阅读说明：本技术 植入式闭环系统多通道的电信号处理方法和装置 (Multi-channel electric signal processing method and device for implanted closed-loop system ) 是由 林婷 吴承瀚 陈新蕾 曹鹏 于 2021-02-05 设计创作，主要内容包括：本说明书一个或多个实施例公开了一种植入式闭环系统多通道的电信号处理方法和装置,该方法包括：确定当前植入设备所植入生物体的第一生物电信号,获取所述植入设备配置的多个通道采集的生物电信号,并基于所述第一生物电信号确定每个通道对应的特征差异信息和所有通道间同步化程度；基于所述每个通道特征差异信息或所述所有通道间同步化程度,与预设阈值的比对结果,从所述多个通道中选择相匹配的通道作为刺激通道；使用所述刺激通道对应的刺激参数,通过所述刺激通道对生物体进行刺激干预。从而,在诊疗阶段有效检测出发病情况并进行准确适当的干预刺激。(One or more embodiments of the present specification disclose a method and apparatus for processing electrical signals of multiple channels of an implanted closed-loop system, the method comprising: determining a first bioelectrical signal of an organism implanted into current implantation equipment, acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment, and determining characteristic difference information corresponding to each channel and the degree of synchronization among all channels based on the first bioelectrical signal; selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold; and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel. Therefore, the disease condition can be effectively detected and the correct and appropriate intervention stimulation can be carried out in the diagnosis and treatment stage.)

1. A method for processing an electric signal of multiple channels of an implanted closed loop system is characterized by comprising the following steps:

determining a first bioelectric signal of a living being currently implanted by an implanted device, wherein the first bioelectric signal is an electrical signal state of the living being during a non-morbidity period;

acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment, and determining characteristic difference information corresponding to each channel and the degree of synchronization among all the channels based on the first bioelectrical signal;

selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold;

and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

2. The method of claim 1, wherein acquiring bioelectrical signals acquired by a plurality of channels of the implanted device configuration and determining feature difference information corresponding to each channel and a degree of synchronization among all channels based on the first bioelectrical signal comprises:

acquiring bioelectrical signals acquired by a plurality of channels configured by the implant device;

extracting characteristic information of the bioelectrical signal of each channel, the characteristic information including at least: frequency domain information, phase information, energy information;

comparing the extracted characteristic information corresponding to each channel with the characteristic information of the first bioelectricity signal respectively to obtain characteristic difference information corresponding to each channel;

and calculating the synchronization degree among all the channels based on the characteristic difference information corresponding to each channel.

3. The method according to claim 2, wherein calculating the degree of synchronization among all channels based on the feature difference information corresponding to each channel specifically comprises:

based on the feature difference information corresponding to each channel, the method at least comprises the following steps: one algorithm of Hilbert, Fourier transform and wavelet transform calculates the degree of synchronization between all channels.

4. The method according to claim 1, wherein selecting a channel from the plurality of channels as a stimulation channel based on the comparison result of each channel feature difference information or the degree of synchronization among all the channels with a preset threshold comprises:

judging whether the characteristic difference information of at least one channel is larger than the preset threshold value in the characteristic difference information of each channel;

if the characteristic difference information exists, at least one channel corresponding to the characteristic difference information larger than the preset threshold value is used as a stimulation channel;

otherwise, judging whether the synchronization degree is greater than the preset threshold value;

randomly selecting one channel from the plurality of channels as a stimulation channel if the degree of synchronization is greater than the preset threshold.

5. The method of any one of claims 1-4, wherein after stimulating intervention in the organism through the selected stimulation channel, the method further comprises:

the following operations are repeatedly performed:

obtaining a second bioelectrical signal generated by the organism after stimulation; re-determining the characteristic difference information corresponding to each channel and the degree of synchronization among all channels based on the second bioelectrical signal; based on the re-determined characteristic difference information of each channel or the re-determined synchronization degree among all channels and the comparison result of a preset threshold, selecting a matched channel from the plurality of channels as a stimulation channel for stimulation intervention;

until at least one of the following constraints is satisfied:

the redetermined difference information of the characteristics of each channel is less than or equal to the preset threshold;

the redetermined synchronization degree among all channels is less than or equal to the preset threshold value;

the number of stimulation interventions reaches a preset upper limit.

