CN115300798A - Transcranial magnetic stimulation pulse signal control method, device, equipment and medium - Google Patents
Transcranial magnetic stimulation pulse signal control method, device, equipment and medium Download PDFInfo
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- A61N2/00—Magnetotherapy
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- A61N2/006—Magnetotherapy specially adapted for a specific therapy for magnetic stimulation of nerve tissue
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Abstract
The embodiment of the invention discloses a transcranial magnetic stimulation pulse signal control method, a transcranial magnetic stimulation pulse signal control device, transcranial magnetic stimulation pulse signal control equipment and a medium, wherein the method comprises the following steps: acquiring an electroencephalogram signal of a target brain area of a target object, and determining real-time nerve excitation characteristics of the target brain area based on the electroencephalogram signal; determining whether the real-time neural excitation features are matched with reference neural excitation features corresponding to the target neural excitation state; and triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic. According to the technical scheme of the embodiment of the invention, each transcranial magnetic stimulation pulse signal is controlled to be output at the time point of the target nerve excitation state, so that the regulation and control effect of transcranial magnetic stimulation on brain activity can be effectively enhanced, and the transcranial magnetic stimulation regulation and control with high time precision can be realized.
Description
Technical Field
The embodiment of the invention relates to the technical field of transcranial magnetic stimulation, in particular to a transcranial magnetic stimulation pulse signal control method, a device, equipment and a medium.
Background
Transcranial magnetic stimulation is a neural regulation technology and has the characteristics of high time resolution and high spatial resolution. At present, the transcranial magnetic stimulation is implemented by presetting an output mode of transcranial magnetic stimulation by an experimenter, and outputting a pulse signal to a target brain region according to the setting to realize the regulation and control of brain functions.
However, the transient state of the brain nerve activity when the transcranial magnetic stimulation outputs the pulse signal influences the effect of the transcranial magnetic stimulation on the brain, so that the brain responds differently to each transcranial magnetic stimulation pulse signal, and the method has obvious intra-individual and inter-individual differences and reduces the nerve regulation and control effect on the brain.
Disclosure of Invention
The embodiment of the invention provides a transcranial magnetic stimulation pulse signal control method, a device, equipment and a medium, which are used for controlling each transcranial magnetic stimulation pulse signal to be output at the time point of a target nerve excitation state, can effectively enhance the regulation and control effect of transcranial magnetic stimulation on brain activity, and realize the transcranial magnetic stimulation regulation and control with high time precision.
In a first aspect, an embodiment of the present invention provides a transcranial magnetic stimulation pulse signal control method, including:
acquiring an electroencephalogram signal of a target brain area of a target object, and determining real-time nerve excitation characteristics of the target brain area based on the electroencephalogram signal;
determining whether the real-time neural excitation features are matched with reference neural excitation features corresponding to the target neural excitation state;
and triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic.
In a second aspect, the embodiments of the present invention also provide a transcranial magnetic stimulation pulse signal control device, which includes:
the electroencephalogram signal feature extraction module is used for acquiring an electroencephalogram signal of a target brain area of a target object and determining real-time neural excitation features of the target brain area based on the electroencephalogram signal;
the electroencephalogram signal characteristic analysis module is used for determining whether the real-time neural excitation characteristics are matched with reference neural excitation characteristics corresponding to the target neural excitation state;
and the pulse signal control module is used for triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a transcranial magnetic stimulation pulse signal control method as provided by any embodiment of the invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the program, when executed by a processor, implements a transcranial magnetic stimulation pulse signal control method as provided in any embodiment of the present invention.
The embodiment of the invention has the following advantages or beneficial effects:
according to the embodiment of the invention, the electroencephalogram signal of the target brain area of the target object is obtained, and the real-time nerve excitation characteristics of the target brain area are determined based on the electroencephalogram signal; determining whether the real-time neural excitation characteristics are matched with reference neural excitation characteristics corresponding to the target neural excitation state; when the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics, the preset transcranial magnetic stimulation pulse signals are triggered and output, the problem that the transcranial magnetic stimulation effect is influenced by the transient change of brain nerve activity is solved, each transcranial magnetic stimulation pulse signal is controlled to be output at the time point of the target nerve excitation state, the regulation and control effect of transcranial magnetic stimulation on brain activity can be effectively enhanced, and high-time-precision transcranial magnetic stimulation regulation and control are achieved.
