CN115999069A - Method, device, equipment and storage medium for determining parameters of transcranial optical stimulation - Google Patents
Method, device, equipment and storage medium for determining parameters of transcranial optical stimulation Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for determining parameters of transcranial optical stimulation. The method for determining the parameters of transcranial optical stimulation comprises the following steps: acquiring multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of a stimulated subject in a first time window of transcranial optical stimulation; extracting one path of electroencephalogram signals in the plurality of paths of electroencephalogram signals as a first electroencephalogram signal, and extracting one path of metabolic signals in the plurality of paths of metabolic signals as a first metabolic signal; performing first preprocessing on the first electroencephalogram signal to obtain a second electroencephalogram signal, and performing second preprocessing on the first metabolic signal to obtain a second metabolic signal; coupling the second electroencephalogram signal with the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value; obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signals, the second metabolic signals and the electroencephalogram metabolic coupling characteristic values; and performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in a second time window.
Description
Technical Field
The present invention relates to the field of medical technology, and more particularly, to a method and apparatus for determining parameters of transcranial optical stimulation, an electronic device, and a computer readable storage medium.
Background
Transcranial optical stimulation plays an increasingly important role in human health, and can regulate circadian rhythms through near infrared light, promote vision development, participate in vitamin metabolic activities in vivo and the like. Transcranial optical stimulation developed in recent years uses near infrared light to pass non-invasively through the skull into the cerebral cortex, acting to enhance cognitive function and protect nerves through a complex series of photobiological reactions.
However, in existing transcranial optical stimulation treatments, conventional or empirically based transcranial optical stimulation parameters are typically selected to transcranial optical stimulate the brain of the subject to be stimulated. However, it is not known whether the laser penetrates the tissue during transcranial optical stimulation to elicit a sufficient amount of biological response. In addition, due to the great variability among the individual subjects of stimulation, the intervention effect on transcranial optical stimulation cannot be ensured.
Disclosure of Invention
It is an object of embodiments of the present disclosure to provide a new solution for a method of parameter determination in relation to transcranial optical stimulation.
According to a first aspect of the present disclosure, there is provided a method of parameter determination of transcranial optical stimulation, the method of parameter determination of transcranial optical stimulation comprising: acquiring multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of a stimulated subject in a first time window of transcranial optical stimulation; extracting one path of electroencephalogram signals corresponding to a preset stimulation target area from the multiple paths of electroencephalogram signals as a first electroencephalogram signal, and extracting one path of metabolic signals corresponding to the stimulation target area from the multiple paths of metabolic signals as a first metabolic signal; a first preprocessing for setting the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and a second preprocessing for setting the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal; coupling the second electroencephalogram signal with the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value; obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signals, the second metabolic signals and the electroencephalogram metabolic coupling characteristic values; wherein the second time window is located after the first time window; and performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in a second time window.
Optionally, the multiple paths of electroencephalogram signals are continuously collected in a first time window, the multiple paths of metabolic signals are collected through optical imaging, and light irradiation corresponding to the optical imaging and transcranial light stimulation are alternately performed in the first time window.
Optionally, the light output to the brain of the subject by transcranial light stimulation is near infrared light within a preset line width range.
Optionally, performing a first preprocessing for setting the first electroencephalogram signal to obtain a processed first electroencephalogram signal as the second electroencephalogram signal, including: according to the first electroencephalogram signal, filtering the first electroencephalogram signal; noise filtering is carried out on the processed first electroencephalogram signals to obtain second electroencephalogram signals; a second preprocessing for setting the first metabolic signal, to obtain a processed first generation Xie Xinhao as a second metabolic signal, including: and filtering the first metabolism signal to obtain a second metabolism signal.
Optionally, coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value, including: and coupling the second electroencephalogram signal and the second metabolic signal to obtain a coupling characteristic value between the second electroencephalogram signal and the second metabolic signal, and taking the maximum value in the coupling characteristic value as an electroencephalogram metabolic coupling characteristic value.
Optionally, obtaining transcranial optical stimulation parameters corresponding to the stimulation object in the second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value includes:
fitting the second brain electrical signal and the second metabolic signal with a preset standard light stimulation response curve to obtain a target light stimulation curve; and obtaining transcranial optical stimulation parameters of the stimulation object matched with the brain metabolism coupling characteristic values in a second time window according to the target optical stimulation curve.
Optionally, the transcranial optical stimulation parameters include stimulation duration and irradiance of transcranial optical stimulation.
