Adaptive closed-loop detection method and system for implantable electrical stimulation device

Abstract

One or more embodiments of this specification disclose an adaptive closed-loop detection method and system for an implantable electrical stimulation device. The adaptive closed-loop detection method for an implantable electrical stimulation device includes: setting an expected detection rate and an initial detection threshold; performing closed-loop detection of a sampling signal within a current set time period based on the initial detection threshold to obtain a current detection rate; comparing the current detection rate with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, adaptively modifying the initial detection threshold to continue closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; using the latest modified initial detection threshold as the target detection threshold can improve the detection rate of signal detection, accurately detect symptoms, and thus intervene in symptoms in a timely manner.

Description

Technical Field

[0001] This document relates to the field of medical device technology, and more particularly to an adaptive closed-loop detection method and system for an implantable electrical stimulation device. Background Art

[0002] At present, implantable medical systems have been widely used in clinical medicine, including implantable electrical stimulation systems, implantable drug injection systems, etc. Among them, implantable electrical stimulation systems include implantable neural electrical stimulation systems and implantable cardiac electrical stimulation systems. Implantable neural electrical stimulation systems mainly include implantable electrical pulse generators, stimulation electrodes, and external controllers implanted in the body. The electrical stimulation pulses generated by the implantable electrical pulse generator are transmitted to the stimulation electrodes, which are then transmitted to specific neural targets for electrical stimulation, thereby treating diseases such as Parkinson's disease and epilepsy.

[0003] Usually, before an implantable electrical pulse generator electrically stimulates a neural target to treat a disease, it collects physiological signals through an acquisition circuit in order to determine whether the patient has or is about to become ill based on the sampled signals. If the disease has already occurred or is about to occur, the implantable electrical pulse generator is adjusted to send electrical stimulation pulses to the stimulation electrodes, thereby intervening or intervening in advance to prevent the occurrence of Parkinson's disease, epilepsy and other diseases. However, the current implantable electrical stimulation devices have a low detection rate for Parkinson's disease, epilepsy and other diseases, resulting in the inability to intervene accurately and in a timely manner. How to improve the detection rate of signal detection, accurately detect the disease, and intervene in the disease in a timely manner has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of one or more embodiments of the present specification is to provide an adaptive closed-loop detection method and system for an implantable electrical stimulation device, which can improve the detection rate of signal detection, accurately detect symptoms, and thus intervene in the symptoms in a timely manner.

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

[0006] In the first aspect, an adaptive closed-loop detection method for an implantable electrical stimulation device is proposed, comprising: setting an expected detection rate and an initial detection threshold; performing closed-loop detection of a sampling signal within a current set time period based on the initial detection threshold to obtain a current detection rate; comparing the current detection rate with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, adaptively modifying the initial detection threshold to continue performing closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; and using the most recently modified initial detection threshold as the target detection threshold.

[0007] In the second aspect, an implantable electrical stimulation device is proposed, including: a setting module for setting an expected detection rate and an initial detection threshold; a detection module for performing closed-loop detection of a sampling signal within a current set time period based on the initial detection threshold to obtain a current detection rate; a comparison module for comparing the current detection rate with the expected detection rate; and, if the current detection rate is not within the set range of the expected detection rate, the detection module is further used to adaptively modify the initial detection threshold to continue to perform closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; and the threshold acquisition module is further used to use the latest modified initial detection threshold as the target detection threshold.

[0008] In a third aspect, an implantable electrical stimulation system is proposed, the system comprising an external device and the implantable electrical stimulation device as described above, the external device being communicatively connected to the implantable electrical stimulation device.

[0009] In a fourth aspect, a storage medium is proposed for computer-readable storage, wherein the storage medium stores one or more programs, and when the one or more programs can be executed by one or more processors, the steps of the adaptive closed-loop detection method as described above are implemented.

[0010] It can be seen from the technical solutions provided by one or more embodiments of the above specification that the present application provides an adaptive closed-loop detection method for an implantable electrical stimulation device. After setting the expected detection rate and the initial detection threshold, the sampling signal closed-loop detection is performed based on the initial detection threshold within the current set time period, and the current detection rate is obtained after the current set time period ends. Next, the current detection rate is compared with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; finally, the latest modified initial detection threshold is used as the target detection threshold. After obtaining the target detection threshold corresponding to the expected detection rate, the target detection threshold can be used to perform closed-loop detection of the sampling signal within the next set time period so that the expected detection rate can be obtained. It can be seen that the adaptive detection method can improve the detection rate of signal detection, so that symptoms can be accurately detected and timely intervention can be made on the symptoms. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] 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.

