CN-122004905-A - Target object data acquisition system based on photoacoustic magnetic vibration wave resonance

CN122004905ACN 122004905 ACN122004905 ACN 122004905ACN-122004905-A

Abstract

The invention relates to the field of multi-mode resonance, in particular to a target object data acquisition system based on photoacoustic magnetic vibration wave resonance, which comprises a data acquisition module, a neural response relation generation module, a mismatch result generation module, a differential compensation control parameter set generation module and a multi-mode collaborative stimulation output module, wherein the data acquisition module is used for acquiring neural response data of a target object when receiving single stimulation, the neural response relation generation module is used for acquiring the neural response relation of the photoacoustic magnetic vibration wave stimulation, the mismatch result generation module is used for calculating a mismatch component of starting time, a mismatch component of stimulation intensity and a continuous coverage mismatch component of the photoacoustic magnetic vibration wave stimulation to form a mismatch result of the photoacoustic magnetic vibration wave stimulation, the differential compensation control parameter set generation module is used for generating differential compensation control parameter set, and the multi-mode collaborative stimulation output module is used for carrying out collaborative control on the optical stimulation, the acoustic stimulation, the magnetic stimulation and the mechanical vibration stimulation to form the photoacoustic magnetic vibration wave resonance stimulation. The system realizes effective resonance of different stimuli, and enhances the collaborative perceptibility and neural response stability of a target object to multi-modal stimuli.

Inventors

WANG YING
LIU SHUPENG
ZHAO BAOKU
SHAN CHUNLEI
JIANG YAN
JIANG JIANGUO
HUANG ZHIHUI

Assignees

浙江思智科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (10)