According to a second aspect of the present disclosure, there is also provided a parameter determination device for transcranial optical stimulation, including a data acquisition module, a first processing module, a second processing module, a third processing module, a parameter confirmation module, and a fourth processing module. Wherein:
the data acquisition module is used for acquiring multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of the stimulation object in a first time window of transcranial optical stimulation;
the first processing module is used for extracting one path of electroencephalogram signals corresponding to a preset stimulation target area from the multiple paths of electroencephalogram signals to serve as first electroencephalogram signals, and extracting one path of metabolic signals corresponding to the stimulation target area from the multiple paths of metabolic signals to serve as first metabolic signals;
The second processing module is used for performing first preprocessing on the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and performing second preprocessing on the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal;
the third processing module is used for coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value;
the parameter confirmation module is used for obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value; wherein the second time window is located after the first time window;
and the fourth processing module is used for performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in the second time window.
According to a third aspect of the present disclosure there is also provided an electronic device comprising a processor and a memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method of determining parameters of transcranial optical stimulation as in any of the first aspects.
According to a fourth aspect of the present disclosure, there is also provided a computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the method for determining parameters of transcranial optical stimulation according to any of the first aspects.
According to the parameter determination method of transcranial optical stimulation, multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of a stimulated subject in a first time window of transcranial optical stimulation are acquired; extracting one path of electroencephalogram signals corresponding to a preset stimulation target area from the multiple paths of electroencephalogram signals as a first electroencephalogram signal, and extracting one path of metabolic signals corresponding to the stimulation target area from the multiple paths of metabolic signals as a first metabolic signal; a first preprocessing for setting the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and a second preprocessing for setting the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal; coupling the second electroencephalogram signal with the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value; obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signals, the second metabolic signals and the electroencephalogram metabolic coupling characteristic values; wherein the second time window is located after the first time window; and performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in a second time window. By the mode, the stimulation parameters of the transcranial optical stimulation can be adjusted according to the brain electrical signals and the metabolic signals acquired under the transcranial optical stimulation, so that the accuracy of the transcranial optical stimulation is improved, and the stimulation effect of the transcranial optical stimulation is enhanced.
Other features of the present invention and its advantages will become apparent from the following detailed description of exemplary embodiments of the invention, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a hardware configuration diagram of an electronic device for implementing one embodiment;
FIG. 2 is a flow diagram of a method of determining parameters of transcranial optical stimulation according to one embodiment;
FIG. 3 is a schematic diagram of a method of parameter determination for transcranial optical stimulation according to yet another embodiment;
FIG. 4 is a schematic diagram of a method of parameter determination for transcranial optical stimulation according to yet another embodiment;
FIG. 5 is a schematic diagram of a method of parameter determination for transcranial optical stimulation according to yet another embodiment;
FIG. 6 is a schematic diagram of a parameter determination apparatus that may be used to implement transcranial optical stimulation of one embodiment;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
< implementation Environment and hardware configuration >
Fig. 1 is a hardware configuration diagram of an electronic device 1000 to which a parameter determination method of transcranial optical stimulation according to an embodiment of the present invention can be applied.
As shown in fig. 1, the electronic device 1000 may include a processor 1100, a memory 1200, an interface device 1300, a display device 1400, an input device 1500, and the like. The processor 1100 is configured to execute a computer program that may employ an instruction set of an architecture such as x86, arm, RISC, MIPS, SSE, etc. The memory 1200 includes, for example, ROM (read only memory), RAM (random access memory), nonvolatile memory such as a hard disk, and the like. The interface device 1300 is a physical interface, such as a USB interface or a headphone interface. The display device 1400 may be a display screen, which may be a touch display screen. The input device 1500 may include a keyboard, a mouse, etc., and may also include a touch device.
In this embodiment, the memory 1200 of the electronic device 1000 is used to store a computer program for controlling the processor 1100 to operate to implement the parameter determination method of transcranial optical stimulation according to any of the embodiments. The skilled person can design a computer program according to the solution disclosed in the present specification. How the computer program controls the processor 1100 to operate is well known in the art and will not be described in detail here.
It should be understood by those skilled in the art that, although a plurality of devices of the electronic device 1000 are illustrated in fig. 1, the electronic device 1000 of the embodiment of the disclosure may refer to only some of the devices, and may further include other devices, which are not limited herein.
< method example >
Fig. 2 illustrates a method of parameter determination for transcranial optical stimulation according to one embodiment. The method of determining parameters of transcranial optical stimulation may be implemented by an electronic device 1000 as shown in fig. 1.
The method for determining the parameters of transcranial optical stimulation comprises the following steps S1000 to S1500, which are described in detail below:
step S1000, acquiring multiple brain electrical signals and multiple metabolic signals generated by the brain of the stimulation subject within a first time window of transcranial optical stimulation.