[0012] Figure 1 It is a schematic diagram of the steps of an adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification.

[0013] Figure 2 It is a schematic diagram of the steps of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification.

[0014] Figure 3 This is a schematic diagram of the steps of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification.

[0015] Figure 4 This is a schematic diagram of the steps of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification.

[0016] Figure 5 This is a schematic diagram of the steps of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification.

[0017] Figure 6 It is a schematic diagram of the structure of an implantable electrical stimulation device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0018] 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.

[0019] The adaptive closed-loop detection method for an implantable electrical stimulation device provided by the present application can improve the detection rate of signal detection, accurately detect symptoms, and thus intervene in the symptoms in a timely manner. The adaptive closed-loop detection method for an implantable electrical stimulation device provided by the present application and its various steps will be described in detail below.

[0020] The implantable electrical stimulation device mentioned in the present application can be implanted in the human body, contact the brain tissue through electrodes, collect the electroencephalographic signals of the human brain tissue, and adjust the stimulation circuit to emit an electric pulse signal after analyzing and judging the information displayed by the sampled signal, thereby intervening in the electroencephalographic signals of the brain tissue.

[0021] Embodiment 1

[0022] Reference Figure 1 As shown, an adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification is applicable to implantable electrical stimulation devices and systems in clinical medicine, and can perform closed-loop detection of sampling signals for patients with epilepsy and other diseases. In the closed-loop detection process, the occurrence of symptoms can be discovered in time or in advance based on the judgment of the sampling signals, so that early intervention treatment can be made to avoid the occurrence of events such as epilepsy. The closed-loop detection mentioned here is to complete the detection process by itself and adaptively modify the initial detection threshold without the need for human interference. The adaptive closed-loop detection method for an implantable electrical stimulation device can improve the detection rate of signal detection and accurately detect symptoms during real-time detection. The adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of this specification includes:

[0023] Step 10: Set the expected detection rate and initial detection threshold;

[0024] First, the expected detection rate is set, which is the expected detection rate expected to be obtained within the current set time period for the next closed-loop detection of the sampling signal. The expected detection rate can be set according to the actual situation of the patient's disease. For example, if the current set time period is one week, the doctor can set the expected detection rate of epilepsy detection within the current set time period to be 80%. The expected detection rate can be stored in the storage chip of the microcontroller unit in the implantable electrical stimulation device. The implantable electrical stimulation device mentioned in this application mainly includes a sampling circuit, a microcontroller unit and a stimulation circuit. The sampling circuit contacts the brain tissue through electrode contacts, collects the electroencephalogram signal of the implantation position through the electrode as a sampling signal, and transmits the sampling signal to the microcontroller unit. The microcontroller unit coordinates the mutual cooperation of each component in the implantable electrical stimulation device, and adjusts the electric pulse signal sent by the stimulation circuit according to the processing result after processing the sampling signal. The stimulation circuit contacts the brain tissue through the electrode contacts, and after receiving the adjustment instruction and the electric stimulation instruction sent by the microcontroller unit, sends an electric pulse to the position where the electrode is implanted.

[0025] The adaptive closed-loop detection method provided in the embodiments of this specification can be applied to timely or early detection of the occurrence of symptoms based on the judgment of the sampling signal during the detection process, which can improve the detection rate of signal detection and accurately detect the symptoms.

[0026] The initial detection threshold can be the correspondence between the expected detection rate and the initial detection threshold obtained by the doctor based on empirical data, or it can be the initial detection threshold directly set by empirical data. The initial detection threshold is an empirical value. Due to individual differences among different patients, the initial detection threshold is not appropriate enough and cannot accurately detect the disease based on the collected sampling signal. The initial detection threshold needs to be further optimized to meet the individual differences of different patients and improve the detection rate.

[0027] When it is uncertain whether the initial detection threshold is appropriate, half of the initial detection threshold can be taken as the initial detection threshold to detect the sampling signal.

[0028] Step 20: Perform closed-loop detection of the sampling signal within the current set time period based on the initial detection threshold to obtain the current detection rate;

[0029] After the initial detection threshold is determined, a closed-loop detection of the sampling signal is performed within the current set time period based on the initial detection threshold until the current set time period ends, and the current detection rate is obtained by statistics.

[0030] Step 30: Compare the current detection rate with the expected detection rate;

[0031] Then, the current detection rate obtained based on the initial detection threshold in the current set time period is compared with the expected detection rate to determine whether the current detection rate reaches the expected detection rate. The comparison here can be a simple comparison of size, or it can be a comparison of the current detection rate with the set range of the expected detection rate to determine whether the current detection rate falls within the set range of the expected detection rate.