1. A target object data acquisition system based on photoacoustic magnetic vibration wave resonance, the system comprising: The data acquisition module is used for acquiring nerve response data of the target object when receiving single stimulus, wherein the single stimulus comprises optical stimulus, acoustic stimulus, magnetic stimulus and mechanical vibration stimulus; the nerve response relation generation module is used for integrating the mapping relation of the stimulation time and the stimulation intensity and the stimulation parameter coupling relation according to the nerve response data to generate a nerve response relation set stimulated by the photoacoustic magnetic vibration wave; The mismatch result generation module is used for calculating a start time mismatch component, a stimulus intensity mismatch component and a continuous coverage mismatch component of the photoacoustic magnetic vibration wave stimulus according to the nerve response relation set and a preset target value, and integrating the obtained mismatch components to form a mismatch result of the photoacoustic magnetic vibration wave stimulus, wherein the preset target value comprises preset target time, target stimulus intensity and target coverage time; the differential compensation control parameter set generation module is used for outputting a differential compensation control parameter set stimulated by the photoacoustic magnetic vibration wave through a mismatch compensation strategy generation algorithm according to the mismatch result; and the multi-mode collaborative stimulation output module is used for carrying out collaborative control on the photoacoustic magnetic vibration wave stimulation according to the differential compensation control parameter set to form photoacoustic magnetic vibration wave resonance stimulation.
2. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 1, wherein the data acquisition module comprises: The multi-mode stimulation control unit is used for independently controlling the multi-mode stimulation to enable each stimulation to act on the target object in a single stimulation mode; The nerve response acquisition unit is used for acquiring nerve response signals generated when the target object receives single stimulus; The signal preprocessing unit is used for preprocessing the data of the nerve response signals, wherein the data preprocessing comprises integrity check sum filtering processing; and the data storage unit is used for storing the preprocessed nerve response signals according to a preset data structure to obtain nerve response data.
3. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 1, wherein the neural response relationship generating module comprises: The time-associated mapping unit is used for acquiring nerve response time of the target object when receiving the optical stimulus, the acoustic stimulus, the magnetic stimulus and the mechanical vibration stimulus according to the nerve response data, recording corresponding stimulus emission time stamps, and constructing a mapping relation between the stimulus emission time and the nerve response time; The energy-intensity mapping unit is used for carrying out amplitude analysis on the nerve response data, converting the nerve response data into response intensity data, recording input energy parameters corresponding to the stimulus, and constructing a mapping relation between the stimulus input energy and the nerve response intensity; The multimode coupling extraction unit is used for extracting time coupling parameters, intensity coupling parameters and directivity parameters of the photoacoustic magnetic vibration wave stimulation according to the nerve response data to form a coupling relation set between the photoacoustic magnetic vibration wave stimulation; and the relation integrating unit is used for generating a nerve response relation set stimulated by the photoacoustic magnetic vibration wave according to the mapping relation between the stimulus emission time and the nerve response time, the mapping relation between the stimulus input energy and the nerve response intensity and the coupling relation set.
4. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 1, wherein the mismatch result generation module comprises: A start time mismatch calculation unit for calculating a time offset by identifying a phase start point of transition from a resting state to an activated state of the nerve, and outputting a start time mismatch component in combination with a preset target time; The stimulation intensity mismatch calculation unit is used for constructing an individual local absorption energy potential well model, generating a multidimensional coupling potential field by combining the coupling relation between the photoacoustic magnetic vibration wave stimulation, calculating the deviation degree of the equivalent action intensity and the preset target stimulation intensity in the coupling state, and outputting a stimulation intensity mismatch component; the continuous coverage mismatching calculation unit is used for calculating coverage deviation of the nerve state occupation distribution and the preset target coverage time and outputting a continuous coverage mismatching component; And the mismatch result integration unit is used for integrating the initiation time mismatch component, the stimulation intensity mismatch component and the continuous coverage mismatch component into a mismatch result.
5. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 4, wherein the starting time mismatch component obtaining process comprises: Calculating and marking propagation time of the photoacoustic magnetic vibration wave stimulation signal in a nerve path through a time sequence back-pushing algorithm according to the nerve response relation set to obtain an equivalent arrival time mark set; Extracting corresponding nerve response data according to the equivalent arrival time stamp set, performing time-frequency analysis on the nerve response data, extracting instantaneous phase change characteristics of the nerve response data, identifying a phase starting point of transition from a resting state to an activated state of the nerve through a phase detection algorithm, and marking the phase starting point to obtain a nerve effect phase parameter; According to the neural response phase parameter and the preset target time, calculating the time offset of the neural response through a nonlinear time inversion strategy to obtain a starting time mismatch component.
6. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 4 wherein the process of calculating the stimulus intensity mismatch component comprises: According to the stimulation input energy and nerve response intensity of a target object when receiving the stimulation of the photoacoustic magnetic vibration wave, calculating the effective absorption proportion and attenuation proportion of the stimulation energy, and constructing an individual local absorption energy potential well model by taking the type of the received stimulation as the dimension; extracting a local absorption potential well parameter set of the photoacoustic magnetic vibration wave stimulation according to the individual local absorption energy potential well model, and calculating the energy distribution state of the photoacoustic magnetic vibration wave stimulation superposition according to the coupling relation between the local absorption potential well parameter set and the photoacoustic magnetic vibration wave stimulation to form a multidimensional coupling potential field; according to the multidimensional coupling potential field, calculating the equivalent action intensity of the photoacoustic magnetic vibration wave stimulation in the coupling state through an effective energy calculation algorithm, and calculating the deviation degree of the equivalent action intensity and the preset target stimulation intensity to obtain the stimulation intensity mismatch component.
7. The target object data acquisition system based on photoacoustic magnetic vibration wave resonance of claim 4, wherein the calculation process of the continuous coverage mismatch component of the photoacoustic magnetic vibration wave stimulus comprises: Sectioning nerve response data of a target object when receiving the stimulation of the photoacoustic magnetic vibration wave to obtain a nerve response subinterval, labeling a nerve activation stage, a response attenuation stage and a recovery stage in the nerve response subinterval, counting duration and time occupation proportion of the three stages in the stimulation action time, and constructing a nerve state occupation model; Performing translation correction on the stimulation starting time according to the starting time mismatching component, mapping the stimulation intensity mismatching component into a coverage weight adjusting factor, and weighting a nerve state occupation model according to the coverage weight adjusting factor to obtain weighted nerve state occupation distribution; And calculating coverage deviation in a nerve activation stage, a response attenuation stage and a recovery stage according to the weighted nerve state occupation distribution and preset target coverage time, and obtaining a continuous coverage mismatching component.
8. The target object data acquisition system based on photoacoustic magnetic vibration wave resonance according to claim 4, wherein the forming process of the mismatch result of photoacoustic magnetic vibration wave stimulation comprises: Mapping the starting time mismatch component, the stimulation intensity mismatch component and the continuous coverage mismatch component to the same stimulation period, performing time axis alignment on each mismatch component, constructing a multidimensional mismatch component set, and performing normalization processing on the multidimensional mismatch component set to obtain a comparable mismatch component set; According to the nerve response relation set, the influence degree of the starting time mismatch component, the stimulation intensity mismatch component and the continuous coverage mismatch component on the nerve response of the target object is calculated respectively, and weight parameters are set for each mismatch component according to the influence degree; and weighting the comparable mismatch component set according to the weight parameter to obtain a mismatch result which is used as the photoacoustic magnetic vibration wave stimulation by the joint mismatch characterization.
9. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 1, wherein the differential compensation control parameter set generation module comprises: the compensation path mapping unit is used for mapping the mismatch component in the mismatch result to a corresponding compensation path according to a nerve action mechanism, wherein the starting time mismatch component is mapped to a time sequence control parameter adjustment channel, the stimulation intensity mismatch component is mapped to an energy output parameter adjustment channel, and the continuous coverage mismatch component is mapped to a stimulation duration time occupation proportion adjustment channel; The compensation parameter calculation unit is used for carrying out nonlinear adjustment on the initial control parameters of the neural response relation set in each compensation path through a nonlinear compensation mapping rule to generate a differential compensation control parameter set; and the parameter verification unit is used for carrying out variation amplitude constraint and cross-channel consistency verification and safety threshold detection on the differential compensation control parameter set to obtain a standard differential compensation control parameter set for the photoacoustic magnetic vibration wave stimulation.
10. The photoacoustic magnetic vibration wave resonance-based target object data acquisition system of claim 1, wherein the multi-modal collaborative stimulation output module comprises a stimulation timing coordination unit for performing timing alignment and phase fine adjustment of output start moments of the optical stimulation, the acoustic stimulation, the magnetic stimulation and the mechanical vibration stimulation according to the start time compensation parameters in the differential compensation control parameter set so that the respective stimulation arrive in collaboration at the target neural node; the stimulation intensity control unit is used for independently adjusting or linkage adjusting the output intensities of the optical stimulation, the acoustic stimulation, the magnetic stimulation and the mechanical vibration stimulation according to the stimulation intensity compensation parameters in the differential compensation control parameter set; And the continuous coverage control unit is used for controlling the duration time, the action rhythm and the occupation proportion of the optical stimulus, the acoustic stimulus, the magnetic stimulus and the mechanical vibration stimulus according to the continuous coverage compensation parameters in the differential compensation control parameter set.