Transcranial photostimulation plays an increasingly important role in human health, such as near infrared light in the wavelength range of 630nm to 1100nm can regulate circadian rhythms, promote vision development, or participate in vitamin metabolic activity in the body, and the like. Transcranial optical stimulation developed in recent years uses near infrared light to pass non-invasively through the skull into the cerebral cortex, acting to enhance cognitive function and protect nerves through a complex series of photobiological reactions. This includes that Cytochrome C Oxidase (CCO) promotes its own catalytic efficiency in oxidative phosphorylation reactions by absorbing photons.
In the embodiment of the application, the transcranial optical stimulation can be performed on the preset stimulation target area of the brain of the stimulation object in the first time window according to the conventional parameters, and the multi-path brain electrical signals and the multi-path metabolic signals generated by the brain of the stimulation object in the first time window of transcranial optical stimulation are collected.
In an embodiment of the present application, as shown in A1 and A2 in fig. 5, a multi-modal data recording module may be used to synchronously acquire multiple brain electrical signals and multiple metabolic signals (i.e., simultaneous EEG-fnigs) generated by the brain of the subject under transcranial optical stimulation. The multi-modality data recording module may include a broad-spectrum near infrared (bbNIRS) recording module and an electroencephalogram (EEG) recording module, among others. The multi-modal brain signals collected by the multi-modal data recording module can be curves of multi-channel metabolic signals and multi-channel brain signals along with time change. Specifically, the broad-spectrum near-infrared recording module can record the multi-path metabolic signals generated by the brain of the stimulation object, and the electroencephalogram recording module can record the multi-path electroencephalogram signals generated by the brain of the stimulation object. The plurality of brain electrical signals may be brain electrical data (EEG) and the plurality of metabolic signals may be Cytochrome C Oxidase (CCO) concentration data. In addition, the multi-mode data recording module can be connected with an electroencephalogram infrared integrated cap. The brain electricity infrared integrated cap can be worn on the brain of a stimulated object, and collected data can be transmitted back to the multi-mode data recording module.
It is noted therein that the transcranial optical stimulation within the first time window may be a transcranial optical stimulation of the brain of the stimulated subject using conventional parameters or empirically based transcranial optical stimulation parameters. The transcranial optical stimulation parameters can include stimulation duration, stimulation target area, irradiance, total dose and the like. It should be noted that, in the embodiment of the present application, for the selection of the stimulation target area, the brain partition of the international 10-20 system may be used to select one stimulation target area of the plurality of stimulation target areas of the forehead area as the stimulation target area corresponding to transcranial optical stimulation within the first time window. The specific stimulation target area for the forehead area may be selected according to the actual situation, and is not limited herein.
In embodiments of the present application, as shown in fig. 3, a pre-set stimulation target area of the brain of the stimulated subject may be first subjected to transcranial optical stimulation intervention using conventional parameters or empirically based transcranial optical stimulation parameters within a first time window. On the basis, multiple brain electrical signals and multiple metabolic signals generated by stimulating the brain of the subject within a first time window can be acquired. And calculating and analyzing the multi-path brain electrical signals and the multi-path metabolic signals acquired in the first time window through a synchronous EEG-NIRS analysis algorithm to obtain transcranial optical stimulation parameters corresponding to transcranial optical stimulation of the brain of the stimulated subject in the second time window. It is noted that the second time window may be subsequent to the first time window.
In embodiments of the present application, the multiple brain electrical signals and multiple metabolic signals may be collected by an integrated brain electrical and infrared cap worn on the head of the subject. The electroencephalogram and infrared integrated cap can be provided with a plurality of electrodes, and the electrodes respectively correspond to a plurality of test points of the head of the stimulation object. That is, the electroencephalogram and infrared integrated cap can respectively collect electroencephalogram data and metabolic data, namely multi-path electroencephalogram signals and multi-path metabolic signals, which are respectively generated by the brain of the stimulation object on a plurality of test points. On the basis, the acquired multi-path electroencephalogram signals and multi-path metabolic signals can be respectively sent to a broad-spectrum near infrared recording module and an electroencephalogram recording module in the multi-mode data recording module.