6. The method of claim 5, wherein the method further comprises:

determining a difference between the characteristic information of the second bioelectric signal and the characteristic information of the first bioelectric signal;

if the stimulation intervention continues until the difference is lower than the preset threshold, recording the current intervention result as maintaining a steady state;

if the stimulation intervention is terminated before the difference is lower than the preset threshold, recording the current intervention result as a refreshed steady state.

7. The method of any one of claims 1-4, wherein determining the first bioelectrical signal of the biological body currently implanted by the implanted device comprises:

acquiring a bioelectric signal acquired by an acquisition circuit of current implanted equipment in a non-morbidity period of an implanted organism;

and selecting a bioelectrical signal segment with a preset length from the bioelectrical signals as a first bioelectrical signal.

8. An implantable closed-loop system multi-channel electrical signal processing device, comprising:

the device comprises a first determination module, a second determination module and a control module, wherein the first determination module is used for determining a first bioelectric signal of a biological body implanted by the current implanted device, and the first bioelectric signal is the electric signal state of the biological body during a non-morbidity period;

the second determination module is used for acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment and determining the characteristic difference information corresponding to each channel and the synchronization degree among all the channels based on the first bioelectrical signals;

a selection module, configured to select a matched channel from the multiple channels as a stimulation channel based on a comparison result between the feature difference information of each channel or the synchronization degrees among all the channels and a preset threshold;

and the intervention module is used for performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

9. An implantable apparatus comprising the implantable closed-loop system multi-channel electrical signal processing device of claim 8.

10. An implantable closed-loop system comprising the implantable device of claim 9, and a control and operation device located outside the body.

Technical Field

The present invention relates to the technical field of medical instruments, and in particular, to a method and an apparatus for processing multi-channel electrical signals of an implantable closed-loop system.

Background

The implantable nerve stimulator is one kind of implantable medical equipment, and provides help for effective diagnosis and treatment of the disease condition of a patient.

The current implanted nerve stimulators all adopt preset parameters to stimulate according to a fixed mode, and unnecessary stimulation is often implemented in the diagnosis and treatment stage. Such over-stimulation not only fails to inhibit the disease condition, but also presents a potential risk of the disease, for example, exacerbating the condition or developing other complications.

Therefore, there is a need to find a new diagnosis and treatment solution for accurate and appropriate intervention stimulation.

Disclosure of Invention

An object of one or more embodiments of the present disclosure is to provide a method and apparatus for processing electrical signals of multiple channels of an implantable closed-loop system, so as to effectively detect the onset of disease and perform accurate and appropriate intervention stimulation in the diagnosis and treatment stage.

To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:

in a first aspect, a method for processing an electrical signal of multiple channels of an implanted closed-loop system is provided, including:

determining a first bioelectric signal of a living being currently implanted by an implanted device, wherein the first bioelectric signal is an electrical signal state of the living being during a non-morbidity period;

acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment, and determining characteristic difference information corresponding to each channel and the degree of synchronization among all the channels based on the first bioelectrical signal;

selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold;

and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

In a second aspect, an implantable closed-loop system multi-channel electrical signal processing apparatus is provided, including:

the device comprises a first determination module, a second determination module and a control module, wherein the first determination module is used for determining a first bioelectric signal of a biological body implanted by the current implanted device, and the first bioelectric signal is the electric signal state of the biological body during a non-morbidity period;

the second determination module is used for acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment and determining the characteristic difference information corresponding to each channel and the synchronization degree among all the channels based on the first bioelectrical signals;

a selection module, configured to select a matched channel from the multiple channels as a stimulation channel based on a comparison result between the feature difference information of each channel or the synchronization degrees among all the channels and a preset threshold;

and the intervention module is used for performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

In a third aspect, an implantable device is provided, which comprises the multi-channel electric signal processing device of the implantable closed-loop system.

In a fourth aspect, an implantable closed-loop system is provided, which includes the implantable device, and a control operation device located outside the body.

According to the technical scheme provided by one or more embodiments of the present specification, a first bioelectric signal of an organism implanted by the current implant device is determined, bioelectric signals acquired by a plurality of channels configured by the implant device are acquired, and characteristic difference information corresponding to each channel and the degree of synchronization among all channels are determined based on the first bioelectric signal; selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold; and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel. Therefore, the disease condition can be effectively detected and the correct and appropriate intervention stimulation can be carried out in the diagnosis and treatment stage.

