] A feasible solution is to refer to Figure 3 As shown, the method also includes:

[0046] Step 114: Determine an intervention prediction strategy based on the recorded first-category information and second-category information.

[0047] Specifically, the onset patterns of the disease can be summarized based on the bioelectric signals during or between attacks, for example, whether an attack will occur during sleep, whether abnormal EEG signals will be generated during sleep but not enough to cause an attack. These can be used as strategies to predict the disease and decide whether to intervene in advance or just record without intervention in the future.

[0048] Step 116: Based on the intervention prediction strategy, the bioelectric signal at the newly acquired target point position is detected and analyzed;

[0049] Step 118: If it is determined that the detected bioelectric signal meets the intervention prediction strategy, then the intervention stimulation is performed in advance, and the first type of information related to this stimulation is recorded;

[0050] Step 120: If it is determined that the detected bioelectric signal does not satisfy the intervention prediction strategy, only the second type of information related to the abnormal bioelectric signal is recorded.

[0051] It should be understood that the bioelectric signals involved in the embodiments of this specification may at least include: electroencephalogram signals, or deep brain electrophysiological signals, or cortical bioelectric signals, or central nervous system signals, etc.

[0052] The embodiments of this specification collect bioelectric signals at the target location; based on the first type of detection algorithm, identify whether the collected bioelectric signals meet the constraints of triggering stimulation; if they do, release the stimulation signal to the target location, and record the first type of information related to this stimulation; if they do not, determine whether the bioelectric signal is abnormal based on the second type of detection algorithm; if abnormal, record the second type of information related to the abnormal bioelectric signal. The embodiments of this specification not only record the abnormal bioelectric signals during the attack, but also classify and record the abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, early stimulation intervention is performed during the attack to suppress the onset of the disease; recording is performed between the onset of the disease as a prognostic reference for specific therapies, and the recorded information of the abnormal bioelectric signals between the onsets can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reducing the number of stimulations of the closed-loop system, extending the service life of the implantable device, and improving and optimizing the diagnosis and treatment effect.

[0053] Embodiment 2

[0054] Reference Figure 4 As shown, an electrical signal recognition and processing device in an implantable closed-loop system provided by an embodiment of this specification is applied to an implantable closed-loop system, and the device includes:

[0055] The acquisition module 402 is used to acquire the bioelectric signal at the target location;

[0056] An identification module 404, configured to identify whether the collected bioelectric signal meets the constraint condition for triggering stimulation based on the first type of detection algorithm;

[0057] The stimulation module 406 is used to release a stimulation signal to the target point position if the conditions are met, and record the first type of information related to the stimulation;

[0058] A judgment module 408, configured to judge whether the bioelectric signal is abnormal based on a second type of detection algorithm if the condition is not satisfied;

[0059] The recording module 410 is used to record the second type of information related to the abnormal bioelectric signal if it is abnormal.

[0060] Optionally, as an embodiment, refer to Figure 5 As shown, the device also includes:

[0061] The adjustment module 412 is used to adjust the detection parameters and / or the generated stimulation mode set in the first type of detection algorithm based on the recorded second type of information related to the abnormal bioelectric signal.

[0062] In a specific implementation of the embodiment of this specification, refer to Figure 6 As shown, the device also includes:

[0063] A determination module 414, for determining an intervention prediction strategy based on the recorded first type of information and second type of information;

[0064] A detection module 416, configured to detect and analyze the newly acquired bioelectric signals at the target location based on the intervention prediction strategy;

[0065] The stimulation module 406 is further configured to perform intervention stimulation in advance if it is determined that the bioelectric signal detected by the detection module satisfies the intervention prediction strategy, and record the first type of information related to the stimulation;

[0066] The recording module 410 is further configured to record only the second type of information related to the abnormal bioelectric signal if it is determined that the detected bioelectric signal does not satisfy the intervention prediction strategy.

[0067] In a specific implementation of the embodiment of this specification, the first type of information at least includes:

[0068] The contact points, amplitude, frequency, pulse width, duration, etc. used in this stimulation; and the waveform, frequency, duration, etc. of the abnormal bioelectric signal intervened by this stimulation;

[0069] The second category of information includes: the waveform, frequency, and duration of bioelectric signals that are abnormal but do not trigger intervention, as well as time information used to analyze rhythmicity.