[0032] Step 40: If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate;

[0033] If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold that was set originally is adaptively modified, and the modified initial detection threshold is continued to be used for closed-loop detection of the sampling signal. After obtaining the current detection rate within the new current set time period, it is compared with the expected detection rate until the current detection rate is within the set range of the expected detection rate, and then the initial detection threshold is stopped from being modified.

[0034] Step 50: Use the latest modified initial detection threshold as the target detection threshold.

[0035] After stopping modifying the initial detection threshold, the latest modified initial detection threshold is used as the target detection threshold for the next closed-loop detection of the sampling signal.

[0036] Reference Figure 2As shown, in some embodiments, in the adaptive closed-loop detection method provided in the embodiments of this specification, step 40: if the current detection rate is not within the set range of the expected detection rate, adaptively modifying the initial detection threshold to continue the closed-loop detection of the sampling signal specifically includes:

[0037] Step 400: if the current detection rate is less than the lower limit of the set range of the expected detection rate, the initial detection threshold is reduced by half;

[0038] The setting range of the expected detection rate can be set according to actual clinical experience. As long as it is within the setting range of the expected detection rate, it can be considered that the current detection rate roughly meets the expected detection rate. If the current detection rate is less than the lower limit of the setting range of the expected detection rate, it indicates that the initial detection threshold is high, and the abnormal sampling signal that is about to develop symptoms cannot be detected in time during the closed-loop detection of the sampling signal. In this case, the initial detection threshold can be divided by half, and then the closed-loop detection of the sampling signal can be performed according to half of the initial detection threshold.

[0039] Step 410: Perform closed-loop detection of the sampling signal based on the modified initial detection threshold.

[0040] The sampling signal closed-loop detection is performed in the next set time period according to half of the initial detection threshold. The detection threshold here is the modified initial detection threshold, that is, the sampling signal closed-loop detection is performed according to half of the previous initial detection threshold. If the sampling signal is greater than half of the initial detection threshold, the number of detections increases by one.

[0041] It should be noted here that each set time period corresponds to a detection rate and an initial detection threshold.

[0042] Reference Figure 3 As shown, in some embodiments, in the adaptive closed-loop detection method provided in the embodiments of this specification, step 40: if the current detection rate is not within the set range of the expected detection rate, adaptively modifying the initial detection threshold to continue the EEG signal detection specifically includes:

[0043] Step 420: If the current detection rate is greater than the upper limit of the set range of the expected detection rate, the initial detection threshold is doubled;

[0044] The setting range of the expected detection rate can be set according to actual clinical experience. As long as it is within the setting range of the expected detection rate, it can be considered that the current detection rate generally meets the expected detection rate. If the current detection rate is greater than the upper limit of the setting range of the expected detection rate, it indicates that the initial detection threshold is low, and when the closed-loop detection of the sampling signal is performed, even slightly abnormal conditions of the sampling signal are detected, resulting in the inability to accurately distinguish between epilepsy and other diseases that have occurred or are about to occur. In this case, the initial detection threshold can be doubled, and then the closed-loop detection of the sampling signal is performed according to twice the initial detection threshold.

[0045] Step 430: Perform closed-loop detection of the sampling signal based on the modified initial detection threshold.

[0046] Next, the sampling signal closed-loop detection is performed according to twice the initial detection threshold. The detection threshold here is the modified initial detection threshold, that is, the sampling signal closed-loop detection is performed according to twice the previous initial detection threshold. If the sampling signal is greater than the twice initial detection threshold, the number of detections is increased by one.

[0047] Reference Figure 4 As shown, in some embodiments, after step 30: comparing the current detection rate with the expected detection rate, the adaptive closed-loop detection method provided in the embodiment of this specification further includes:

[0048] Step 70: If the current detection rate is within the set range of the expected detection rate, the initial detection threshold is used as the target detection threshold corresponding to the expected detection rate.

[0049] After comparing the current detection rate with the expected detection rate, if the current detection rate is within the set range of the expected detection rate, the initial detection threshold is used as the target detection threshold corresponding to the expected detection rate. Thus, the target detection threshold can be used to perform closed-loop detection of the sampling signal in the next set time period.

[0050] Combine the following Figure 5 A specific embodiment of the adaptive closed-loop detection method for an implantable electrical stimulation device provided by the present application is described in detail as shown in FIG.

