CN-121987962-A - Visual stabilization method and system based on binocular modulation difference

Abstract

The invention discloses a visual stabilization method based on binocular modulation difference, which particularly relates to the technical field of biomedical engineering, and comprises the following steps: S1, collecting binocular nerve signal transmission delay data, setting a time difference threshold value of visual stability adaptation, establishing an association relation between a near infrared light parameter and a transmission speed, screening a binocular near infrared light parameter combination, and calibrating a delay parameter by S5 two-way driving. According to the invention, a time difference threshold interval is set by combining a visual phase difference physiological adaptation range, a near infrared light parameter and nerve conduction speed association relation is established, parameter setting is deeply integrated through binocular nerve conduction delay data and cortical neuron response time sequence data, the adaptation of parameters and nerve physiological states is enhanced, the cooperative precision of binocular near infrared light modulation parameters is improved, the precise matching of a two-way driving signal time sequence and a nerve regulation target required by visual stability is ensured, and the problem of poor visual regulation effect caused by parameter setting deviation is reduced.

Inventors

• ZHUO KAI

Assignees

• 卓凯

Dates

Publication Date

20260508

Application Date

20260119

Claims (8)

1. 1. A visual stabilization method based on binocular modulation difference, characterized by comprising the following steps: s1, collecting binocular nerve signal transmission delay data, namely collecting retina-external knee-cortex channel signals, detecting the whole-course time of left and right ocular optic nerve transmission, and calculating the difference value of the signals to obtain a binocular nerve transmission delay time difference value; S2, setting a time difference threshold value of visual stability adaptation, namely calling a visual phase difference physiological adaptation range, and converting the visual phase difference physiological adaptation range into the upper limit and the lower limit of the time difference of reaching the cortex of the binocular nerve signal to obtain a binocular conduction time difference threshold value interval; S3, establishing an association relation between near infrared light parameters and transmission speeds, namely regulating and controlling near infrared light frequency and duty ratio single parameters, detecting left and right eye nerve transmission speed changes, and calculating the association relation between the parameters and the transmission speed changes to obtain a near infrared light parameter-nerve transmission speed association data set; S4, screening the near infrared light parameter combinations of the two eyes, namely, listing near infrared light candidate parameter combinations of the left eye and the right eye, calling a precursor result to calculate time difference, and comparing a threshold interval to remove unqualified combinations to obtain an adaptive near infrared light parameter combination set; and S5, calibrating the dual-path driving delay parameters, namely outputting driving signals based on the adaptive parameters, collecting cortical neuron excitation time points, calculating difference values, and comparing target range adjustment parameters to obtain the calibrated dual-path driving delay parameters.
2. 2. The visual stabilization method based on binocular modulation difference according to claim 1 is characterized in that the binocular nerve conduction delay time difference is specifically a left eye nerve conduction delay time, a right eye nerve conduction delay time and a left and right eye conduction delay time difference, the binocular conduction time difference threshold interval comprises a time difference upper limit value and a time difference lower limit value, the near infrared light parameter-nerve conduction speed association data set comprises a near infrared light frequency parameter variation amount, a near infrared light duty cycle parameter variation amount, a left eye nerve conduction speed variation amount, a right eye nerve conduction speed variation amount and corresponding relation data of parameters and conduction speed variation, the adaptive near infrared light parameter combination set comprises a left eye adaptive near infrared light frequency parameter, a left eye adaptive near infrared light duty cycle parameter, a right eye adaptive near infrared light frequency parameter and a right eye adaptive near infrared light duty cycle parameter, and the calibrated two-way driving delay parameter is specifically a left eye driving delay parameter and a right eye driving delay parameter.
3. 3. The method for visual stabilization based on binocular modulation difference of claim 1, wherein the S1, binocular nerve signal transmission delay data acquisition comprises the following substeps: s1a, collecting retina-external knee-cortex channel signals, detecting left eye visual nerve conduction whole time, detecting right eye visual nerve conduction whole time, and obtaining left and right eye visual nerve conduction time data; And S1b, calculating the difference value between the left eye visual nerve conduction whole-course time and the right eye visual nerve conduction whole-course time based on the left eye visual nerve conduction time data and the right eye visual nerve conduction whole-course time, and obtaining the difference value of the binocular nerve conduction delay time.
4. 4. The method for visual stabilization based on binocular modulation difference of claim 3, wherein the S2, visual stabilization adapted time difference threshold setting comprises the sub-steps of: S2a, calling a visual phase difference physiological adaptation range, and acquiring a visual phase difference upper limit value and a visual phase difference lower limit value to obtain visual phase difference physiological adaptation boundary data; S2b, calculating a time value of reaching the cortex of the binocular nerve signal corresponding to the upper limit value of the visual phase difference based on the physiological adaptation boundary data of the visual phase difference to obtain the upper limit value of the time of reaching the cortex of the binocular nerve signal; And S2c, calculating a binocular nerve signal reaching cortex time value corresponding to the lower limit value of the visual phase difference based on the physiological adaptation boundary data of the visual phase difference, and integrating the upper limit value and the lower limit value of the binocular nerve signal reaching cortex time to obtain a binocular conduction time difference value interval.