[0070] The embodiments of this specification collect bioelectric signals at the target location; based on the first type of detection algorithm, identify whether the collected bioelectric signals meet the constraints of triggering stimulation; if they do, release the stimulation signal to the target location, and record the first type of information related to this stimulation; if they do not, determine whether the bioelectric signal is abnormal based on the second type of detection algorithm; if abnormal, record the second type of information related to the abnormal bioelectric signal. The embodiments of this specification not only record the abnormal bioelectric signals during the attack, but also classify and record the abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, early stimulation intervention is performed during the attack to suppress the onset of the disease; recording is performed between the onset of the disease as a prognostic reference for specific therapies, and the recorded information of the abnormal bioelectric signals between the onsets can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reducing the number of stimulations of the closed-loop system, extending the service life of the implantable device, and improving and optimizing the diagnosis and treatment effect.

[0071] Embodiment 3

[0072] The embodiment of the present specification also provides an implantable closed-loop system, including the electrical signal recognition and processing device in the implantable closed-loop system, and also includes an external device and other existing functional modules.

[0073] The functions and effects of the implantable system can be achieved with reference to the first embodiment, and will not be described in detail here.

[0074] It can be seen that the embodiments of this specification not only record abnormal bioelectric signals during the attack, but also classify and record abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, the recorded information of abnormal bioelectric signals during the interictal period can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reduce the number of stimulations in the closed-loop system, extend the service life of the implantable device, and improve and optimize the diagnosis and treatment effect.

[0075] Embodiment 4

[0076] Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this specification. Figure 7 At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the electronic device may also include hardware required for other services.

[0077] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0078] The memory is used to store the program. Specifically, the program may include a program code, and the program code includes a computer operation instruction. The memory may include a memory and a non-volatile memory, and provides instructions and data to the processor.

[0079] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a bioelectric signal processing device at the logical level. The processor executes the program stored in the memory and is specifically used to perform the following operations:

[0080] Collecting bioelectric signals at the target location;

[0081] Identify whether the collected bioelectric signal meets the constraint condition of triggering stimulation based on the first type of detection algorithm;

[0082] If the conditions are met, a stimulation signal is released to the target position, and the first type of information related to the stimulation is recorded;

[0083] If not, determining whether the bioelectric signal is abnormal based on the second type of detection algorithm;

[0084] If abnormal, the second type of information related to the abnormal bioelectric signal is recorded.

[0085] The above is as in this manual Figure 1-3 The method performed by the device disclosed in the illustrated embodiment can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in one or more embodiments of this specification can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in one or more embodiments of this specification can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0086] The electronic device may also perform Figure 1-3 The method and the corresponding device are implemented in Figure 1-3 The functions of the illustrated embodiments will not be described in detail in the embodiments of this specification.

[0087] Of course, in addition to software implementation, the electronic device of the embodiments of this specification does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0088] The embodiments of this specification collect bioelectric signals at the target location; based on the first type of detection algorithm, identify whether the collected bioelectric signals meet the constraints of triggering stimulation; if they do, release the stimulation signal to the target location, and record the first type of information related to this stimulation; if they do not, determine whether the bioelectric signal is abnormal based on the second type of detection algorithm; if abnormal, record the second type of information related to the abnormal bioelectric signal. The embodiments of this specification not only record the abnormal bioelectric signals during the attack, but also classify and record the abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, early stimulation intervention is performed during the attack to suppress the onset of the disease; recording is performed between the onset of the disease as a prognostic reference for specific therapies, and the recorded information of the abnormal bioelectric signals between the onsets can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reducing the number of stimulations of the closed-loop system, extending the service life of the implantable device, and improving and optimizing the diagnosis and treatment effect.

[0089] Embodiment 4

[0090] The embodiment of the present specification also provides a computer-readable storage medium, which stores one or more programs, wherein the one or more programs include instructions, which, when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to execute Figure 1-3 The method of the embodiment shown is specifically used to perform the following method:

[0091] Collecting bioelectric signals at the target location;

[0092] Identify whether the collected bioelectric signal meets the constraint condition of triggering stimulation based on the first type of detection algorithm;

[0093] If the conditions are met, a stimulation signal is released to the target position, and the first type of information related to the stimulation is recorded;

[0094] If not, determining whether the bioelectric signal is abnormal based on the second type of detection algorithm;

[0095] If abnormal, the second type of information related to the abnormal bioelectric signal is recorded.

[0096] The embodiments of this specification collect bioelectric signals at the target location; based on the first type of detection algorithm, identify whether the collected bioelectric signals meet the constraints of triggering stimulation; if they do, release the stimulation signal to the target location, and record the first type of information related to this stimulation; if they do not, determine whether the bioelectric signal is abnormal based on the second type of detection algorithm; if abnormal, record the second type of information related to the abnormal bioelectric signal. The embodiments of this specification not only record the abnormal bioelectric signals during the attack, but also classify and record the abnormal bioelectric signals that are not sufficient to cause stimulation during the interictal period. In this way, early stimulation intervention is performed during the attack to suppress the onset of the disease; recording is performed between the onset of the disease as a prognostic reference for specific therapies, and the recorded information of the abnormal bioelectric signals between the onsets can be effectively used to predict the onset of the disease or adjust the stimulation diagnosis and treatment plan, effectively reducing the number of stimulations of the closed-loop system, extending the service life of the implantable device, and improving and optimizing the diagnosis and treatment effect.