[0051] 1. The doctor sets the expected detection rate N of epilepsy within the current set time period and stores it in the storage unit of the microcontroller unit MCU;

[0052] 2. The initial detection threshold of epilepsy is recorded as T1 (1 / 2T1 can be used in case of uncertainty), and the current detection rate obtained after closed-loop acquisition of EEG signals in the current set time period using T1 is recorded as N1;

[0053] 3. Compare the size of N and N1 in the comparator. If N1<0.9N, set T2=1 / 2T1. If N1>1.1N, set T2=2T1.

[0054] 4. Taking T2 as the initial detection threshold, the current detection rate corresponding to the next set time period obtained after the closed-loop collection of EEG signals in the next set time period is recorded as N2;

[0055] 5. Further compare N and N2. If N2<0.9N, then set T3=1 / 2T2. If N2>1.1N, then set T3=2T2. Take T3 as the initial detection threshold, collect EEG signals in a closed loop in the next set time period, and the current detection rate corresponding to the next set time period is recorded as N3.

[0056] 6. Continue to compare N and N3 until 0.9N≤Nm≤1.1N, and obtain the latest modified initial detection threshold Tm, which is the target detection threshold.

[0057] Through the above technical scheme, the present application provides an adaptive closed-loop detection method for an implantable electrical stimulation device, wherein an expected detection rate and an initial detection threshold are set; based on the initial detection threshold, a closed-loop detection of a sampling signal is performed within the current set time period, and the current detection rate is obtained after the current set time period ends. Next, the current detection rate is compared with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; finally, the latest modified initial detection threshold is used as the target detection threshold. After obtaining the target detection threshold corresponding to the expected detection rate, the target detection threshold can be used to perform closed-loop detection of the sampling signal within the next set time period so that the expected detection rate can be obtained. It can be seen that the adaptive detection method can improve the detection rate of signal detection, thereby accurately detecting symptoms and intervening in symptoms in a timely manner.

[0058] Embodiment 2

[0059] Reference Figure 6 As shown, an implantable electrical stimulation device 1 provided in an embodiment of this specification is suitable for an implantable electrical stimulation system in clinical medicine, and can detect sampling signals of patients with epilepsy and other diseases. During the detection process, the occurrence of symptoms can be timely or in advance based on the judgment of the sampling signals, so that early intervention treatment can be carried out to avoid the occurrence of events such as epilepsy. The detection parameter optimization method for the implantable electrical stimulation device can improve the detection rate of signal detection and accurately detect symptoms during real-time detection. The implantable electrical stimulation device includes:

[0060] A setting module 10 is used to set an expected detection rate and an initial detection threshold;

[0061] First, the expected detection rate is set, which is the expected detection rate expected to be obtained within the current set time period for the next closed-loop detection of the sampling signal. The expected detection rate can be set according to the actual situation of the patient's disease. For example, if the current set time period is one week, the doctor can set the expected detection rate of epilepsy detection within the current set time period to be 80%. The expected detection rate can be stored in the storage chip of the microcontroller unit in the implantable electrical stimulation device. The implantable electrical stimulation device mentioned in this application mainly includes a sampling circuit, a microcontroller unit and a stimulation circuit. The sampling circuit contacts the brain tissue through electrode contacts, collects the electroencephalogram signal of the implantation position through the electrode as a sampling signal, and transmits the sampling signal to the microcontroller unit. The microcontroller unit coordinates the mutual cooperation of each component in the implantable electrical stimulation device, and adjusts the electric pulse signal sent by the stimulation circuit according to the processing result after processing the sampling signal. The stimulation circuit contacts the brain tissue through the electrode contacts, and after receiving the adjustment instruction and the electric stimulation instruction sent by the microcontroller unit, sends an electric pulse to the position where the electrode is implanted.

[0062] The adaptive closed-loop detection device provided in the embodiments of this specification can be used to detect the occurrence of symptoms in a timely or early manner according to the judgment of the sampling signal during the detection process, which can improve the detection rate of signal detection and accurately detect the symptoms.

[0063] The initial detection threshold can be a correspondence table between the expected detection rate and the initial detection threshold obtained by the doctor based on empirical data, or it can be an initial detection threshold set by empirical data. The initial detection threshold is an empirical value. Due to individual differences among different patients, the initial detection threshold is not appropriate enough and cannot accurately detect the disease based on the collected sampling signal. The initial detection threshold needs to be further optimized to meet the individual differences of different patients and improve the detection rate.

[0064] When it is uncertain whether the initial detection threshold is appropriate, half of the initial detection threshold can be taken as the initial detection threshold to detect the sampling signal.