Drawings

In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, reference will now be made briefly to the attached drawings, which are needed in the description of one or more embodiments or prior art, and it should be apparent that the drawings in the description below are only some of the embodiments described in the specification, and that other drawings may be obtained by those skilled in the art without inventive exercise.

Fig. 1 is a schematic diagram illustrating one of the steps of a method for processing an electrical signal of multiple channels of an implanted closed-loop system according to an embodiment of the present disclosure.

Fig. 2 is a second schematic step diagram of a method for processing an electrical signal of multiple channels of an implanted closed-loop system according to an embodiment of the present disclosure.

Fig. 3 is a schematic structural diagram of an implanted closed-loop system multichannel electrical signal processing apparatus provided in an embodiment of the present specification.

Fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification.

Detailed Description

In order to make the technical solutions in the present specification better understood, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the accompanying drawings in one or more embodiments of the present specification, and it is obvious that the one or more embodiments described are only a part of the embodiments of the present specification, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.

Considering the present diagnosis and treatment risk problems caused by inaccurate bioelectricity signal detection and inappropriate intervention stimulation, the embodiment of the application stimulates different parts of the living body by arranging a plurality of signal output channels. Before stimulation, comparing and judging the difference between the characteristic parameters of the multiple channels and the characteristic parameters in the initial state of the bioelectricity signals and the synchronization degree among all the channels with a preset threshold value, selecting a stimulation channel needing intervention operation, and using the stimulation parameters corresponding to the selected stimulation channel to implement targeted stimulation. Like this, can promote the state of an illness detection accuracy, moreover, only carry out the pertinence amazing to corresponding position based on the amazing passageway that determines, promote the precision of amazing intervention, avoid excessive stimulation and unnecessary stimulation. It will be appreciated that the implantable closed loop system may in particular be an implantable closed loop self-responsive stimulation system.

Example one

Referring to fig. 1, a schematic step diagram of a method for processing an electrical signal of multiple channels of an implantable closed-loop system provided in an embodiment of the present disclosure is shown, where the method may be applied to an MCU of an implantable device to assist other processing modules in the MCU to achieve effective detection and stimulation of a bioelectrical signal; the processing may include the steps of:

step 102: determining a first bioelectric signal of a living being implanted by a current implant device, wherein the first bioelectric signal is an electrical signal state of the living being during a non-morbidity period.

The implantation device, which may be an implantable medical device, may include at least: deep brain stimulator (DBS, commonly called cerebral pacemaker), Spinal Cord Stimulator (SCS), cortical stimulator (CNS), Vagal Nerve Stimulator (VNS) and the like for treating dyskinetic diseases such as parkinson, epilepsy, dystonia and the like. The implant device in the present application may be an improvement based on these implantable medical devices, or a new implant device designed based on these devices. It should be understood that the implant device may have some or all of the functionality of an existing implantable medical device, except where it is incompatible with the core modification functionality of the present solution.

The biological body implanted by the implantation device can be generally regarded as a patient, and in the embodiment of the specification, the stimulation electrodes implanted by the implantation device into the patient can be multiplexed, that is, the stimulation operation can be respectively carried out on a plurality of parts of the patient at the same time or at different times. Each stimulation electrode corresponds to one channel, and each channel outputs one stimulation signal to the corresponding stimulation electrode according to the decision processing of the MCU.

The first bioelectric signal, i.e. the acquired bioelectric signal of the patient, may include: EEG signal, deep electrophysiological signal of brain, bioelectric signal of cerebral cortex, or central nerve signal. It should be understood that the term "first" in the first bioelectric signal is used herein to distinguish the second bioelectric signal, and the first bioelectric signal refers to the state of the patient's electric signal during non-diseased periods (i.e., under normal conditions). And the subsequent second bioelectric signal is the state of the electrical signal acquired after the interventional stimulation is performed on the patient. The first bioelectric signal can be used as an initial state of brain electricity of the scheme before detection.

Optionally, when determining the first bioelectrical signal of the living organism currently implanted by the implant device, the embodiments of the present specification may specifically include the following steps:

the method comprises the steps of firstly, acquiring a bioelectricity signal acquired by an acquisition circuit of current implantation equipment in a non-morbidity period of an implanted organism;

and secondly, selecting a bioelectrical signal segment with a preset length from the bioelectrical signals as a first bioelectrical signal.