In the embodiment of the application, control software is arranged in the broad-spectrum near infrared recording module. The control system can control the light source of the halogen tungsten lamp, the switch of the electric control shutter and the adjustment of the light stimulation parameters. In particular, a broad spectrum light source may be generated from a 50W tungsten halogen light source and 500 to 1000nm light filtered out via a filter module. And then the electric control shutter is used for controlling the interval release of the halogen tungsten lamp and the semiconductor pumping solid laser, the interval frequency and the duty ratio are defined by the software control module, the electric control shutter is used for blocking the light emitted by the halogen tungsten lamp from reaching a target area during intervention, and the light path is opened to release broad-spectrum near infrared light during recording of metabolic signals. The target stimulation area is covered by a central stimulation area and edge detection and receiving optodes, which are spaced 3cm apart. A 50W tungsten halogen light source produces a broad spectrum light source through a filter module and filters out 500 to 1000nm light. The CCD module converts the scattered and refracted broad-spectrum near-infrared light of the tissue, and the spectrum recorder samples and records the obtained emergent light signal intensity at intervals. Those skilled in the art will appreciate that the description is omitted herein.
After the original emergent light intensity is recorded, near infrared light with continuous wavelength of 700 to 900nm is selected, and the change of the original concentration of the CCO is calculated according to a corrected Lambert Law (Modified Beer-Lambert Law) calculation method. Those skilled in the art will appreciate that the description is omitted herein. It should be noted that while calculating the CCO concentration change, HBO can also be calculated 2 (oxyhemoglobin) and HHB (deoxyhemoglobin) content. On the basis, the concentration of CCO and HBO can be finally obtained 2 The content and the HHB content over time. Those skilled in the art will appreciate that the description is omitted herein.
In addition, within a first time window of transcranial optical stimulation, changes in electrocardiographic data of the stimulated subject over time may also be acquired. Specifically, the electrocardiograph of the subject can be recorded by an electrocardiograph recorder, and data such as heart rate, heart rate variability, P-wave, amplitude, PR interval and the like of the subject can be presented in real time.
In one embodiment of the present application, the plurality of brain electrical signals are continuously acquired within a first time window, the plurality of metabolic signals are acquired by optical imaging, and light irradiation corresponding to optical imaging and transcranial light stimulation are alternately performed within the first time window.
As shown in fig. 4, during the first time window, the electroencephalogram recording module may use a continuous recording manner to record in real time multiple paths of electroencephalogram signals (EEG signals) generated by the brain of the subject stimulated during the entire transcranial optical stimulation period, i.e. the EEG recording in fig. 4. In addition, the intervention of the broad-spectrum near-infrared recording module and transcranial optical stimulation may be performed in an alternating fashion. That is, during a first time window, the brain of the subject may be stimulated by transcranial light stimulation for a period of time, then the light stimulation is stopped, and the multichannel metabolic signal (CCO signal) that generates feedback after the brain of the subject has been stimulated by transcranial light stimulation for this period of time, i.e., the bbNIR record in the figure, is recorded in real time by the broad spectrum near infrared recording module. After the broad-spectrum near-infrared recording module collects the multipath metabolic signals in the period, the transcranial optical stimulation is carried out on the brain of the stimulated subject for the same duration by the transcranial optical stimulation, and the like until the total dose of the transcranial optical stimulation on the brain of the stimulated subject reaches the specified standard. The stimulation time for performing transcranial optical stimulation on the brain of the subject to be stimulated by transcranial optical stimulation may be set manually according to the actual situation, and is not limited herein.
In one embodiment of the present application, the light output to the brain of the subject by transcranial light stimulation is near infrared light within a preset line width range.
Because the line width of the laser spectrum generated by the LED or the laser diode light source is wider, photons with other wavelengths which are not targeted can play a role in inhibiting nerve reaction, and finally the intervention effect is influenced. Therefore, the line width of the laser output by the laser can be controlled to be +/-0.5 nm, and the output light quantum is ensured to not contain light quanta except the target wavelength. In the embodiment of the application, the line width of the laser output by transcranial optical stimulation can be controlled to be +/-0.5 nm, so that the output light quanta are ensured to not contain light quanta except the target wavelength. That is, in the embodiments of the present application, a light spot with a single wavelength, high uniformity, and controllable and tunable can be used as the light quantum output by transcranial optical stimulation.
Step S1100, one electroencephalogram signal corresponding to a preset stimulation target area in the multiple paths of electroencephalogram signals is extracted to serve as a first electroencephalogram signal, and one metabolic signal corresponding to the stimulation target area in the multiple paths of metabolic signals is extracted to serve as a first metabolic signal.
In the embodiment of the application, the multiple paths of electroencephalogram signals collected by the electroencephalogram-infrared integrated cap comprise multiple electrodes which are respectively collected in corresponding head areas, and the brain areas which generate strong stimulation response corresponding to each specific forehead stimulation target area are different in the process of performing transcranial light stimulation. For example, if the brain region corresponding to the selected forehead stimulation position is the occipital lobe, one path of electroencephalogram signal collected by the electrode on the electroencephalogram cap located in the occipital lobe region may be selected as the first electroencephalogram signal corresponding to the stimulation target region.