[0065] The detection module 20 is used to perform closed-loop detection of the sampling signal within the current set time period based on the initial detection threshold to obtain the current detection rate;

[0066] After determining the initial detection threshold, a closed-loop detection of the sampling signal is performed within the current set time period based on the initial detection threshold. When the sampling signal exceeds the initial detection threshold, the current number of detections is increased by one until the end of the current set time period, and the current detection rate is obtained by statistics.

[0067] A comparison module 30, for comparing the current detection rate with the expected detection rate; and

[0068] Then, the current detection rate obtained based on the initial detection threshold in the current set time period is compared with the expected detection rate to determine whether the current detection rate reaches the expected detection rate. The comparison here can be a simple comparison of the magnitude, or it can be a comparison of the current detection rate with the set range of the expected detection rate to determine whether the current detection rate falls within the set range of the expected detection rate.

[0069] The detection module 20 is further used to modify the initial detection threshold to continue the closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate, until the current detection rate is within the set range of the expected detection rate;

[0070] If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold that was set originally is adaptively modified, and the modified initial detection threshold is continued to be used for closed-loop detection of the sampling signal. After obtaining the current detection rate within the new current set time period, it is compared with the expected detection rate until the current detection rate is within the set range of the expected detection rate, and then the initial detection threshold is stopped from being modified.

[0071] The setting module 10 is also used to use the latest modified initial detection threshold as the target detection threshold.

[0072] After stopping modifying the initial detection threshold, the latest modified initial detection threshold is used as the target detection threshold to perform closed-loop detection of the sampling signal within the next set time period.

[0073] In some embodiments, in the implantable electrical stimulation device provided in the embodiments of this specification, the detection module 20 is specifically used to:

[0074] If the current detection rate is less than the lower limit of the set range of the expected detection rate, the initial detection threshold is reduced by half;

[0075] The setting range of the expected detection rate can be set according to actual clinical experience. As long as it is within the setting range of the expected detection rate, it can be considered that the current detection rate roughly meets the expected detection rate. If the current detection rate is less than the lower limit of the setting range of the expected detection rate, it indicates that the initial detection threshold is high, and the abnormal sampling signal that is about to develop symptoms cannot be detected in advance during the closed-loop detection of the sampling signal. In this case, the initial detection threshold can be divided by half, and then the closed-loop detection of the sampling signal can be performed according to half of the initial detection threshold.

[0076] The sampling signal closed-loop detection is performed based on the modified initial detection threshold.

[0077] The sampling signal closed-loop detection is performed in the next set time period according to half of the initial detection threshold. The detection threshold here is the modified initial detection threshold, that is, the sampling signal closed-loop detection is performed according to half of the previous initial detection threshold. If the sampling signal is greater than half of the initial detection threshold, the number of detections is increased by one.

[0078] It should be noted here that each set time period corresponds to a detection rate and an initial detection threshold.

[0079] In some embodiments, in the implantable electrical stimulation device provided in the embodiments of this specification, the detection module 20 is further specifically used for:

[0080] If the current detection rate is greater than the upper limit of the set range of the expected detection rate, the initial detection threshold is doubled;

[0081] The setting range of the expected detection rate can be set according to actual clinical experience. As long as it is within the setting range of the expected detection rate, it can be considered that the current detection rate generally meets the expected detection rate. If the current detection rate is greater than the upper limit of the setting range of the expected detection rate, it indicates that the initial detection threshold is low, and when the closed-loop detection of the sampling signal is performed, even slightly abnormal conditions of the sampling signal are detected, resulting in the inability to accurately distinguish between epilepsy and other diseases that have occurred or are about to occur. In this case, the initial detection threshold can be doubled, and then the closed-loop detection of the sampling signal is performed according to twice the initial detection threshold.

[0082] The sampling signal closed-loop detection is performed based on the modified initial detection threshold.

[0083] The sampling signal closed-loop detection is performed in the next set time period according to twice the initial detection threshold. The detection threshold here is the modified initial detection threshold, that is, the sampling signal closed-loop detection is performed according to twice the previous initial detection threshold. If the sampling signal is greater than the twice initial detection threshold, the number of detections is increased by one.

[0084] In some embodiments, in the implantable electrical stimulation device provided in the embodiments of this specification, the module 10 is set, after the comparison module 30 compares the current detection rate with the expected detection rate, to further:

[0085] If the current detection rate is within the set range of the expected detection rate, the initial detection threshold is used as the target detection threshold.