Drawings
FIG. 1 is a flow chart of a transcranial magnetic stimulation pulse signal control method provided by an embodiment of the invention;
FIG. 2 is a flow chart of another method for controlling a transcranial magnetic stimulation pulse signal according to an embodiment of the invention;
FIG. 3 is a schematic diagram of an electroencephalogram electrode for acquiring an electroencephalogram signal provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of a transcranial magnetic stimulation pulse signal control hardware connection provided by an embodiment of the invention;
FIG. 5 is a schematic structural diagram of a transcranial magnetic stimulation pulse signal control device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of a method for controlling a transcranial magnetic stimulation pulse signal according to an embodiment of the present invention, which is applicable to the case of controlling a pulse signal in a neuromodulation technology, and is particularly applicable to controlling a transcranial magnetic stimulation pulse signal. The method can be executed by a transcranial magnetic stimulation pulse signal control device, which can be implemented by software and/or hardware and is integrated in a computer device with application development function.
As shown in fig. 1, the transcranial magnetic stimulation pulse signal control method of the present embodiment includes the following steps:
s110, acquiring an electroencephalogram signal of a target brain area of a target object, and determining real-time nerve excitation characteristics of the target brain area based on the electroencephalogram signal.
The target object is an object that needs to receive transcranial magnetic stimulation, and may be a human, or an experimental animal, for example.
The target brain area is a preset brain area of a target object subjected to transcranial magnetic stimulation, and different target brain areas can be selected according to requirements, for example, the target brain area can be a brain area such as a sensory-motor cortex, a prefrontal cortex, a parietal cortex and an occipital cortex, and the target brain area can be one brain area or a set of a plurality of brain areas.
The electroencephalogram signals are the overall reflection of the electrophysiological activity of the cranial nerve tissues on the surface of the cerebral cortex, and the characteristics of the frequency of the electroencephalogram signals reflect different physiological information. The EEG signals contain different frequency components, and the different frequency components have different meanings. Therefore, the electroencephalogram signals need to be filtered according to the research purpose so as to obtain the electroencephalogram signals with different frequency components.
The method comprises the steps of obtaining an electroencephalogram signal of a target brain area, extracting electroencephalogram signal neural activity characteristics in real time, and determining the real-time neural excitation characteristics.
The real-time nerve excitation characteristic is the instantaneous characteristic of the neural oscillation rhythm of the electroencephalogram signal and reflects the instantaneous state of the current neural activity. Different nerve excitation characteristics correspond to different characteristics of the brain electrical signal nerve oscillation rhythm, and the nerve excitation characteristics are related to the brain nerve activity state. And further determining the neural excitation state of the target brain area according to the real-time neural excitation characteristics of the electroencephalogram signals.
The process of determining the real-time neural excitation characteristics of the target brain area based on the electroencephalogram signal may include: the method comprises the steps of electroencephalogram signal filtering processing, electroencephalogram signal feature extraction and the like, and the instantaneous phase and the instantaneous power of the electroencephalogram signal are obtained and used as the real-time nerve excitation features of a target brain area.
And S120, determining whether the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics corresponding to the target nerve excitation state.
The target neural excitation state may be a predetermined target neural excitation state for the target brain region to reach the target.
The reference neural excitation characteristic may be a neural excitation characteristic corresponding to a predetermined target brain region reaching a target neural excitation state.
The real-time neural excitation characteristics are related to the frequency content of the brain electrical signals. The electroencephalogram signal frequency components generally comprise gamma waves (30-100 Hz), beta waves (14-30 Hz), alpha waves (8-13 Hz), theta waves (4-7 Hz) and delta waves (below 4 Hz), and also comprise special mu waves, particularly the activities in the alpha section of a sensory-motor cortex, mainly related to the movement, and can be used as an index for determining whether the sensory-motor cortex is activated. When the sensory-motor cortex mu rhythm phase is in a wave crest, the excitation of the cranial nerves is weaker, the regulation and control effect of the carved point transcranial magnetic stimulation on the activity of the cranial nerves is weaker, when the sensory-motor cortex mu rhythm phase is in a wave trough, the excitation of the cranial nerves is higher, and the regulation and control effect of the carved point transcranial magnetic stimulation on the activity of the cranial nerves is stronger; the relationship between the phase of the μ rhythm and the excitability of the sensorimotor cortex is affected by the power of the μ rhythm, namely: the above relationship between the μ rhythm phase and the sensorimotor cortex excitability holds when the μ rhythm power is high, but does not show a significant relationship when the μ rhythm power is low. In summary, the instantaneous phase and instantaneous power are selected as the real-time neural excitation characteristics of the target brain region.
Matching the real-time nerve excitation characteristics of the target brain area with preset nerve excitation characteristics corresponding to the target brain area reaching the target nerve excitation state, determining whether to output a preset transcranial magnetic stimulation pulse signal according to the matching result, and ensuring that the transcranial magnetic stimulation pulse signal is output when the target brain area reaches the target nerve excitation state.