Description

Target object data acquisition system based on photoacoustic magnetic vibration wave resonance Technical Field The invention relates to the field of multi-mode resonance, in particular to a target object data acquisition system based on photoacoustic magnetic vibration wave resonance. Background The information processing process of the target object nervous system involves the synergic action of a plurality of brain areas, a plurality of nerve pathways and a plurality of time scales, the operation mechanism is complex, and different sensory channels often have obvious differences in the processes of information receiving, transmitting and integrating. Research shows that in the processing process of multi-sense information, the neural response of a target object to different physical stimuli such as sound, touch, vision and the like may show excessive or insufficient phenomena, and the neural signals between different sense channels have inconsistency in time alignment and collaborative integration, so that the overall processing efficiency of the information is affected. The existing neural information regulation and multi-mode stimulation technology mainly comprises a regulation mode based on behavior training or environment guidance, a stimulation training mode based on sensory integration and a technical scheme based on physical stimulation or neural regulation. The sensory integrated stimulus training mode applies stimulus to sensory channels such as touch sense, vestibular sense, proprioception, auditory sense or vision to adjust the response level of a nervous system to various sensory information, and the adjustment mode is implemented by a plurality of fixed instruments or preset stimulus environments so as to enhance the perception and processing capacity of multichannel information. With the development of the related art, a physical stimulation or nerve control based manner is gradually introduced, for example, electrical stimulation, magnetic stimulation, optical stimulation or acoustic stimulation is utilized to perform non-invasive adjustment on the state of neural activity, and the influence on the state of the nervous system is achieved by setting stimulation parameters. However, existing multimodal stimulation and neuromodulation techniques still have certain limitations. Firstly, most of the existing methods carry out parameter setting from a stimulation output end, and the difference of different sensory channels on a nerve information processing mechanism cannot be fully considered, so that the effect time, response intensity and action duration characteristics of different physical stimulations on a nerve layer are difficult to carry out fine regulation and control. Secondly, when the nerve signals are transmitted through different sensing channels, the transmission speed, response delay and nerve time window width of the nerve signals are different, so that the difficulty of realizing cooperative arrival and effective integration of the multi-mode stimulation on the nerve layer is high. In addition, in the prior art, a multi-mode stimulation mode of synchronous output or fixed sequence is generally adopted, and the time difference that different stimulations actually arrive and are integrated in the nervous system is not fully considered, so that the stimulation dislocation of the nervous layer is easily caused, and the effective superposition of multiple stimulations which should be synergistic originally is difficult to form, and even the unstable or conflict phenomenon of the nervous response is possibly caused. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a target object data acquisition system based on photoacoustic magnetic vibration wave resonance, which can finely regulate and control the output time sequence, the intensity and the duration of different physical stimuli according to the characteristic that the target object multi-sensory nerve response has time mismatch, so that the different stimuli are effectively synchronized or resonated at the nerve layer, thereby improving the integration efficiency of multi-sensory information, and enhancing the collaborative perceptibility and the nerve response stability of the target object to multi-mode stimuli. In order to achieve the above purpose, the invention adopts the following technical scheme: The system comprises a data acquisition module, a neural response relation generation module, a mismatch result generation module, a differential compensation control parameter set generation module and a multi-mode collaborative stimulation output module; The data acquisition module is used for acquiring nerve response data of the target object when receiving single stimulus, wherein the single stimulus comprises optical stimulus, acoustic stimulus, magnetic stimulus and mechanical vibration stimulus; the nerve response relation generation module is used for integrating the mapping relation