[0086] After comparing the current detection rate with the expected detection rate, if the current detection rate is within the set range of the expected detection rate, the initial detection threshold is used as the target detection threshold, so that the target detection threshold can be used to perform closed-loop detection of the sampling signal in the next set time period.

[0087] Through the above technical scheme, the present application provides an implantable electrical stimulation device, which sets the expected detection rate and the initial detection threshold; after determining the expected detection rate and the initial detection threshold, a closed-loop detection of the sampling signal is performed within the current set time period based on the initial detection threshold, and the current detection rate is obtained after the current set time period ends. Next, the current detection rate is compared with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; finally, the latest modified initial detection threshold is used as the target detection threshold. After obtaining the target detection threshold corresponding to the expected detection rate, the target detection threshold can be used to perform closed-loop detection of the sampling signal within the next set time period so that the expected detection rate can be obtained. It can be seen that the adaptive detection method can improve the detection rate of signal detection, so that the disease can be accurately detected and the disease can be intervened in time.

[0088] Embodiment 3

[0089] The present invention provides an implantable electrical stimulation system, including an external device and a Figure 6 The implantable electrical stimulation device shown, the external device is connected to the implantable electrical stimulation device for communication. The implantable electrical stimulation device includes:

[0090] A setting module 10 is used to set an expected detection rate and an initial detection threshold;

[0091] First, the expected detection rate is set, which is the expected detection rate expected to be obtained within the current set time period for the next closed-loop detection of the sampling signal. The expected detection rate can be set according to the actual situation of the patient's disease. For example, if the current set time period is one week, the doctor can set the expected detection rate of epilepsy detection within the current set time period to be 80%. The expected detection rate can be stored in the storage chip of the microcontroller unit in the implantable electrical stimulation device. The implantable electrical stimulation device mentioned in this application mainly includes a sampling circuit, a microcontroller unit and a stimulation circuit. The sampling circuit contacts the brain tissue through electrode contacts, collects the electroencephalogram signal of the implantation position through the electrode as a sampling signal, and transmits the sampling signal to the microcontroller unit. The microcontroller unit coordinates the mutual cooperation of each component in the implantable electrical stimulation device, and adjusts the electric pulse signal sent by the stimulation circuit according to the processing result after processing the sampling signal. The stimulation circuit contacts the brain tissue through the electrode contacts, and after receiving the adjustment instruction and the electric stimulation instruction sent by the microcontroller unit, sends an electric pulse to the position where the electrode is implanted.

[0092] The adaptive closed-loop detection device provided in the embodiments of this specification can be used to detect the occurrence of symptoms in a timely or early manner according to the judgment of the sampling signal during the detection process, which can improve the detection rate of signal detection and accurately detect the symptoms.

[0093] The initial detection threshold can be obtained from the correspondence table between the expected detection rate and the initial detection threshold obtained by the doctor based on empirical data, or the initial detection threshold can be set based on empirical data. The initial detection threshold is an empirical value. Due to individual differences among different patients, the initial detection threshold is not appropriate enough and cannot accurately detect the disease based on the collected sampling signal. The initial detection threshold needs to be further optimized to meet the individual differences of different patients and improve the detection rate.

[0094] When it is uncertain whether the initial detection threshold is appropriate, half of the initial detection threshold can be taken as the initial detection threshold to detect the sampling signal.

[0095] The detection module 20 is used to perform closed-loop detection of the sampling signal within the current set time period based on the initial detection threshold to obtain the current detection rate;

[0096] After determining the initial detection threshold, a closed-loop detection of the sampling signal is performed within the current set time period based on the initial detection threshold. When the sampling signal exceeds the initial detection threshold, the current detection rate is increased once until the end of the current set time period, and the current detection rate is obtained by statistics.

[0097] A comparison module 30, for comparing the current detection rate with the expected detection rate; and

[0098] Then, the current detection rate obtained based on the initial detection threshold in the current set time period is compared with the expected detection rate to determine whether the current detection rate reaches the expected detection rate. The comparison here can be a simple comparison of size, or it can be a comparison of the current detection rate with the set range of the expected detection rate to determine whether the current detection rate falls within the set range of the expected detection rate.

[0099] The detection module 20 is further used to adaptively modify the initial detection threshold to continue closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate, until the current detection rate is within the set range of the expected detection rate;

[0100] If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold that was set at the beginning is modified, and the modified initial detection threshold is continued to be used for closed-loop detection of the sampling signal. After obtaining the current detection rate within the new current set time period, it is compared with the expected detection rate until the current detection rate is within the set range of the expected detection rate, and then the initial detection threshold is stopped from being modified.