Taking the electroencephalogram signal as an example, that is, the electroencephalogram signal of the patient during the non-disease attack period is obtained through the acquisition circuit, and the electroencephalogram signal with a certain length is included in the detection module of the MCU as the electroencephalogram initial state S. In fact, a negative signal (electroencephalogram signal under normal conditions) with a certain length can be screened from the historical electroencephalogram signals of the patient through a specific screening technology to serve as the initial state of the electroencephalogram.

Step 104: and acquiring bioelectrical signals acquired by a plurality of channels configured by the implant device, and determining the characteristic difference information corresponding to each channel and the degree of synchronization among all the channels based on the first bioelectrical signal.

Optionally, the acquiring the bioelectrical signals acquired by the multiple channels configured by the implant device, and determining the feature difference information corresponding to each channel and the degree of synchronization among all the channels based on the first bioelectrical signal specifically includes:

acquiring bioelectrical signals acquired by a plurality of channels configured by the implant device;

extracting characteristic information of the bioelectrical signal of each channel, the characteristic information including at least: frequency domain information, phase information, energy information;

comparing the extracted characteristic information corresponding to each channel with the characteristic information of the first bioelectricity signal respectively to obtain characteristic difference information corresponding to each channel;

and calculating the synchronization degree among all the channels based on the characteristic difference information corresponding to each channel.

For example, extracting feature information of each channel, and then noting feature difference information as a compared with a first bioelectric signal S as an initial state of brain electricity, includes: frequency domain information, phase information, energy information, etc. Then, based on a of each channel, the degree of synchronization between the channels is calculated from frequency domain information, phase information, and the like, and is denoted as B.

Further, calculating the degree of synchronization among all channels based on the feature difference information corresponding to each channel, specifically including: based on the feature difference information corresponding to each channel, the method at least comprises the following steps: one algorithm of Hilbert, Fourier transform and wavelet transform calculates the degree of synchronization between all channels.

In a specific implementation, it can be considered to quantize the Phase synchronization between channels by Phase Locking Value (PLV). Specific analysis methods include, but are not limited to, Hilbert (Hilbert) transform, fourier transform, wavelet transform, etc., as exemplified by Hilbert (Hilbert) transform, as follows:

where PV is the Cauchy principal value, t is the time variable, τ is the time window, x_iIs a bioelectric signal;

where Φ i (t) refers to the instantaneous phase of electrode i;

PLV＝|<exp(j{Φ_i(t)-Φ_j(t)})>| (3)

where Φ i (t), Φ j (t) are the instantaneous phases of channels i, j, where < > represents the mean over time.

By combining the above equations (1) to (3), the phase lock value PLV representing the degree of synchronization between the channels can be calculated and determined.

Step 106: and selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold.

The preset threshold may be a signal threshold for determining a disease, for example, a threshold for determining a seizure of epilepsy.

Optionally, based on the feature difference information of each channel or the degree of synchronization among all channels, and a comparison result of a preset threshold, selecting a channel matched with the feature difference information of each channel from the plurality of channels as a stimulation channel, specifically including:

judging whether the characteristic difference information of at least one channel is larger than the preset threshold value in the characteristic difference information of each channel;

if the characteristic difference information exists, at least one channel corresponding to the characteristic difference information larger than the preset threshold value is used as a stimulation channel;

otherwise, judging whether the synchronization degree is greater than the preset threshold value;

randomly selecting one channel from the plurality of channels as a stimulation channel if the degree of synchronization is greater than the preset threshold.

In other words, first, the relative value a of each of the multiple channels (i.e., the feature difference information of the feature information of each channel with respect to the feature information of the initial state of the electroencephalogram) is compared with a preset threshold, if one or more of the relative values a of the multiple channels is greater than the preset threshold, it is determined that there is an occurrence of an epilepsia of the electroencephalogram, and in order to suppress the progress of the epilepsia, a channel corresponding to the relative value a greater than the preset threshold may be selected from the multiple channels, and at this time, one or more channels may be selected. That is, the channels with the relative value A larger than the preset threshold value are used as stimulation channels for brain electrical intervention stimulation. If the relative value A of none of the channels is larger than the preset threshold, the comparison based on the relative value A is abandoned, then the absolute value B (namely the synchronization degree among the channels) is compared with the preset threshold, and if the absolute value B is larger than the preset threshold, one or more channels can be randomly selected from the channels to respond, so that the electroencephalogram synchronization degree is reduced (the epileptogenesis site cannot be determined based on the synchronization degree among the channels). And if the absolute value B is less than or equal to the preset threshold value, no intervention stimulation is carried out.