5. 5. The method for visual stabilization based on binocular modulation difference of claim 4, wherein the correlation between the S3, near infrared light parameters and the conduction velocity comprises the following sub-steps: S3a, regulating and controlling the frequency and the duty ratio single parameter of near infrared light, fixing another parameter, detecting the nerve conduction speed variation quantity of the left eye, and detecting the nerve conduction speed variation quantity of the right eye to obtain nerve conduction speed variation data under the regulation and control of the near infrared light parameter; And S3b, calculating the corresponding relation between the near infrared frequency parameter and the conduction velocity variation based on the nerve conduction velocity variation data under the regulation and control of the near infrared parameter, calculating the corresponding relation between the near infrared duty ratio parameter and the conduction velocity variation, and integrating the two corresponding relation data to obtain a near infrared parameter-nerve conduction velocity association data set.
6. 6. The method for visual stabilization based on binocular modulation difference of claim 5, wherein the S4, binocular near infrared light parameter combination screening comprises the following sub-steps: s4a, listing left-eye near-infrared light frequency candidate parameters, listing left-eye near-infrared light duty cycle candidate parameters, listing right-eye near-infrared light frequency candidate parameters, and listing right-eye near-infrared light duty cycle candidate parameters to obtain a binocular near-infrared light parameter candidate set; S4b, based on the two-eye near-infrared light parameter candidate set, calling a near-infrared light parameter-nerve conduction speed correlation data set and two-eye nerve conduction delay time difference values, and calculating left and right eye nerve conduction time difference corresponding to each group of candidate parameter combinations to obtain candidate parameter combination time difference values; And S4c, calling a binocular conduction time difference value interval, comparing the candidate parameter combination time difference value with a binocular conduction time difference threshold value interval, and removing parameter combinations exceeding the threshold value interval to obtain an adaptive near infrared light parameter combination set.
7. 7. The method for visual stabilization based on binocular modulation difference of claim 6, wherein the S5, two-way driving delay parameter calibration comprises the sub-steps of: S5a, outputting a two-way driving signal based on the adaptive near infrared light parameter combination set, performing real-time accurate frequency modulation calibration on the frequency of the output signal, collecting the excitation time point of the left eye of the cortical neuron, collecting the excitation time point of the right eye of the cortical neuron, and calculating the difference value of the two time points to obtain the excitation time difference value of the cortical neuron; S5b, calling a neuron excitation time sequence difference target range required by establishing visual stabilization eye advantages, comparing the cortical neuron excitation time difference value with the target range, judging whether the difference value falls into the target range, and if not, adjusting the two-way drive delay parameter and repeating the acquisition operation to obtain the calibrated two-way drive delay parameter.
8. 8. A binocular modulation difference-based visual stabilization system, comprising the following modules: The binocular nerve conduction delay data acquisition module is responsible for acquiring and calculating binocular nerve conduction delay data, synchronously capturing binocular retina-cortex channel signals by adopting a non-invasive high-density microelectrode array, extracting signal time sequences at a preset sampling frequency, recording left and right eye conduction delay time, calculating a difference value and outputting basic data; The visual stability time difference threshold adaptation module is used for establishing a visual stability time difference threshold interval, calling pre-stored visual phase difference physiological data, combining parameters such as nerve conduction speed, path length and the like, converting the phase difference interval into a time difference threshold for the binocular nerve signals to reach the cortex, and taking the time difference threshold as a parameter screening standard; The near infrared light parameter-conduction speed association modeling module is used for constructing a near infrared light parameter and conduction speed association data set, detecting the change of the conduction speed of two eyes through single parameter gradient regulation and control, quantifying the accurate corresponding relation between frequency and speed based on continuous parameter data obtained through accurate frequency modulation, and generating an association data model; The binocular near infrared light parameter combination screening module screens the adaptive near infrared light parameter combination to generate binocular parameter candidate combinations, calculates and compares delay differences corresponding to the combinations by combining the preamble delay difference value and the time difference threshold value, eliminates invalid combinations and outputs an adaptive parameter set; the dual-path driving delay parameter calibration module is used for calibrating dual-path driving delay parameters, outputting dual-path driving signals based on the adaptive parameters, detecting the excitation time sequence difference of cortical neurons, comparing the excitation time sequence difference with a target range, and adjusting the parameters to meet the requirements to realize accurate regulation; the central cooperative control and communication module comprises a system core cooperative unit, a built-in power supply and heat dissipation management, wherein the system core cooperative unit is used for integrating time sequence and data interaction of each module, integrating individual parameter optimization and wireless communication functions, receiving external configuration and feeding back a state.

