CN113209471A - Signal acquisition and analysis method and system for deep intracerebral stimulation DBS equipment - Google Patents
Signal acquisition and analysis method and system for deep intracerebral stimulation DBS equipment Download PDFInfo
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- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
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- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
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Abstract
The invention discloses a signal acquisition and analysis method and a signal acquisition and analysis system for deep intracerebral stimulation (DBS) equipment. The method comprises the following steps: collecting lattice signals by using a nerve probe; integrating the dot matrix signals after internal transmission, and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency digital signals to an analysis and calculation subsystem; and the analysis and calculation subsystem is used for decoding the high-frequency digital signal and restoring the position of the high-frequency digital signal, and then calculating to obtain a related neural activity monitoring result. The invention can obtain the signal which can be decoded and applied, and can also send the monitoring state of the signal reaction to the monitoring terminal for the reference of medical workers and patients, thereby improving the signal utilization efficiency of DBS and widening the application scene of DBS.
Description
Technical Field
The invention relates to the technical field of signal processing, in particular to a signal acquisition and analysis method and system for deep intracerebral stimulation DBS equipment.
Background
Deep Brain Stimulation (DBS): the electrode is mainly implanted into the brain of a patient, a pulse generator is used for stimulating certain nerve cores at the deep part of the brain of the patient, and abnormal large brain electrical circuits are corrected, so that the symptoms of the nerve aspects are relieved. Unlike some treatments (destruction or radiation) that permanently, irregulably and irreversibly damage the brain, DBS does not destroy brain structures, providing for future further treatment. The diseases treatable and interventionalised by DBS mainly include: parkinson's disease, essential tremor, dystonia disease, epilepsy, obsessive compulsive disorder, anorexia, senile dementia and the like. The stimulated brain region is generally in the middle brain and around the ventricle.
The brain nerve signals acquired by the related DBS equipment are characterized in that: firstly, the signal is mixed, difficult to distinguish and used in subsequent decoding, and the noise, the resolution and the bandwidth are not enough, so that the signal is a mixed signal; secondly, the electroencephalogram signals acquired by the DBS neural probe are unconventional electroencephalogram signals which are difficult to be analyzed by the existing decoding scheme directly and need special processing; thirdly, electroencephalogram signals acquired by the DBS equipment are wide in distribution, and corresponding component signal data sets are constructed by acquiring data of different positions or signal sources, so that signal separation and filtering processing are realized; DBS requires timed discharge intervention, and the algorithm is used for brain nerve signal recognition in a non-intervention state.
Therefore, the related DBS device can only perform the intervention from the external signal to the inside of the brain, and cannot acquire, transmit and process the human body electrical signal, so that it is difficult to obtain a signal that can be decoded and applied.
Disclosure of Invention
The invention aims to provide a signal acquisition and analysis method and a signal acquisition and analysis system for deep intracerebral stimulation DBS equipment.
In order to solve the above technical problems, in one aspect, the present invention provides a signal acquisition and analysis method for a deep intracerebral stimulation DBS device, including:
collecting lattice signals by using a nerve probe;
integrating the dot matrix signals after internal transmission, and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency digital signals to an analysis and calculation subsystem;
and the analysis and calculation subsystem is used for decoding the high-frequency digital signal and restoring the position of the high-frequency digital signal, and then calculating to obtain a related neural activity monitoring result.
In another aspect, the present invention further provides a signal acquisition and analysis system for deep intracerebral stimulation DBS device, the system being configured to implement the method described above, the system comprising:
the signal collection subsystem is used for collecting dot matrix signals by using a nerve probe;
the signal preprocessing subsystem is used for integrating the signals after internal transmission and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency signals to the analysis and calculation subsystem;
and the analysis and calculation subsystem is used for obtaining a related neural activity monitoring result through calculation after the high-frequency digital signal is decoded and subjected to position restoration.
The invention provides a signal acquisition and analysis method and a system for deep intracerebral stimulation DBS equipment. The invention can obtain the signal which can be decoded and applied, and can also send the monitoring state of the signal reaction to the monitoring terminal for the reference of medical workers and patients, thereby improving the signal utilization efficiency of DBS and widening the application scene of DBS.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a signal acquisition and analysis method for deep intracerebral stimulation DBS device according to the present invention;
fig. 2 is a schematic flow chart of a signal acquisition and analysis method for deep intracerebral stimulation DBS device according to the present invention;
FIG. 3 is a flowchart of the integration and transmission method provided by the present invention; and
fig. 4 is a schematic block diagram of a signal acquisition and analysis system for deep intracerebral stimulation DBS device according to the present invention.