Step 108: and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

In the embodiment of the specification, the stimulation channel of the stimulation circuit is determined according to the detection result, the stimulation parameter in the register is read, and stimulation is given through the determined stimulation channel.

Optionally, after performing a stimulation intervention on the organism through the selected stimulation channel, the method further comprises:

the following operations are repeatedly performed:

obtaining a second bioelectrical signal generated by the organism after stimulation; re-determining the characteristic difference information corresponding to each channel and the degree of synchronization among all channels based on the second bioelectrical signal; based on the re-determined characteristic difference information of each channel or the re-determined synchronization degree among all channels and the comparison result of a preset threshold, selecting a matched channel from the plurality of channels as a stimulation channel for stimulation intervention;

until at least one of the following constraints is satisfied:

the redetermined difference information of the characteristics of each channel is less than or equal to the preset threshold;

the redetermined synchronization degree among all channels is less than or equal to the preset threshold value;

the number of stimulation interventions reaches a preset upper limit.

It should be understood that after each stimulation is finished, the electroencephalogram state S' may be judged again until the relative value a or the absolute value B is lower than the threshold, or the number of stimulation interventions exceeds the upper limit of the number of responses, and the intervention stimulation is stopped. This is because, if the relative value a or the absolute value B exceeds the upper threshold, i.e., the response causes the state of change in the brain electrical activity to continue to expand, the intervention is stopped, and the occurrence of epilepsy is prevented from being induced.

Further, after the intervention stimulation, the intervention stimulation result may be recorded to FRAM, which specifically includes:

determining a difference between the characteristic information of the second bioelectric signal and the characteristic information of the first bioelectric signal;

if the stimulation intervention continues until the difference is lower than the preset threshold, recording the current intervention result as maintaining a steady state;

if the stimulation intervention is terminated before the difference is lower than the preset threshold, recording the current intervention result as a refreshed steady state.

After the stimulation response processing, the difference value between the computer state S' and the initial electroencephalogram state S is lower than a preset threshold value, at the moment, the electroencephalogram seizure is regarded as being inhibited, and the record is that the steady state is maintained; and terminating the response before the difference value between the electroencephalogram state S' and the initial electroencephalogram state S is reduced to be below a preset threshold value, taking the response as an intervention interruption, recording the intervention interruption as a refresh steady state, and adjusting the detection threshold value or the stimulation scheme by a doctor user.

The above technical solution is described in detail by specific flow examples.

Referring to fig. 2, the multichannel-based bioelectric signal processing flow includes:

step 202: and determining an initial electroencephalogram state S and a characteristic value of multiple channels.

Step 204: a time-frequency variation offset a is determined for each of a plurality of channels.

Here, the time-frequency variation offset a may be regarded as feature difference information.

Step 206: and determining the multichannel synchronization degree B.

Step 208: judging whether A in the channels is larger than a threshold value or not, wherein the current response times do not exceed an upper limit; if so, step 210 is performed, otherwise, step 212 is performed.

Step 210: and selecting the channel larger than the threshold value as a stimulation channel for intervention stimulation.

Step 212: judging whether the synchronization degree B among the channels is greater than a threshold value or not, wherein the current response times do not exceed an upper limit; if so, step 214 is performed, otherwise, no processing is done.

Step 214: and randomly selecting the channel as a stimulation channel for intervention stimulation.

Step 216: after the stimulation is complete, the signal state S' is reacquired and the process returns to step 204.

According to the technical scheme, a first bioelectrical signal of an organism implanted into the current implanting equipment is determined, bioelectrical signals acquired by a plurality of channels configured by the implanting equipment are acquired, and characteristic difference information corresponding to each channel and the synchronization degree among all channels are determined based on the first bioelectrical signal; selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold; and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel. Therefore, the disease condition can be effectively detected and the correct and appropriate intervention stimulation can be carried out in the diagnosis and treatment stage.