Specifically, it is determined whether the instantaneous phase in the real-time neural excitation feature is the trough phase in the reference neural excitation feature, and it is determined whether the instantaneous power in the real-time neural excitation feature is greater than the power threshold corresponding to the reference neural excitation feature.
When the instantaneous phase in the target frequency band real-time neural excitation feature of the target brain area is a trough phase, the neural excitation of the target brain area is high, and when the instantaneous phase in the target frequency band real-time neural excitation feature of the target brain area is a peak phase, the neural excitation of the target brain area is weak.
When the target frequency band neural excitability of the target brain area of the target object is high, a transcranial magnetic stimulation pulse signal is output to perform transcranial magnetic stimulation, and whether the instantaneous power value in the real-time neural excitability characteristic is larger than a preset power threshold of the reference neural excitability characteristic needs to be further determined.
The determination process of the power threshold value comprises the following steps: obtaining a resting electroencephalogram signal of a target brain area of a target object in a resting state; extracting a target frequency band resting electroencephalogram signal associated with the excitation rhythm of the target brain area from the resting electroencephalogram signal; and taking the mean value of the squares of the signal amplitudes of all moments in the resting electroencephalogram signals of the target frequency band as a power threshold.
Specifically, before transcranial magnetic stimulation is performed, a resting electroencephalogram signal of a target brain area of a target object in a resting state is acquired, a resting electroencephalogram signal of a target frequency band of the target brain area is extracted from the resting electroencephalogram signal, for example, a μ -rhythm electroencephalogram signal of a sensory motor cortex for 3 minutes in a resting state with eyes open, and an average value of squares of signal amplitudes at each time in the resting electroencephalogram signal of the target frequency band is used as a power threshold.
Optionally, the determining process of the power threshold may further include: the method comprises the steps of determining a frequency band peak value of a target frequency band for carrying out electroencephalogram signals based on a preset spectrum analysis model, and determining high-pass cut-off frequency and low-pass cut-off frequency for filtering the electroencephalogram signals based on the frequency band peak value.
Specifically, the spectrum of the electroencephalogram signal of the target brain area of the target object is obtained by utilizing a periodogram method or an autoregressive model power spectral density estimation, the maximum value of the frequency band spectrum is obtained within the range of the target frequency band, the frequency value corresponding to the maximum value is the frequency band peak value of the target frequency band of the target object, and the high-pass cut-off frequency and the low-pass frequency for filtering the electroencephalogram signal can be further determined through the frequency band peak value. For example, the high-pass cutoff frequency and the low-pass frequency of the electroencephalogram signal for filtering are plus or minus 2Hz for the band peak of the target frequency band of the target object.
And S130, triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics.
When the real-time nerve excitation characteristics of the electroencephalogram signals of the target brain area of the target object are matched with the reference nerve excitation characteristics of the target brain area of the target object, the target brain area is shown to reach the target nerve excitation state, and the target object can receive transcranial magnetic stimulation and control the transcranial magnetic stimulation pulse signals to be output.
When the instantaneous phase in the target frequency band real-time nerve excitation feature of the target brain area of the target object is the trough phase and the instantaneous power is greater than the power threshold corresponding to the reference nerve excitation feature, triggering and outputting a preset transcranial magnetic stimulation pulse signal.
According to the technical scheme of the embodiment, the electroencephalogram signal of the target brain area of the target object is obtained, the real-time nerve excitation characteristic of the target brain area is determined based on the electroencephalogram signal, whether the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic corresponding to the target nerve excitation state is determined, when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic, the preset transcranial magnetic stimulation pulse signal is triggered and output, it is ensured that each transcranial magnetic stimulation pulse signal is output at the moment point of the target nerve excitation state, the regulation effect of transcranial magnetic stimulation on brain activity can be effectively enhanced, and transcranial magnetic stimulation regulation and control with high time precision are achieved.
Fig. 2 is a flowchart of another control method for data processing transcranial magnetic stimulation pulse signals according to an embodiment of the present invention, where the control method for data processing transcranial magnetic stimulation pulse signals according to this embodiment and the control method for data processing transcranial magnetic stimulation pulse signals according to the foregoing embodiments belong to the same inventive concept, and further describe a scheme for determining real-time excitation characteristics of a target brain region based on electroencephalogram signals. The method can be executed by a transcranial magnetic stimulation pulse signal control device, which can be realized by software and/or hardware and is integrated in a computer device with application development function.