[0101] The setting module 10 is also used to use the latest modified initial detection threshold as the target detection threshold.

[0102] After stopping modifying the initial detection threshold, the latest modified initial detection threshold is used as the target detection threshold to perform closed-loop detection of the sampling signal within the next set time period.

[0103] Through the above technical scheme, an implantable electrical stimulation system provided by the present application performs closed-loop detection of sampling signals within the current set time period based on the initial detection threshold after setting the expected detection rate and the initial detection threshold, and obtains the current detection rate after the current set time period ends. Next, the current detection rate is compared with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; finally, the latest modified initial detection threshold is used as the target detection threshold. After obtaining the target detection threshold, the target detection threshold can be used to perform closed-loop detection of the sampling signal within the next set time period so that the expected detection rate can be obtained. It can be seen that the adaptive detection method can improve the detection rate of signal detection, thereby accurately detecting symptoms and intervening in symptoms in a timely manner.

[0104] Embodiment 4

[0105] A storage medium provided in an embodiment of the present specification is used for computer-readable storage, wherein the storage medium stores one or more programs, and when the one or more programs can be executed by one or more processors, the following is implemented: Figures 1 to 5 The steps of the adaptive closed-loop detection method shown specifically include:

[0106] Step 10: Set the expected detection rate and initial detection threshold;

[0107] First, the expected detection rate is set, which is the expected detection rate expected to be obtained within the current set time period for the next closed-loop detection of the sampling signal. The expected detection rate can be set according to the actual situation of the patient's disease. For example, if the current set time period is one week, the doctor can set the expected detection rate of epilepsy detection within the current set time period to be 80%. The expected detection rate can be stored in the storage chip of the microcontroller unit in the implantable electrical stimulation device. The implantable electrical stimulation device mentioned in this application mainly includes a sampling circuit, a microcontroller unit and a stimulation circuit. The sampling circuit contacts the brain tissue through electrode contacts, collects the electroencephalogram signal of the implantation position through the electrode as a sampling signal, and transmits the sampling signal to the microcontroller unit. The microcontroller unit coordinates the mutual cooperation of each component in the implantable electrical stimulation device, and adjusts the electric pulse signal sent by the stimulation circuit according to the processing result after processing the sampling signal. The stimulation circuit contacts the brain tissue through the electrode contacts, and after receiving the adjustment instruction and the electric stimulation instruction sent by the microcontroller unit, sends an electric pulse to the position where the electrode is implanted.

[0108] The adaptive closed-loop detection method provided in the embodiments of this specification can be applied to timely or early detection of the occurrence of symptoms based on the judgment of the sampling signal during the detection process, which can improve the detection rate of signal detection and accurately detect the symptoms.

[0109] The initial detection threshold can be obtained from a correspondence table between the expected detection rate and the initial detection threshold obtained by the doctor based on empirical data, or the initial detection threshold can be directly set based on empirical data. The initial detection threshold is an empirical value. Due to individual differences among different patients, the initial detection threshold is not appropriate enough and cannot accurately detect the disease based on the collected sampling signal. The initial detection threshold needs to be further optimized to meet the individual differences of different patients and improve the detection rate.

[0110] When it is uncertain whether the initial detection threshold is appropriate, half of the initial detection threshold can be taken as the initial detection threshold to detect the sampling signal.

[0111] Step 20: Perform closed-loop detection of the sampling signal within the current set time period based on the initial detection threshold to obtain the current detection rate;

[0112] After determining the initial detection threshold, a closed-loop detection of the sampling signal is performed within the current set time period based on the initial detection threshold. When the sampling signal exceeds the initial detection threshold, the current number of detections is increased by one until the end of the current set time period, and the current detection rate is obtained by statistics.

[0113] Step 30: Compare the current detection rate with the expected detection rate;

[0114] Then, the current detection rate obtained based on the initial detection threshold in the current set time period is compared with the expected detection rate to determine whether the current detection rate reaches the expected detection rate. The comparison here can be a simple comparison of size, or it can be a comparison of the current detection rate with the set range of the expected detection rate to determine whether the current detection rate falls within the set range of the expected detection rate.

[0115] Step 40: If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate;

[0116] If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold that was set at the beginning is modified, and the modified initial detection threshold is continued to be used for closed-loop detection of the sampling signal. After obtaining the current detection rate within the new current set time period, it is compared with the expected detection rate until the current detection rate is within the set range of the expected detection rate, and then the initial detection threshold is stopped from being modified.

[0117] Step 50: The latest modified initial detection threshold is used as the target detection threshold corresponding to the expected detection rate.