In an embodiment of the present application, the multiple metabolic signals collected by the electroencephalogram-infrared integrated cap in the above description include multiple metabolic signals collected by a plurality of electrodes included therein at a plurality of test locations of the brain of the stimulation subject during transcranial optical stimulation. The brain-stimulating device comprises a brain-stimulating device, a brain-stimulating device and a brain-stimulating device, wherein metabolic signals corresponding to different brain areas of a brain of a subject can be respectively collected by a plurality of electrodes on an electroencephalogram-infrared integrated cap. On the basis, one metabolic signal generated by the brain region corresponding to the stimulation target region can be extracted from the acquired multiple metabolic signals to serve as a first metabolic signal. Those skilled in the art will appreciate that the description is omitted herein.
Step S1200, performing a first preprocessing for setting the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and performing a second preprocessing for setting the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal.
In the embodiment of the application, after the multi-mode data recording module extracts the first electroencephalogram signal and the first metabolism signal from the multi-path electroencephalogram signal and the multi-path metabolism signal, the first electroencephalogram signal and the first metabolism signal which are originally acquired are required to be subjected to filtering, denoising and other processing, so that the first electroencephalogram signal can be subjected to first preprocessing, the first metabolism signal can be subjected to second preprocessing, and the second electroencephalogram signal and the second metabolism signal are respectively obtained.
In the embodiment of the present application, step S1200, performing a first preprocessing for setting a first electroencephalogram signal, to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and performing a second preprocessing for setting a first metabolic signal, to obtain a processed first generation Xie Xinhao as a second metabolic signal, includes steps S1210 to S1230. The specific contents are as follows:
step S1210, performing filtering processing on the first electroencephalogram signal according to the first electroencephalogram signal.
In an embodiment of the present application, the electroencephalogram recording module may record, amplify, and analyze a first brain computer electrical signal of a brain region corresponding to the stimulation target region in the multiple brain electrical signals. It should be noted that the analysis of the first electroencephalogram mainly includes pre-processing such as re-referencing, filtering and denoising of the first electroencephalogram, and segmentation and superposition analysis of event correlation analysis of superposition average in the time domain and segmentation and superposition analysis of energy of different frequency bands after time-frequency conversion in the frequency domain. As shown in B in fig. 5 below, the acquired first electroencephalogram signal is preprocessed, and first the collected data is subjected to FIR filtering on the EEG data, with high pass cut-off frequency of 0.1Hz, low pass cut-off frequency of 40Hz, and power frequency notch of 50Hz. If the data fragments of the channel exceed the threshold (+ -100 mu V), rejecting; if the number of bad channels is less than or equal to 3, adjacent channel data interpolation is used for replacement.
Step S1220, performing noise filtering on the processed first electroencephalogram signal to obtain a second electroencephalogram signal.
In the embodiment of the present application, after the filtering processing is performed on the first electroencephalogram signal, noise filtering may be further performed on the first electroencephalogram signal after the filtering processing, so as to obtain the second electroencephalogram signal. Specifically, 2 ICA components most relevant to horizontal and vertical Electrooculogram (EOG) can be removed from the first electroencephalogram signal after the filtering process to obtain a Clean EEG signal (Clean EEG signal). On this basis, as shown in C in fig. 5, a Time-frequency conversion (Time-frequency EEG) may be further performed on the clean EEG signal after denoising, and the frequency domain features may be extracted by analyzing the energy changes of each frequency band induced by the stimulus, and may include event-related synchronized ERS and event-related desynchronized ERD indexes. Those skilled in the art will appreciate that the description is omitted herein.
In step S1230, the first metabolic signal is filtered to obtain a second metabolic signal.
In embodiments of the present application, for the first metabolic signal extracted from the multiplexed metabolic signal, it may be FIR filtered, with a high pass cut to a frequency of 0.01Hz and a low pass cut to a frequency of 0.2Hz. It should be noted that if CCO and HBO 2 And if the number of bad channels is less than or equal to 3, using adjacent channel data interpolation to replace. Baseline was corrected for the previous 5s mean. Those skilled in the art will appreciate that the description is omitted herein.
Step S1300, coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value.
In the embodiment of the present application, after obtaining the preprocessed second electroencephalogram signal and the second metabolic signal, a synchronous EEG-NIRS analysis algorithm may be used to calculate the second electroencephalogram signal and the second metabolic signal, so as to obtain the transcranial optical stimulation parameter in the second time window. In the embodiment of the application, the coupling analysis can be performed on the preprocessed second electroencephalogram signal and the preprocessed second metabolic signal to calculate and obtain the electroencephalogram metabolic coupling value.