As shown in fig. 2, the transcranial magnetic stimulation pulse signal control method of the present embodiment includes the following steps:
s210, acquiring an electroencephalogram signal of a target brain area of the target object, and filtering the electroencephalogram signal to obtain a target frequency band electroencephalogram signal associated with an excitation rhythm of the target brain area.
Specifically, the determining of the real-time neural excitation characteristics of the target brain area based on the electroencephalogram signal may include the following steps:
firstly, performing Laplace spatial filtering on the electroencephalogram signals to obtain spatial filtering signals.
The Laplace spatial filtering is carried out on the electroencephalogram signal of the target brain area, noise can be reduced, the signal to noise ratio of the acquired electroencephalogram signal is improved, and a spatial filtering signal is acquired. For example, as shown in fig. 3, a target brain area electrode E0 is placed at a preset spatial position point of a target brain area, a ground electrode is placed at a tip of a nose, 2 reference electrodes are placed at a binaural papillary, 4 spatial filtering electroencephalogram electrodes E1, E2, E3, and E4 are placed at the same front and back of the same sagittal line and at the same left and right of the coronal plane as the target brain area electrode E0, four spatial filtering electrodes E1, E2, E3, and E4 are placed on the sagittal line and the coronal line at a distance of 2cm from the target brain area electrode E0 near the target brain area electrode E0, a laplacian spatial filter for an electroencephalogram signal of the target brain area electrode E0 is formed, 500ms is used as a real-time processing time period for the electroencephalogram signal of the target brain area electrode E0, and the electroencephalogram signal of 500ms passes through the laplacian available high-signal-to-noise ratio spatial filtering.
And then, inputting the spatial filtering signal into a zero-phase finite impulse response band-pass filter for frequency domain filtering to obtain the target frequency band electroencephalogram signal.
And (3) inputting the spatial filtering signal into a zero-phase finite impulse response band-pass filter for frequency domain filtering to obtain a target frequency band frequency domain electroencephalogram signal. For example, the spatial filtering signal is input to a zero-phase finite impulse response frequency domain filter with the order of Fs/2, wherein Fs is the sampling rate of the electroencephalogram signal, and a mu rhythm time domain waveform is obtained.
S220, carrying out distortion signal processing and forward prediction processing on the target frequency band electroencephalogram signal to obtain a forward prediction electroencephalogram signal.
In the process of frequency domain filtering, the filtering process causes distortion of the obtained target frequency band frequency domain electroencephalogram signal, so that the distorted signal needs to be cut off, and then the electroencephalogram signal section is subjected to forward prediction processing to obtain a forward prediction electroencephalogram signal.
In the process, firstly, distorted signal sections corresponding to the initial signal position and the final signal position of the electroencephalogram signal of the target frequency band are filtered, and an electroencephalogram signal section without filtering distortion is obtained.
In order to obtain the unfiltered distorted electroencephalogram signal section, distorted signals at the starting signal position and the ending signal position of the electroencephalogram signal in the frequency domain of the target frequency band need to be filtered, and the residual electroencephalogram signal in the target frequency band after filtering is the unfiltered distorted electroencephalogram signal section and is used for forward prediction of the signal, for example, the electroencephalogram signal sections of the 500ms signal section and the last 64ms of the electroencephalogram signal section of the target brain area are removed, so that the residual 372ms unfiltered distorted electroencephalogram signal section is obtained and is used for forward prediction of the signal.
And then, carrying out forward prediction on the non-filtering distortion electroencephalogram signal section by adopting a preset signal prediction method to obtain a forward prediction electroencephalogram signal.
An autoregressive forward prediction model can be established by utilizing the filtering distortion-free signal section, and forward prediction is carried out on the filtering distortion-free electroencephalogram signal section; the method can also be used for carrying out forward prediction on the filtering distortion-free electroencephalogram signal section by utilizing a sine wave fitting method to obtain a forward prediction electroencephalogram signal. For example, based on the residual 372ms filterless distortion electroencephalogram signal segment, an autoregressive model with the order of P based on Yule-Walker is established, wherein the number P can be determined by a Bayesian information criterion-based method, and a forward prediction signal is obtained.
And S230, determining the instantaneous phase and the instantaneous power of the forward prediction electroencephalogram signal as the real-time nerve excitation characteristics of the target brain area.
The method comprises the following steps of determining the instantaneous phase and the instantaneous power of a forward prediction electroencephalogram signal, and taking the instantaneous phase and the instantaneous power as the real-time neural excitation characteristics of a target brain area:
specifically, hilbert yellow transform can be performed on the forward prediction electroencephalogram signal to obtain an instantaneous phase at a target moment, and the square of the amplitude of the electroencephalogram signal at the target moment is calculated as instantaneous power.