[0118] After stopping modifying the initial detection threshold, the latest modified initial detection threshold is used as the target detection threshold to perform closed-loop detection of the sampling signal within the next set time period.

[0119] Through the above technical scheme, the present application provides an adaptive closed-loop detection method for an implantable electrical stimulation device. First, after setting the expected detection rate and the initial detection threshold, a closed-loop detection of the sampling signal is performed within the current set time period based on the initial detection threshold, and the current detection rate is obtained after the current set time period ends. Next, the current detection rate is compared with the expected detection rate; if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate; finally, the latest modified initial detection threshold is used as the target detection threshold. After obtaining the target detection threshold, the target detection threshold can be used to perform closed-loop detection of the sampling signal within the next set time period so that the expected detection rate can be obtained. It can be seen that the adaptive detection method can improve the detection rate of signal detection, thereby accurately detecting symptoms and intervening in symptoms in a timely manner.

[0120] 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.

[0121] 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.

[0122] Computer-readable storage 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.

[0123] 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.

[0124] 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.

[0125] 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. An adaptive closed-loop detection method for an implantable electrical stimulation device, comprising: Setting an expected detection rate and an initial detection threshold, wherein the expected detection rate is the expected detection rate expected to be obtained within a currently set time period for the next closed-loop detection of the sampling signal; Based on the initial detection threshold, a closed-loop detection of a sampling signal is performed within a current set time period to obtain a current detection rate, wherein the sampling signal is an electroencephalogram signal; comparing the current detection rate with the expected detection rate; If the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the closed-loop detection of the sampling signal, and the modified initial detection threshold is continued to continue the closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate, and the initial detection threshold is stopped from being modified; Using the latest modified initial detection threshold as the target detection threshold; If the current detection rate is not within the set range of the expected detection rate, adaptively modifying the initial detection threshold to continue closed-loop detection of the sampling signal specifically includes: If the current detection rate is less than the lower limit of the set range of the expected detection rate, the initial detection threshold is divided by half, wherein the lower limit is 0.9 times the expected detection rate; A closed-loop detection of the sampling signal is performed based on the modified initial detection threshold.

2. The adaptive closed-loop detection method according to claim 1, wherein if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the EEG signal detection, specifically comprising: If the current detection rate is greater than the upper limit of the set range of the expected detection rate, doubling the initial detection threshold; A closed-loop detection of the sampling signal is performed based on the modified initial detection threshold.

3. The adaptive closed-loop detection method according to claim 1 or 2, after comparing the current detection rate with the expected detection rate, the method further comprises: If the current detection rate is within the set range of the expected detection rate, the initial detection threshold is used as the target detection threshold.

4. An implantable electrical stimulation device comprising: A setting module, used to set an expected detection rate and an initial detection threshold, wherein the expected detection rate is an expected detection rate expected to be obtained within a current set time period for the next closed-loop detection of the sampling signal; A detection module, used to perform closed-loop detection of a sampling signal within a current set time period based on the initial detection threshold to obtain a current detection rate, wherein the sampling signal is an electroencephalogram signal; a comparison module, configured to compare the current detection rate with the expected detection rate; and The detection module is further configured to adaptively modify the initial detection threshold to continue closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate, and continue to use the modified initial detection threshold to continue closed-loop detection of the sampling signal until the current detection rate is within the set range of the expected detection rate, and then stop modifying the initial detection threshold; A threshold acquisition module, used to use the latest modified initial detection threshold as the target detection threshold; The detection module is specifically used for: If the current detection rate is less than the lower limit of the set range of the expected detection rate, the initial detection threshold is divided by half, wherein the lower limit is 0.9 times the expected detection rate; A closed-loop detection of the sampling signal is performed based on the modified initial detection threshold.

5. The device according to claim 4, wherein the detection module is further configured to: If the current detection rate is greater than the upper limit of the set range of the expected detection rate, doubling the initial detection threshold; A closed-loop detection of the sampling signal is performed based on the modified initial detection threshold.

6. The apparatus according to claim 4 or 5, wherein the threshold acquisition module, after comparing the current detection rate with the expected detection rate, is further configured to: If the current detection rate is within the set range of the expected detection rate, the initial detection threshold is used as the target detection threshold.

7. An implantable electrical stimulation system, comprising an external device and the implantable electrical stimulation device according to any one of claims 4 to 6, wherein the external device is communicatively connected to the implantable electrical stimulation device.

8. A storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and when the one or more programs can be executed by one or more processors, the steps of the adaptive closed-loop detection method according to any one of claims 1 to 3 are implemented.

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