Detailed Description
The core of the invention is to provide a signal acquisition and analysis method and a signal acquisition and analysis system for deep intracerebral stimulation DBS equipment, so as to realize automatic real-time sleep stage detection and increase the analysis on the continuity and rationality of the sleep stage all night.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a work flow schematic diagram of a signal acquisition and analysis method for deep intracerebral stimulation DBS equipment. As shown in fig. 1, the method includes:
step S101: collecting lattice signals by using a nerve probe;
step S102: integrating the dot matrix signals after internal transmission, and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency digital signals to an analysis and calculation subsystem;
step S103: and the analysis and calculation subsystem is used for decoding the high-frequency digital signal and restoring the position of the high-frequency digital signal, and then calculating to obtain a related neural activity monitoring result.
According to the embodiment of the invention, the neural probe is used for carrying out dot matrix signal collection, and after the collected signals are integrated, internally transmitted, subjected to analog-to-digital conversion, decoded and subjected to position reduction, the relevant neural activity monitoring result is calculated; meanwhile, a signal which can be decoded and applied can be obtained, and the monitoring state of signal reaction can be sent to a monitoring terminal for medical workers and patients to refer to, so that the signal utilization efficiency of DBS is improved, and the application scene of DBS is widened.
The method provided by the present invention is described in detail below with reference to fig. 2. When the device is used, a nerve probe is adopted to collect dot matrix signals. In particular, the nerve probe uses a point-shaped coating at the tip and the cortical area and a lead wire inside to complete the electric signal collection. Preferably, the lead inside the nerve probe can adopt a photo-etching lead, and a chip is used for integrating signals. The electrodes in the cortical region are arranged transversely and longitudinally, and n is m. Preferably, where n and m are 3 x 25, additions may be made as appropriate. In application, the working flow chart of the integration and transmission method provided by the invention can be referred to fig. 3. After the neural probe is used for carrying out dot matrix signal collection, the collected signals are integrated and transmitted internally. The signal integration is completed by adopting a special chip, and n × m array data collected by each probe are integrated into high-frequency analog signal data. The integration process is mainly completed by using a resonator, wherein the frequency of the resonator is Mhz level and is far higher than the frequency of the bioelectric signals. And thus may be performed using a high frequency carrier. The transmission of the lattice signal within the nerve probe preferably relies on a photo-etched wire with appropriate transmissibility and impedance to distinguish between interfering signals and changes in micro-potential. The wave frequency of the interference signal is far lower than that of a normal signal and is 1-25 hz, and the wave frequency of the normal signal is about 75hz, so that the filtering processing can be directly carried out in an internal circuit of the nerve probe.
And integrating the dot matrix signals after internal transmission, and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency digital signals to the analysis and calculation subsystem. The analog-to-digital conversion is completed by a front-end chip, the front-end chip is positioned in a circuit box of deep brain stimulation DBS equipment (hereinafter referred to as DBS equipment), power is supplied by an integral power supply, the front-end chip is divided into different areas according to the number of the nerve probes, and each nerve probe generates a group of signals. The analog-to-digital conversion process is directly controlled by the frequency of the resonator, is integrated into an integrated high-frequency analog signal, can standardize and align the integrated high-frequency analog signal, and can carry out butt joint on a sending end signal of the DBS device. Because the difference between the high-frequency analog signal and the digital signal is not large, the analog-to-digital conversion step also comprises time window translation and normalization of the signal, and data loss is avoided. The converted digital signal is preferably transmitted using high-speed wireless bluetooth and received by the analysis and computation subsystem.
And the analysis and calculation subsystem is used for decoding the high-frequency digital signal and restoring the position of the high-frequency digital signal, and then calculating to obtain a related neural activity monitoring result. Wherein, the decoding step specifically includes:
1. carrying out digital-to-analog conversion on the high-frequency digital signal, and restoring the high-frequency digital signal into a carrier high-frequency analog signal after the carrier high-frequency analog signal is subjected to position restoration;
2. carrying out discrete wavelet transformation on the carrier high-frequency analog signals, and distinguishing by using different standard intensities;
3. integrating the wavelet transformation results to finally obtain low-frequency signal distribution in different dimensions;
4. and according to the characteristics of the signals combined in different frequency bands and the combination rule during integration, carrying out position reduction on each low-frequency signal to reduce the low-frequency signal into a lattice signal of n x m. In the examples, the reduced signal has an average frequency of 75Hz and an intensity of 0.5 mV.
And the calculating step is a step of calculating the reduced dot matrix signals to obtain a related neural activity monitoring result. The range of neural activity monitored is that which can be reflected in the acquisition area of the DBS device, such as epilepsy, parkinson, senile dementia, anorexia, etc. In the calculating step, aiming at different nerve channel activities to be monitored, different position signals of the dot matrix are adopted for analysis, and the scheme is a preset scheme. And in the calculating step, a machine learning model and a discrimination model are adopted to calculate the neural signals in the specific region.