In the embodiment of the present application, step S1300, coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value, includes step S1310. The specific contents are as follows:
step S1310, coupling the second electroencephalogram signal and the second metabolic signal to obtain a coupling characteristic value between the second electroencephalogram signal and the second metabolic signal, and taking the maximum value of the coupling characteristic values as an electroencephalogram metabolic coupling characteristic value.
As shown at D in fig. 5, regression model analysis (GLM analysis) was performed on the EEG-based information using a standardized design matrix of stimuli and a single trial EEG index. Specifically, under the condition of light stimulus, according to the time point arrangement of stimulus, EEG indexes such as intensity matrix Etau) of indexes such as event related potential, spectrum energy value and the like under each condition and stimulus design matrix Stau) are focused, and the two sequences are subjected to Schmidt-Gram orthogonalization, namely Schmidt-Gran Orthogonalization.
As shown by E in fig. 5, two matrices eτ and sτ associated with Stimulus event onsets (nerve signal impulse generated after stimulation) and which have been orthogonalized, can be convolved with a typical Hemodynamic Response Function (HRF), i.e., convolution with HRF, respectively, to obtain two regression factors X that vary continuously 2 =e (τ) ×hrf and X 1 HRF, i.e. EEG-based regress and Standard regressors, so that a general linear model y=β can be constructed 1 X 1 +β 2 X 2 +ε 1 +ε 2 I.e. GLM model. On the basis, the coefficient beta before two regression factors in the model can be estimated by using a least square method 1 And beta 2 。
In the GLM model, y can be expressed as a desired value, i.e., a coupling characteristic value, of a dependent variable, and the strength of the coupling effect between the metabolic signal and the EEG features can be expressed by a regression coefficient (beta) before the variable containing EEG feature information 2 ) Expressed, ε 1 And epsilon 2 The error can be independent and distributed normally. As shown by F in fig. 5, can be defined by beta of multiple channels 2 The brain activation map generated by the values reflects the brain coupling effects of the EEG (Neurovascular Coupling). In short, the higher the coupling characteristic value in the brain coupling effect, the stronger the stimulation generated on the test point corresponding to the preset stimulation target area, and the better the stimulation effect of transcranial optical stimulation. For the coupling analysis between the second brain electrical signal and the second metabolic signal, the characteristics of the neuroblood oxygen coupling relationship can be provided, i.e. the complex neural activity under the intervention of the optical stimulus is provided with multi-directional assessment. In an embodiment of the present application, the second electroencephalogram signal and the second metabolic signal are obtained corresponding to different time points within the first time windowAfter the plurality of coupling eigenvalues of (a), a maximum value of the plurality of coupling eigenvalues may be selected as an electroencephalogram coupling eigenvalue. Those skilled in the art will appreciate that the description is omitted herein.
Step S1400, obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value.
In the embodiment of the application, according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value, the transcranial optical stimulation parameters corresponding to the stimulation object in the second time window can be obtained. That is, by evaluating the multi-modal brain activity, the laser intervention of the transcranial optical stimulation is evaluated and fed back according to the brain electrical signal, the metabolic signal and the brain electrical metabolic coupling characteristic value respectively, so as to obtain the transcranial optical stimulation parameters corresponding to the stimulation object.
In the embodiment of the present application, step S1400 obtains transcranial optical stimulation parameters corresponding to the stimulation object in the second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value, and includes steps S1410 to S1420. The specific contents are as follows:
step S1410, fitting the second brain electrical signal and the second metabolic signal with a preset standard light stimulus response curve to obtain a target light stimulus curve.
In the embodiment of the application, after the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value are obtained, according to the synchronous EEG-NIRS analysis algorithm, the recorded changes of the second electroencephalogram signal and the second metabolic signal can be subjected to fitting analysis with a preset general stimulation-response curve of transcranial optical stimulation. During the fitting process, the intervention intensity is increased if under-fitted and decreased if over-fitted. After fitting, a target light stimulus curve can be obtained. In embodiments of the present application, the target light stimulation profile may include a "stimulus-response" profile between light stimulation and a second brain electrical signal and a "stimulus-response" profile between light stimulation and a second metabolic signal. It should be noted that the general "stimulus-response" curve of transcranial optical stimulation in the above description may be a generic template preset according to experience or the superposition state of large population samples. Those skilled in the art will appreciate that the description is omitted herein.
Step S1420, obtaining transcranial optical stimulation parameters of the stimulation object matched with the brain metabolism coupling characteristic values in a second time window according to the target optical stimulation curve.