And performing Hilbert-Huang transformation by using the forward prediction electroencephalogram signal of the target frequency band to obtain the instantaneous phase of the target brain area at the target moment, and then taking the square of the amplitude of the electroencephalogram signal at the target moment as the instantaneous power value. The real-time neural excitation characteristics for the target time instant may include the instantaneous power value. For example, hilbert yellow transform is performed to obtain an instantaneous phase value at a time point of 500ms, and an instantaneous power value is obtained by calculating a square of a signal amplitude at the time point of 500 ms.
And S240, determining whether the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics corresponding to the target nerve excitation state.
And S250, triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics.
Specifically, whether the instantaneous phase is located at a wave trough or not is judged, if so, whether the instantaneous power value is greater than a power threshold or not is judged, and if so, a preset transcranial magnetic stimulation pulse signal is triggered and output. And if the trigger condition is not met, reading the next 500ms data and judging again.
According to the technical scheme of the embodiment, the electroencephalogram signal is filtered to obtain a target frequency band electroencephalogram signal associated with the excitation rhythm of a target brain area; then, carrying out distortion signal processing and forward prediction processing on the target frequency band electroencephalogram signal to obtain a forward prediction electroencephalogram signal; determining the instantaneous phase and the instantaneous power of the forward prediction electroencephalogram signal as the real-time neural excitation characteristics of the target brain area; determining whether the real-time neural excitation characteristics are matched with reference neural excitation characteristics corresponding to the target neural excitation state; and finally, triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic. The technical scheme of the embodiment of the invention ensures that the transcranial magnetic stimulation pulse signal is output when the triggering condition, namely the time point of the target nerve excitation state, is met, and the transcranial magnetic stimulation regulation and control with high time precision are realized.
In a specific example of transcranial magnetic stimulation, a schematic diagram of connections of transcranial magnetic stimulation pulse signal control hardware is shown in fig. 4, and includes a transcranial magnetic stimulation instrument 410, a coil 420, a target brain region 430, an electroencephalogram acquisition electrode 440, an electroencephalogram amplification module 450, a digital data acquisition module 460, an electroencephalogram signal storage module, a brain electrical signal processing module 470, an electroencephalogram signal processing module 1 (480), and an electroencephalogram signal processing module 2 (490).
The specific implementation steps are as follows:
1. the transcranial magnetic stimulation instrument 410 outputs transcranial magnetic stimulation pulse signals, and is connected with the coil 420.
The transcranial magnetic stimulation device 410 may be a Magstim Rapid2 transcranial magnetic stimulation device produced in uk, a transcranial magnetic stimulation device with an external input/output port such as MAG & More produced in germany, or any other transcranial magnetic stimulation device with an external input/output trigger port. Wherein the coil 420 is placed in the target brain region 430 of the target subject the coil may use a splayed coil, a biconic coil, a circular coil, etc. matched to a transcranial magnetic stimulator.
2. The brain electricity acquiring electrode 440 acquires the high time resolution brain electricity signal of the target brain area 430, and the brain electricity acquiring electrode 440 is connected with the brain electricity amplifying module 450.
3. The electroencephalogram amplification module 450 amplifies weak electroencephalogram signals. The electroencephalogram amplification module 450 can be a NeurOne commercial electroencephalogram amplifier produced by finland, or a domestic electroencephalogram amplifier with a good electroencephalogram signal amplification function or an electroencephalogram amplification device manufactured, and only needs to be provided with an output port for amplifying an electroencephalogram signal, the output port can be connected with the data acquisition module 460, and the amplified electroencephalogram analog signal is input into the data acquisition module 460.
4. The data acquisition module 460 converts the acquired analog electroencephalogram signal into a digital electroencephalogram signal through analog-to-digital conversion, and the data acquisition module 460 is further connected with the transcranial magnetic stimulation instrument (410), the electroencephalogram signal storage module 470 and the electroencephalogram signal processing module 1 (480).
5. The brain wave storage module 470 stores the digital brain wave signal, and the brain wave storage module 470 is connected with the brain wave signal processing module 2 (490).
6. The electroencephalogram signal processing module 2 (490) determines a target frequency band value of the target brain area 430, and the electroencephalogram signal processing module 2 (490) is connected with the electroencephalogram signal processing module 1 (480).