[0097] In short, the above description is only a preferred embodiment of this specification and is not intended to limit the protection scope of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification shall be included in the protection scope of this specification.

[0098] The systems, devices, modules or units described in one or more of the above embodiments may be implemented by a computer chip or entity, or by a product having a certain function. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0099] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0100] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0101] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0102] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for identifying and processing electrical signals in an implantable closed-loop system, characterized in that: Applied to an implantable closed-loop system, the method comprises: Collecting bioelectric signals at the target location; Identify whether the collected bioelectric signal meets the constraint condition of triggering stimulation based on a first type of detection algorithm; the first type of detection algorithm includes a line length algorithm and an area algorithm; If the conditions are met, a stimulation signal is released to the target position, and the first type of information related to the stimulation is recorded; If not, judging whether the bioelectric signal is abnormal based on a second type of detection algorithm; the second type of detection algorithm includes a half-wave algorithm; If abnormal, the second type of information related to the abnormal bioelectric signal is recorded; Based on the recorded second type of information related to the abnormal bioelectric signal, adjusting the detection parameters and the generated stimulation mode set in the first type of detection algorithm; Determine the intervention prediction strategy based on the recorded first and second information; Based on the intervention prediction strategy, detecting and analyzing the bioelectric signals at the newly collected target location; If it is determined that the detected bioelectric signal meets the intervention prediction strategy, the intervention stimulation is performed in advance, and the first type of information related to this stimulation is recorded; If it is determined that the detected bioelectric signal does not satisfy the intervention prediction strategy, only the second type of information related to the abnormal bioelectric signal is recorded.

2. The method for identifying and processing electrical signals in an implantable closed-loop system according to claim 1, characterized in that: The first type of information at least includes: The contact points, amplitude, frequency, pulse width, and duration used in this stimulation; and the waveform, frequency, and duration of the abnormal bioelectric signal intervened by this stimulation; The second type of information includes: The waveform, frequency, duration, and timing information of bioelectric signals that are abnormal but do not trigger intervention are used to analyze rhythmicity.

3. An electrical signal recognition and processing device in an implantable closed-loop system, characterized in that: Applied in an implantable closed-loop system, the device comprises: An acquisition module, used for acquiring bioelectric signals at the target location; An identification module, used to identify whether the collected bioelectric signal meets the constraint condition of triggering stimulation based on a first type of detection algorithm; the first type of detection algorithm includes a line length algorithm and an area algorithm; A stimulation module, configured to release a stimulation signal to the target point if the conditions are met, and record the first type of information related to the stimulation; A judgment module, for judging whether the bioelectric signal is abnormal based on a second type of detection algorithm if the condition is not satisfied; the second type of detection algorithm includes a half-wave algorithm; a recording module, for recording the second type of information related to the abnormal bioelectric signal if it is abnormal; an adjustment module, configured to adjust the detection parameters and the generated stimulation modes set in the first detection algorithm based on the recorded second information related to the abnormal bioelectric signal; A determination module, for determining an intervention prediction strategy based on the recorded first type of information and second type of information; A detection module, used for detecting and analyzing the bioelectric signals at the newly collected target point location based on the intervention prediction strategy; The stimulation module is further configured to perform intervention stimulation in advance if it is determined that the bioelectric signal detected by the detection module satisfies the intervention prediction strategy, and record the first type of information related to the stimulation; The recording module is further configured to record only the second type of information related to the abnormal bioelectric signal if it is determined that the detected bioelectric signal does not satisfy the intervention prediction strategy.

4. The electrical signal recognition and processing device in the implantable closed-loop system according to claim 3, characterized in that: The first type of information at least includes: The stimulation contacts, amplitude, frequency, pulse width, and duration used in this stimulation; and the waveform, frequency, and duration of the abnormal bioelectric signal intervened by this stimulation; The second type of information includes: The waveform, frequency, duration, and timing information of abnormal bioelectric signals that did not trigger intervention are used to analyze rhythmicity.

5. An implantable closed-loop system, characterized in that: The invention comprises the electrical signal recognition and processing device in the implantable closed-loop system as described in claim 3 or 4.

Images