The biological response elicited by transcranial optical stimulation is complex, involving changes in the multi-modal signals and changes in the relationship to each other. On this basis, the changes in the multimodal brain signal can provide critical information for transcranial interventions. Specifically, after the recorded changes of the multi-modal brain signals and a general stimulation-response curve of the preset transcranial optical stimulation are subjected to fitting analysis, the transcranial optical stimulation parameters matched with the characteristic values of the cerebral metabolic coupling can be determined on the target optical stimulation curve by utilizing algorithms such as least square method identification, predictive control algorithm, network control theory model and the like. Specifically, according to the target light stimulation curve, the time point corresponding to the electroencephalogram metabolic coupling characteristic value can be used as the stimulation duration of transcranial light stimulation in the second window time. After determining the stimulation duration of the transcranial optical stimulation within the second window of time, the irradiance of the optical stimulation per unit area per unit time can be calculated according to the total dose of the transcranial optical stimulation within the specified safety range, and other methods can be used to calculate the stimulation parameters of other transcranial optical stimulation within the second window of time, without limitation.
It is further noted that the resulting transcranial optical stimulation parameters, such as irradiance and stimulation duration of the transcranial optical stimulation, all need to be kept within prescribed safety standards. In addition, in the process of calculating the transcranial optical stimulation parameters, the data of the heart rate, the heart rate variability, the P wave, the amplitude, the PR interval and the like of the stimulation object collected in the above description can be referred to ensure that other physiological indexes of the stimulation object can be always in a normal range under the condition of transcranial optical stimulation intervention of the brain of the stimulation object.
Step S1500, performing transcranial optical stimulation on the stimulation subject according to the transcranial optical stimulation parameters in a second time window.
In an embodiment of the present application, after the multi-mode brain signal in the first time window is calculated by the synchronous EEG-NIRS analysis algorithm and the transcranial optical stimulation parameters matched with the stimulated object are obtained, the transcranial optical stimulation parameters can be used as the stimulation parameters of transcranial optical stimulation in the second time window to perform transcranial optical stimulation intervention in the brain of the stimulated object.
According to the parameter determination method for transcranial optical stimulation, multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of a stimulated object in a first time window of transcranial optical stimulation are obtained; extracting one path of electroencephalogram signals corresponding to a preset stimulation target area from the multiple paths of electroencephalogram signals as a first electroencephalogram signal, and extracting one path of metabolic signals corresponding to the stimulation target area from the multiple paths of metabolic signals as a first metabolic signal; a first preprocessing for setting the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and a second preprocessing for setting the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal; coupling the second electroencephalogram signal with the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value; obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signals, the second metabolic signals and the electroencephalogram metabolic coupling characteristic values; wherein the second time window is located after the first time window; and performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in a second time window. By the mode, the stimulation parameters of the transcranial optical stimulation can be adjusted according to the brain electrical signals and the metabolic signals acquired under the transcranial optical stimulation, so that the accuracy of the transcranial optical stimulation is improved, and the stimulation effect of the transcranial optical stimulation is enhanced.
< System example >
In this embodiment, a parameter determination device 2000 for transcranial optical stimulation is also provided. As shown in fig. 6, the parameter determination apparatus 2000 of transcranial optical stimulation may include a data acquisition module 2100, a first processing module 2200, a second processing module 2300, a third processing module 2400, a step count calculation module 2500, and a fourth processing module 2600. Wherein:
a data acquisition module 2100 for acquiring multiple brain electrical signals and multiple metabolic signals generated by the brain of a subject in a first time window of transcranial optical stimulation;
the first processing module 2200 is configured to extract one electroencephalogram signal corresponding to a preset stimulation target area from the multiple electroencephalogram signals as a first electroencephalogram signal, and extract one metabolic signal corresponding to the stimulation target area from the multiple metabolic signals as a first metabolic signal;
the second processing module 2300 is configured to perform a first preprocessing for setting the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and perform a second preprocessing for setting the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal;
the third processing module 2400 is configured to couple the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value;
The parameter confirmation module 2500 is configured to obtain transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value; wherein the second time window is located after the first time window;
a fourth processing module 2600, configured to perform transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in a second time window.
According to the parameter determining device for transcranial optical stimulation, provided by the embodiment of the application, the stimulation parameters of transcranial optical stimulation can be adjusted according to the brain electrical signals and the metabolic signals acquired under transcranial optical stimulation, so that the accuracy of transcranial optical stimulation is improved, and the stimulation effect of transcranial optical stimulation is also enhanced.
It should be noted that although in the above detailed description several modules or units of a system for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, in accordance with the methods of implementation of the present application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
< device example >
In the present embodiment, an electronic apparatus 7000 is also provided. As shown in fig. 7, the electronic device 7000 may include a processor 7100 and a memory 7200, with computer instructions stored in the memory 7200, which when executed by the processor 7100 perform steps in the method of determining parameters of transcranial optical stimulation of any of the embodiments of the present disclosure.