In addition, the result of the calculation (disease state, etc.) can be sent to a monitoring terminal for reference by medical staff and patients.
The invention provides a block diagram structure schematic diagram of a signal acquisition and analysis system for deep intracerebral stimulation (DBS) equipment. As shown in fig. 4, the system includes:
a signal collection subsystem 100 for collecting the lattice signals using a neural probe;
the signal preprocessing subsystem 200 is used for integrating the signals after internal transmission, and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency signals to the analysis and calculation subsystem;
and the analysis and calculation subsystem 300 is used for obtaining a relevant neural activity monitoring result through calculation after the high-frequency digital signal is decoded and subjected to position restoration.
Therefore, the system collects the dot matrix signals by using the nerve probe, integrates the collected signals, performs internal transmission, performs analog-to-digital conversion, decodes the signals and performs position restoration, and then calculates the related nerve activity monitoring result. The invention can obtain the signal which can be decoded and applied, and can also send the monitoring state of the signal reaction to the monitoring terminal for the reference of medical workers and patients, thereby improving the signal utilization efficiency of DBS and widening the application scene of DBS.
For the introduction of the signal acquisition and analysis system for deep intracerebral stimulation DBS device provided by the present invention, please refer to the foregoing embodiment of the signal acquisition and analysis method for deep intracerebral stimulation DBS device, and the embodiment of the present invention is not described herein again.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The signal acquisition and analysis method and system for the deep intracerebral stimulation DBS device provided by the present invention are introduced in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A brain signal acquisition and analysis processing method for deep intracerebral stimulation (DBS) equipment is characterized by comprising the following steps:
collecting lattice signals by using a nerve probe;
integrating the dot matrix signals after internal transmission, and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency digital signals to an analysis and calculation subsystem;
and the analysis and calculation subsystem is used for decoding the high-frequency digital signal and restoring the position of the high-frequency digital signal, and then calculating to obtain a related neural activity monitoring result.
2. The method of claim 1, wherein the nerve probe uses spot plating in the tip and cortical areas and wires internally to accomplish electrical signal collection; the electrodes in the cortical region are arranged transversely and longitudinally, n is the number of m, and n and m are integers.
3. The method of claim 2, wherein integrating the lattice signal is performed by integrating the n x m array data collected by each probe into an integrated high frequency analog signal.
4. A method according to claim 3, wherein the analog-to-digital conversion is directly controlled by the resonator frequency, the integrated high frequency analog signals are normalized and aligned, and the transmit tip signals of the deep intracerebral stimulation DBS device are interfaced.
5. The method of claim 1, wherein the analog-to-digital conversion is performed by a front-end chip, the front-end chip is located in a circuit box of the deep intracerebral stimulation DBS device, the power is supplied by an overall power supply of the deep intracerebral stimulation DBS device, the power is divided into different regions according to the number of the nerve probes, and each nerve probe generates a set of signals.
6. The method of claim 1, wherein the step of analog-to-digital converting the integrated lattice signal is preceded by the method further comprising:
and carrying out time window translation and normalization on the integrated dot matrix signals so as to avoid data loss.
7. The method of claim 1, wherein the step of decoding the lattice signal by an analysis computation subsystem comprises:
and D/A conversion is carried out on the high-frequency digital signal, the high-frequency digital signal is restored to be a carrier high-frequency analog signal after carrier, discrete wavelet transformation is carried out on the carrier high-frequency analog signal, the transformation result is integrated, and finally low-frequency signal distribution in different dimensions is obtained.
8. The method of claim 2, wherein the position reduction step reduces the position of each low-frequency signal segment to n x m lattice signals according to the combination rule during integration according to the characteristics of the signals combined in different frequency bands.
9. The method of claim 1, wherein the analysis and computation subsystem mainly adopts a machine learning model and a discriminant model to perform inverse computation of the combined features of the neural signals in the specific region; the preset calculation scheme adopts signals at different positions of the dot matrix to analyze aiming at different neural activities to be monitored.
10. A signal acquisition and analysis system for a deep intracerebral stimulation, DBS, device for implementing the method of any one of claims 1 to 11, comprising:
the signal collection subsystem is used for collecting dot matrix signals by using a nerve probe;
the signal preprocessing subsystem is used for integrating the signals after internal transmission and performing analog-to-digital conversion on the integrated dot matrix signals to obtain high-frequency digital signals so as to transmit the high-frequency signals to the analysis and calculation subsystem;
and the analysis and calculation subsystem is used for obtaining a related neural activity monitoring result through calculation after the high-frequency digital signal is decoded and subjected to position restoration.
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| US20210093872A1 (en) * | 2019-09-26 | 2021-04-01 | CereGate GmbH | Neuronal signal system, method and computer program for device status signaling |
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- 2021-04-07 CN CN202110372647.7A patent/CN113209471A/en active Pending
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