Example two

Referring to fig. 3, a multi-channel electrical signal processing apparatus for an implantable closed-loop system provided in an embodiment of the present disclosure, the apparatus 300 may include:

a first determination module 302, configured to determine a first bioelectric signal of a living organism implanted with an implanted device, where the first bioelectric signal is an electrical signal state of the living organism during a non-disease period;

a second determining module 304, configured to obtain bioelectrical signals acquired by a plurality of channels configured by the implant device, and determine feature difference information corresponding to each channel and a degree of synchronization among all channels based on the first bioelectrical signal;

a selecting module 306, configured to select a matched channel from the multiple channels as a stimulation channel based on a comparison result between the feature difference information of each channel or the synchronization degrees among all the channels and a preset threshold;

and an intervention module 308, configured to perform stimulation intervention on the living body through the stimulation channel using the stimulation parameter corresponding to the stimulation channel.

Optionally, as an embodiment, when acquiring bioelectrical signals acquired by a plurality of channels of the implant device configuration, and determining feature difference information corresponding to each channel and a degree of synchronization among all channels based on the first bioelectrical signal, the second determining module 304 is specifically configured to:

acquiring bioelectrical signals acquired by a plurality of channels configured by the implant device;

extracting characteristic information of the bioelectrical signal of each channel, the characteristic information including at least: frequency domain information, phase information, energy information;

comparing the extracted characteristic information corresponding to each channel with the characteristic information of the first bioelectricity signal respectively to obtain characteristic difference information corresponding to each channel;

and calculating the synchronization degree among all the channels based on the characteristic difference information corresponding to each channel.

In a specific implementation manner of the embodiment of this specification, when calculating the synchronization degrees among all channels based on the feature difference information corresponding to each channel, the second determining module 304 is specifically configured to:

based on the feature difference information corresponding to each channel, the method at least comprises the following steps: one algorithm of Hilbert, Fourier transform and wavelet transform calculates the degree of synchronization between all channels.

In a specific implementation, it can be considered to quantize the Phase synchronization between channels by Phase Locking Value (PLV). Specific analysis methods include, but are not limited to, Hilbert (Hilbert) transform, fourier transform, wavelet transform, etc., as exemplified by Hilbert (Hilbert) transform, as follows:

where PV is the Cauchy principal value, t is the time variable, τ is the time window, x_iIs a bioelectric signal;

where Φ i (t) refers to the instantaneous phase of electrode i;

PLV＝|<exp(j{Φ_i(t)-Φ_j(t)})>| (3)

where Φ i (t), Φ j (t) are the instantaneous phases of channels i, j, where < > represents the mean over time.

By combining the above equations (1) to (3), the phase lock value PLV representing the degree of synchronization between the channels can be calculated and determined.

In a further specific implementation manner of the embodiment of the present specification, when the selecting module 306 selects a matched channel from the multiple channels as a stimulation channel based on the comparison result of the feature difference information of each channel or the degree of synchronization among all the channels and a preset threshold, the selecting module is specifically configured to:

judging whether the characteristic difference information of at least one channel is larger than the preset threshold value in the characteristic difference information of each channel;

if the characteristic difference information exists, at least one channel corresponding to the characteristic difference information larger than the preset threshold value is used as a stimulation channel;

otherwise, judging whether the synchronization degree is greater than the preset threshold value;

randomly selecting one channel from the plurality of channels as a stimulation channel if the degree of synchronization is greater than the preset threshold.

In a further specific implementation manner of the embodiments of the present specification, after the stimulation intervention is performed on the organism through the selected stimulation channel, the first determination module is further configured to obtain a second bioelectric signal generated by the organism after the stimulation intervention; the second determining module is further configured to re-determine feature difference information corresponding to each channel and the degree of synchronization among all channels based on the second bioelectrical signal; the selection module is further used for selecting a matched channel from the multiple channels as a stimulation channel based on the comparison result of the redetermined characteristic difference information of each channel or the redetermined synchronization degree among all the channels and a preset threshold value, and triggering the intervention module to perform stimulation intervention;

the above operations are repeatedly performed until at least one of the following constraints is satisfied:

the redetermined difference information of the characteristics of each channel is less than or equal to the preset threshold;

the redetermined synchronization degree among all channels is less than or equal to the preset threshold value;

the number of stimulation interventions reaches a preset upper limit.

In another specific implementation manner of the embodiment of the present specification, the apparatus further includes:

a third determining module, configured to determine a difference between the characteristic information of the second bioelectric signal and the characteristic information of the first bioelectric signal;

the recording module is used for recording the current intervention result as a steady state if the stimulation intervention is continued until the difference value is lower than the preset threshold value; if the stimulation intervention is terminated before the difference is lower than the preset threshold, recording the current intervention result as a refreshed steady state.