< example of Medium >
In this embodiment, there is also provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement a method of determining parameters of transcranial optical stimulation as in any of the method embodiments of the present invention.
In this embodiment, there is also provided a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps in a method for determining parameters of transcranial optical stimulation as in any of the method embodiments of the present invention.
The present invention may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing the processor 1100 to implement aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed 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 case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.
Various aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor 1100 of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor 1100 of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.
The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims (10)
1. A method for determining parameters of transcranial optical stimulation, the method comprising:
acquiring multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of a stimulated subject in a first time window of transcranial optical stimulation;
extracting one path of electroencephalogram signals corresponding to a preset stimulation target area in the multiple paths of electroencephalogram signals as a first electroencephalogram signal, and extracting one path of metabolic signals corresponding to the stimulation target area in the multiple paths of metabolic signals as a first metabolic signal;
Performing first preprocessing on the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and performing second preprocessing on the first metabolic signal to obtain a processed first generation Xie Xinhao as a second metabolic signal;
coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value;
obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value; wherein the second time window is located after the first time window;
and performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in the second time window.
2. The method of claim 1, wherein the plurality of brain electrical signals are continuously acquired within the first time window, the plurality of metabolic signals are acquired by optical imaging, and light illumination corresponding to the optical imaging alternates with transcranial light stimulation within the first time window.
3. The method according to claims 1 to 2, wherein the light output from the transcranial optical stimulation to the brain of the subject of stimulation is near infrared light within a preset line width.
4. The method according to claim 1, wherein the performing the first preprocessing on the first electroencephalogram signal to obtain the processed first electroencephalogram signal as the second electroencephalogram signal includes:
according to the first electroencephalogram signal, filtering the first electroencephalogram signal;
noise filtering is carried out on the processed first electroencephalogram signals to obtain second electroencephalogram signals;
the second preprocessing for setting the first metabolic signal, to obtain the processed first generation Xie Xinhao as a second metabolic signal, includes:
and filtering the first metabolism signal to obtain the second metabolism signal.
5. The method according to claim 1, wherein the coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value includes:
and coupling the second electroencephalogram signal with the second metabolic signal to obtain a coupling characteristic value between the second electroencephalogram signal and the second metabolic signal, and taking the maximum value in the coupling characteristic value as the electroencephalogram metabolic coupling characteristic value.
6. The method according to claim 1, wherein the obtaining the transcranial optical stimulation parameters corresponding to the stimulated subject in the second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value includes:
Fitting the second brain electrical signal and the second metabolic signal with a preset standard light stimulation response curve to obtain a target light stimulation curve;
and obtaining the transcranial optical stimulation parameters of the stimulation object matched with the electroencephalogram metabolic coupling characteristic values in a second time window according to the target optical stimulation curve.
7. The method of claim 6, wherein the transcranial optical stimulation parameters include stimulation duration and irradiance of the transcranial optical stimulation.
8. A transcranial optical stimulation parameter determination device, comprising:
the data acquisition module is used for acquiring multiple paths of brain electrical signals and multiple paths of metabolic signals generated by the brain of the stimulation object in a first time window of transcranial optical stimulation;
the first processing module is used for extracting one path of electroencephalogram signals corresponding to a preset stimulation target area in the plurality of paths of electroencephalogram signals to serve as first electroencephalogram signals, and extracting one path of metabolic signals corresponding to the stimulation target area in the plurality of paths of metabolic signals to serve as first metabolic signals;
the second processing module is used for performing first preprocessing on the first electroencephalogram signal to obtain a processed first electroencephalogram signal as a second electroencephalogram signal, and performing second preprocessing on the first metabolism signal to obtain a processed first generation Xie Xinhao as a second metabolism signal;
The third processing module is used for coupling the second electroencephalogram signal and the second metabolic signal to obtain an electroencephalogram metabolic coupling characteristic value;
the parameter confirmation module is used for obtaining transcranial optical stimulation parameters corresponding to the stimulation object in a second time window according to the second electroencephalogram signal, the second metabolic signal and the electroencephalogram metabolic coupling characteristic value; wherein the second time window is located after the first time window;
and the fourth processing module is used for performing transcranial optical stimulation on the stimulation object according to the transcranial optical stimulation parameters in the second time window.
9. An electronic device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method of determining parameters of transcranial optical stimulation according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements the steps of the method for determining parameters of transcranial optical stimulation according to any one of claims 1-7.
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