Description

Visual stabilization method and system based on binocular modulation difference Technical Field The invention relates to the technical field of biomedical engineering, in particular to a visual stabilization method and system based on binocular modulation difference. Background The biomedical technical field comprises various directions of researching organism structural functions and disease mechanisms by utilizing biomedical principles and technical means and developing physiological and pathological process intervention technologies and related products, and the core relates to diagnosis of organism physiological functions, detection and processing of intervention biological signals and the like, covers subdivision fields of development of basic medical research clinical medical technology, research and development of biomedical equipment and the like, and realizes accurate regulation and control of organism physiological states through technical innovation so as to solve health related problems. The visual stabilization method based on the binocular modulation difference refers to a technical method for realizing visual stabilization by applying specific modulation difference stimulus to the eyes. The technical matters aimed at by the patent theme cover the process of setting and projecting near infrared light pulse modulation parameters and regulating and controlling vision stability related nerves, and the specific means comprise that near infrared light is selected as a stimulation light source and modulated into a specific space mode, two paths of pulse signals with adjustable phase difference are generated to drive left and right eyes to output, frequency phase difference and duty ratio parameters are set, so that light pulses reach retina through pupil and are received by photosensitive pigment, and signals are conducted through specific nerve paths to modulate primary vision cortex neuron activities. In the prior art, in the visual stability regulation and control based on binocular modulation difference, parameter setting and calibration lack of effective utilization of binocular nerve conduction delay and cortical neuron response time sequence data, a two-way pulse signal is generated only by means of preset fixed frequency, phase difference and duty ratio parameters, and dynamic association of parameters and nerve conduction states is not established. The mode is difficult to adapt to the nerve conduction difference of the two eyes of different individuals, the time sequence synergy of the two-way driving signals can not be accurately matched with the vision stability physiological requirement, the problems of visual fatigue or instability and the like are easily caused, and the accuracy and the applicability of the vision stability regulation are limited. Disclosure of Invention The invention mainly aims to provide a visual stabilization method and a visual stabilization system based on binocular modulation difference, which can effectively solve the problems in the background art. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: A visual stabilization method based on binocular modulation differences, comprising the steps of: s1, collecting binocular nerve signal transmission delay data, namely collecting retina-external knee-cortex channel signals, detecting the whole-course time of left and right ocular optic nerve transmission, and calculating the difference value of the signals to obtain a binocular nerve transmission delay time difference value; S2, setting a time difference threshold value of visual stability adaptation, namely calling a visual phase difference physiological adaptation range, and converting the visual phase difference physiological adaptation range into the upper limit and the lower limit of the time difference of reaching the cortex of the binocular nerve signal to obtain a binocular conduction time difference threshold value interval; S3, establishing an association relation between near infrared light parameters and transmission speeds, namely regulating and controlling near infrared light frequency and duty ratio single parameters, detecting left and right eye nerve transmission speed changes, and calculating the association relation between the parameters and the transmission speed changes to obtain a near infrared light parameter-nerve transmission speed association data set; S4, screening the near infrared light parameter combinations of the two eyes, namely, listing near infrared light candidate parameter combinations of the left eye and the right eye, calling a precursor result to calculate time difference, and comparing a threshold interval to remove unqualified combinations to obtain an adaptive near infrared light parameter combination set; and S5, calibrating the dual-path driving delay parameters, namely outputting driving signals based on the adaptive parameters, collecting cortical neuron excitation time