The electroencephalogram signal processing module 1 (480) can be a lower computer based on simulink, labview, ARM or the like and is used for determining real-time nerve excitation characteristics. And the system is further used for judging whether the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics or not according to the real-time nerve excitation characteristics, and if the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics, generating a TTL level signal and transmitting the TTL level signal to the data acquisition module. Specifically, laplace spatial filtering is performed on an electroencephalogram signal acquired by a target brain area electrode E0 to acquire a spatial filtering signal; and inputting the spatial filtering signal into a zero-phase finite impulse response band-pass filter for frequency domain filtering to obtain a target frequency band neural oscillation signal, namely a frequency domain filtering signal. Wherein the high-pass cut-off frequency and the low-pass frequency of the band filter can be determined by the neural oscillation frequency band. The filtering results in distortion at the start and end of the frequency domain filtered signal, so that the distorted signal is cut off some time after the start and before the end, and the remaining signal is a non-filtered distorted signal segment. Then, the signal is forward predicted by applying the non-filtering distortion signal segment to obtain a forward prediction signal, and the application method can be any one of the following methods: (1) Establishing an autoregressive forward prediction model by using the filtering distortion-free signal section, and performing forward prediction on the signal; (2) And performing forward prediction on the signal by using a sine wave fitting method. And performing Hilbert-Huang transformation on the forward prediction signal to obtain an instantaneous phase value of the signal, and obtaining an instantaneous power value by using the square of the amplitude. And then judging whether the triggering condition is met, if the triggering condition is met, outputting a TTL level by an output port of the data acquisition module 460, and triggering the transcranial magnetic stimulation instrument 410 to control the output of the pulse signal. And if the condition is not met, performing next cycle detection.
Wherein the obtaining of the target frequency band neural oscillation signal comprises: (1) Before outputting a transcranial magnetic stimulation pulse signal, acquiring an electroencephalogram signal of a target brain area 430 of a target object for 3 minutes in an eye-opening resting state; (2) The electroencephalogram signal is stored in the electroencephalogram signal storage module 470, and the electroencephalogram signal is transmitted to the electroencephalogram signal processing module 2 (490) through the electroencephalogram signal storage module 470; (3) In the signal processing module 2 (490), the spectrum of the electroencephalogram signal of the target brain area (430) is estimated and obtained by using a periodogram method or an autoregressive model power spectral density, because the positions of the spectrum peaks of different target objects are different, the maximum value of the frequency band spectrum is obtained within the range of the target frequency band, and the frequency value corresponding to the maximum value of the frequency band spectrum is used as the target object frequency band peak. The high-pass cut-off frequency and the low-pass frequency of the electroencephalogram signal for filtering are plus or minus 2Hz of the frequency band peak value of the target frequency band of the target object. And calculating the square of the amplitude of each time point of the target brain area electroencephalogram signal as instantaneous power, and solving the average value of the instantaneous power of all the time points as a power threshold.
7. The output end of the data acquisition module (460) is connected with an external interface of the transcranial magnetic stimulation instrument (410), receives the level of the TTL output by the electroencephalogram signal processing module 1 (480), and then transmits the level to the transcranial magnetic stimulation instrument.
8. After receiving the TTL level output by the data acquisition module 460, the transcranial magnetic stimulation apparatus 410 outputs a preset transcranial magnetic stimulation pulse signal.
Fig. 5 is a schematic structural diagram of a transcranial magnetic stimulation pulse signal control device according to an embodiment of the present invention, which is applicable to pulse signal output control of a transcranial magnetic stimulation apparatus, and the device may be implemented by software and/or hardware and integrated in a computer terminal device with an application development function.
As shown in fig. 5, the transcranial magnetic stimulation pulse signal control device includes: the electroencephalogram signal feature extraction module 510, the electroencephalogram signal feature analysis module 520 and the pulse signal control module 530.
The electroencephalogram signal feature extraction module 510 is configured to acquire an electroencephalogram signal of a target brain area of a target object, and determine a real-time neural excitation feature of the target brain area based on the electroencephalogram signal; an electroencephalogram signal characteristic analysis module 520, configured to determine whether the real-time neural excitation characteristic matches a reference neural excitation characteristic corresponding to the target neural excitation state; and the pulse signal control module 530 is used for triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics.
According to the technical scheme of the embodiment, through mutual matching of the modules, the operations of extracting electroencephalogram signal characteristics, analyzing the electroencephalogram signal characteristics, controlling pulse signals and the like are realized. The embodiment of the invention solves the problem that the transcranial magnetic stimulation effect is influenced by the transient change of the brain nerve activity, controls the output of each transcranial magnetic stimulation pulse signal at the time point of the nerve excitation state, can effectively enhance the regulation and control effect of the transcranial magnetic stimulation on the brain activity, and realizes the transcranial magnetic stimulation regulation and control with high time precision.