In a further specific implementation manner of the embodiment of the present specification, the first determining module, when determining the first bioelectrical signal of the living being currently implanted by the implant device, is specifically configured to:

acquiring a bioelectric signal acquired by an acquisition circuit of current implanted equipment in a non-morbidity period of an implanted organism;

and selecting a bioelectrical signal segment with a preset length from the bioelectrical signals as a first bioelectrical signal.

According to the technical scheme, a first bioelectrical signal of an organism implanted into the current implanting equipment is determined, bioelectrical signals acquired by a plurality of channels configured by the implanting equipment are acquired, and characteristic difference information corresponding to each channel and the synchronization degree among all channels are determined based on the first bioelectrical signal; selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold; and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel. Therefore, the disease condition can be effectively detected and the correct and appropriate intervention stimulation can be carried out in the diagnosis and treatment stage.

EXAMPLE III

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 4, at the hardware level, the electronic device (i.e. the implant device) includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.

And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.

The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs, and the multichannel-based bioelectrical signal processing device is formed on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

determining a first bioelectric signal of a living being currently implanted by an implanted device, wherein the first bioelectric signal is an electrical signal state of the living being during a non-morbidity period;

acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment, and determining characteristic difference information corresponding to each channel and the degree of synchronization among all the channels based on the first bioelectrical signal;

selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold;

and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

The method performed by the apparatus according to the embodiment shown in fig. 1 of the present specification may be implemented in or by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The methods, steps, and logic blocks disclosed in one or more embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with one or more embodiments of the present disclosure may be embodied directly in hardware, in a software module executed by a hardware decoding processor, or in a combination of the hardware and software modules executed by a hardware decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

The electronic device may also execute the method of fig. 1 and implement the functions of the corresponding apparatus in the embodiment shown in fig. 1, which are not described herein again in this specification.

Of course, besides the software implementation, the electronic device of the embodiment of the present disclosure does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.

According to the technical scheme, a first bioelectrical signal of an organism implanted into the current implanting equipment is determined, bioelectrical signals acquired by a plurality of channels configured by the implanting equipment are acquired, and characteristic difference information corresponding to each channel and the synchronization degree among all channels are determined based on the first bioelectrical signal; selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold; and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel. Therefore, the disease condition can be effectively detected and the correct and appropriate intervention stimulation can be carried out in the diagnosis and treatment stage.

Example four

The embodiment of the present specification further provides an implantation system, including any one of the implantation devices described in the second embodiment, and a control operation device located outside the body, for example, a program controller.

The functional modules of the implantation system, the operation methods that can be performed, and the technical effects that can be achieved are all referred to in the first embodiment and the second embodiment, and are not described herein again.

EXAMPLE five

Embodiments of the present specification also propose a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, are capable of causing the portable electronic device to perform the method of the embodiment shown in fig. 1, and in particular for performing the method of:

determining a first bioelectric signal of a living being currently implanted by an implanted device, wherein the first bioelectric signal is an electrical signal state of the living being during a non-morbidity period;

acquiring bioelectrical signals acquired by a plurality of channels configured by the implantation equipment, and determining characteristic difference information corresponding to each channel and the degree of synchronization among all the channels based on the first bioelectrical signal;

selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold;

and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel.

According to the technical scheme, a first bioelectrical signal of an organism implanted into the current implanting equipment is determined, bioelectrical signals acquired by a plurality of channels configured by the implanting equipment are acquired, and characteristic difference information corresponding to each channel and the synchronization degree among all channels are determined based on the first bioelectrical signal; selecting a matched channel from the plurality of channels as a stimulation channel based on the comparison result of each channel characteristic difference information or the synchronization degree among all the channels and a preset threshold; and performing stimulation intervention on the organism through the stimulation channel by using the stimulation parameters corresponding to the stimulation channel. Therefore, the disease condition can be effectively detected and the correct and appropriate intervention stimulation can be carried out in the diagnosis and treatment stage.

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

The system, apparatus, module or unit illustrated in one or more of the above embodiments may be implemented by a computer chip or an entity, or by an article of manufacture with a certain functionality. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, 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.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, 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 disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.