Optionally, the electroencephalogram signal feature extraction module 510 is specifically configured to: filtering the electroencephalogram signal to obtain a target frequency band electroencephalogram signal associated with the excitation rhythm of the target brain area; carrying out distortion signal processing and forward prediction processing on the target frequency band electroencephalogram signal to obtain a forward prediction electroencephalogram signal; and determining the instantaneous phase and the instantaneous power of the forward prediction electroencephalogram signal as the real-time nerve excitation characteristics of the target brain area.
Optionally, the electroencephalogram signal feature extraction module 510 may be further configured to: carrying out Laplace spatial filtering on the electroencephalogram signals to obtain spatial filtering signals; and inputting the spatial filtering signal into a zero-phase finite impulse response band-pass filter for frequency domain filtering to obtain a target frequency band electroencephalogram signal.
Optionally, the electroencephalogram feature extraction module 510 may be further configured to: filtering distortion signal sections corresponding to the initial signal position and the final signal position of the target frequency band electroencephalogram signal to obtain a non-filtering distortion electroencephalogram signal section; and adopting a preset signal prediction method to perform forward prediction on the non-filtering distortion electroencephalogram signal section to obtain a forward prediction electroencephalogram signal.
Optionally, the electroencephalogram signal feature extraction module 510 is further configured to: and performing Hilbert-Huang transformation on the forward prediction electroencephalogram signal to obtain an instantaneous phase at a target moment, and calculating the square of the amplitude of the electroencephalogram signal at the target moment as instantaneous power.
Optionally, the transcranial magnetic stimulation pulse signal control device further includes:
the electroencephalogram signal feature analysis module 520 is configured to determine whether an instantaneous phase in the real-time neural excitation feature is a trough phase in the reference neural excitation feature, and determine whether an instantaneous power in the real-time neural excitation feature is greater than a power threshold corresponding to the reference neural excitation feature.
Optionally, the electroencephalogram signal feature analysis module 520 is further configured to: and obtaining a resting electroencephalogram signal of a target brain area of the target object in a resting state. And extracting a target frequency band resting electroencephalogram signal associated with the excitation rhythm of the target brain area from the resting electroencephalogram signal. And taking the mean value of the squares of the signal amplitudes of all moments in the resting electroencephalogram signals of the target frequency band as a power threshold.
Optionally, the electroencephalogram signal feature analysis module 520 may be further configured to: the method comprises the steps of determining a frequency band peak value of a target frequency band for carrying out electroencephalogram signals based on a preset spectrum analysis model, and determining high-pass cut-off frequency and low-pass cut-off frequency for filtering the electroencephalogram signals based on the frequency band peak value.
The transcranial magnetic stimulation pulse signal control device provided by the embodiment of the invention can execute the transcranial magnetic stimulation pulse signal control method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention. FIG. 6 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 6 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention. The computer device 12 may be any terminal device with computing power, such as a smart controller and a server, a mobile phone, and so on.
As shown in FIG. 6, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and transcranial magnetic stimulation pulse signal control by executing programs stored in the system memory 28, for example, implementing a transcranial magnetic stimulation pulse signal control method provided by the embodiment of the present invention, the method including:
acquiring an electroencephalogram signal of a target brain area of a target object, and determining real-time nerve excitation characteristics of the target brain area based on the electroencephalogram signal;
determining whether the real-time neural excitation features are matched with reference neural excitation features corresponding to the target neural excitation state;
and triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristics are matched with the reference nerve excitation characteristics.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a transcranial magnetic stimulation pulse signal control method according to any embodiment of the present invention, where the method includes:
acquiring an electroencephalogram signal of a target brain area of a target object, and determining real-time nerve excitation characteristics of the target brain area based on the electroencephalogram signal;
determining whether the real-time neural excitation features are matched with reference neural excitation features corresponding to the target neural excitation state;
and triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer-readable storage medium may be, for example but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It will be understood by those skilled in the art that the modules or steps of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and optionally they may be implemented by program code executable by a computing device, such that it may be stored in a memory device and executed by a computing device, or it may be separately fabricated into various integrated circuit modules, or it may be fabricated by fabricating a plurality of modules or steps thereof into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It is to be noted that the foregoing description is only exemplary of the invention and that the principles of the technology may be employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in some detail by the above embodiments, the invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the invention, and the scope of the invention is determined by the scope of the appended claims.
Claims (11)
1. A transcranial magnetic stimulation pulse signal control method is characterized by comprising the following steps:
acquiring an electroencephalogram signal of a target brain area of a target object, and determining real-time nerve excitation characteristics of the target brain area based on the electroencephalogram signal;
determining whether the real-time neural excitation features match reference neural excitation features corresponding to a target neural excitation state;
and triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time neural excitation characteristic is matched with the reference neural excitation characteristic.
2. The method of claim 1, wherein said determining real-time neural excitation characteristics of said target brain region based on said brain electrical signal comprises:
filtering the electroencephalogram signal to obtain a target frequency band electroencephalogram signal associated with the excitation rhythm of the target brain area;
carrying out distortion signal processing and forward prediction processing on the target frequency band electroencephalogram signal to obtain a forward prediction electroencephalogram signal;
determining an instantaneous phase and an instantaneous power of the forward predicted brain electrical signal as a real-time neural excitation characteristic of the target brain region.
3. The method of claim 2, wherein said performing distortion signal processing and forward prediction processing on said target band EEG signal to obtain a forward predicted EEG signal comprises:
filtering distortion signal sections corresponding to the initial signal position and the final signal position of the target frequency band electroencephalogram signal to obtain a non-filtering distortion electroencephalogram signal section;
and carrying out forward prediction on the filtering distortion-free electroencephalogram signal section by adopting a preset signal prediction method to obtain the forward prediction electroencephalogram signal.
4. The method of claim 2, wherein said determining the instantaneous phase and instantaneous power of said forward predicted brain electrical signal comprises:
and performing Hilbert-Huang transformation on the forward prediction electroencephalogram signal to obtain the instantaneous phase at the target moment, and calculating the square of the amplitude of the electroencephalogram signal at the target moment as the instantaneous power.
5. The method of claim 2, wherein said filtering said brain electrical signal to obtain a target frequency band brain electrical signal associated with an excitation rhythm of said target brain region comprises:
performing Laplace spatial filtering on the electroencephalogram signals to obtain spatial filtering signals;
and inputting the spatial filtering signal into a zero-phase finite impulse response band-pass filter for frequency domain filtering to obtain the target frequency band electroencephalogram signal.
6. The method of any one of claims 1-5, wherein determining whether the real-time neural excitation characteristics match reference neural excitation characteristics corresponding to a target neural excitation state comprises:
determining whether the instantaneous phase in the real-time neural excitation feature is a trough phase in the reference neural excitation feature, and determining whether the instantaneous power in the real-time neural excitation feature is greater than a power threshold corresponding to the reference neural excitation feature.
7. The method of claim 6, wherein the determining the power threshold comprises:
obtaining a resting electroencephalogram signal of a target brain area of the target object in a resting state;
extracting a target frequency band resting electroencephalogram signal associated with the excitation rhythm of the target brain area from the resting electroencephalogram signal;
and taking the mean value of the squares of the signal amplitudes of all moments in the resting electroencephalogram signals of the target frequency band as the power threshold.
8. The method of claim 7, further comprising:
determining a frequency band peak value of the resting electroencephalogram signal of the target frequency band based on a preset spectrum analysis model, and determining a high-pass cut-off frequency and a low-pass cut-off frequency for filtering the electroencephalogram signal based on the frequency band peak value.
9. A transcranial magnetic stimulation pulse signal control device, characterized in that the device comprises:
the electroencephalogram signal feature extraction module is used for acquiring an electroencephalogram signal of a target brain area of a target object and determining real-time neural excitation features of the target brain area based on the electroencephalogram signal;
the electroencephalogram signal characteristic analysis module is used for determining whether the real-time neural excitation characteristics are matched with reference neural excitation characteristics corresponding to the target neural excitation state;
and the pulse signal control module is used for triggering and outputting a preset transcranial magnetic stimulation pulse signal when the real-time nerve excitation characteristic is matched with the reference nerve excitation characteristic.
10. A computer device, characterized in that the computer device comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the transcranial magnetic stimulation pulse signal control method as defined in any one of claims 1-8.
11. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out a transcranial magnetic stimulation pulse signal control method according to any one of claims 1-8.
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| CN117427277A (en) * | 2023-12-15 | 2024-01-23 | 杭州般意科技有限公司 | Control method, device, terminal and storage medium of transcranial alternating current stimulation equipment |
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| CN117427277A (en) * | 2023-12-15 | 2024-01-23 | 杭州般意科技有限公司 | Control method, device, terminal and storage medium of transcranial alternating current stimulation equipment |
| CN117427277B (en) * | 2023-12-15 | 2024-03-12 | 杭州般意科技有限公司 | Control method, device, terminal and storage medium of transcranial alternating current stimulation equipment |
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