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CN-121987168-A - Forehead flexible sensing method and forehead flexible sensing system

CN121987168ACN 121987168 ACN121987168 ACN 121987168ACN-121987168-A

Abstract

The invention discloses a forehead flexible sensing method and a forehead flexible sensing system, which relate to the technical field of flexible sensing and comprise the following steps of S1, acquiring micro-environment sensing data, S2, generating an original data frame, S3, classifying the cause of an invalid frame of the original data frame, S4, distinguishing an effective frame from an invalid frame, S5, executing screening-mining linkage directional re-mining and parameter correction on the judged invalid frame, and S6, dynamically adjusting regulation parameters. According to the invention, through multidimensional microenvironment sensing classification, invalid frame incentive classification screening and threshold weighting dynamic linkage fine adjustment, and combined with a screening-acquisition linkage directional re-acquisition mode, microenvironment dynamic change characteristics such as skin sweat secretion, environment temperature and humidity conduction, conductance, temperature, contact impedance and the like caused by head actions in the wearing process can be captured, and the adaptive acquisition parameters are dynamically matched according to the actual classification result of the microenvironment, so that the problem of gradient distortion of core physiological signals such as electroencephalogram, PPG and the like caused by microenvironment change is avoided.

Inventors

  • WU ZHILI
  • QIAO DING
  • DU WEICHONG

Assignees

  • 优盛科技(苏州)有限公司

Dates

Publication Date
20260508
Application Date
20260319

Claims (10)

  1. 1. A forehead flexibility sensing method, comprising the steps of: S1, performing multidimensional sensing on forehead skin microenvironment by using a forehead flexible sensing unit to obtain microenvironment sensing data; S2, quantitatively classifying the microenvironment sensing data, and matching corresponding basic acquisition parameters according to classification results to drive a multi-mode sensor array to acquire forehead multi-mode physiological signals so as to generate an original data frame; s3, performing invalid frame incentive classification on the original data frame, and performing dynamic linkage fine adjustment on preset basic thresholds for discriminating various invalid frames based on micro-environment quantitative classification results to obtain discrimination thresholds after fine adjustment; S4, screening and judging the original data frames by adopting a fine-tuned screening threshold value, and distinguishing effective frames from invalid frames; S5, performing screening-mining linkage directional re-mining and parameter correction on the judged invalid frames, performing light-weight data marking on the judged valid frames and the re-mined valid frames, and outputting the marked valid data frames to a data fusion and intelligent decision unit; S6, the data fusion and intelligent decision unit performs fusion analysis on the marked effective data frames, matches the corresponding self-adaptive regulation and control mode, dynamically optimizes regulation and control parameters, drives the self-adaptive regulation and control unit to execute self-adaptive regulation and control operation, and the regulated physiological signals reenter the micro-environment sensing flow of the step S1 and sequentially pass through micro-environment quantization classification, invalid frame screening and effective frame marking of the steps S2 to S5, and the data fusion and intelligent decision unit analyzes regulation and control effects according to the re-screened effective signals and dynamically adjusts the regulation and control parameters.
  2. 2. The forehead flexible sensing method according to claim 1, wherein in step S1, the multi-dimensional sensing of the forehead skin microenvironment is based on an original MEMS temperature sensor, a piezoelectric film sensor and a contact impedance detection module in the forehead flexible sensing unit, and temperature dimension data, conductance dimension data and contact impedance dimension data are synchronously collected, the temperature dimension data include forehead skin real-time temperature and temperature change rate, the conductance dimension data reflect forehead skin sweat micro-urinary state, and the contact impedance dimension data is average contact impedance of a gold-plated dry electrode on a flexible electrode disk.
  3. 3. The forehead flexibility sensing method according to claim 1, wherein in step S2, the micro-environment sensing data is quantitatively classified, specifically including: Dividing the microenvironment into three grades, namely a normal grade, a slight change grade and a moderate change grade according to a prefabricated microenvironment grading threshold value table, wherein the microenvironment grading threshold value table is the corresponding relation of the temperature change rate, the conductance dimension data, the average contact impedance and the microenvironment grade, which are obtained through an industrialized static calibration experiment; The method specifically comprises the steps of respectively prefabricating the matched 1 grade, 2 grade and 3 grade acquisition parameters for a normal grade, a slight change grade and a moderate change grade according to grading results, wherein each grade acquisition parameter is respectively set for an electroencephalogram dry electrode, a PPG sensor and a piezoelectric blood pressure sensor and comprises one or more of excitation current, sampling gain, light intensity, integration time and sampling frequency of the sensor.
  4. 4. The forehead flexible sensing method according to claim 1, wherein in step S3, the invalid frame causes are classified into three types of invalid data frames, namely an environment interference type, an action interference type and a contact micro-fault type, and the preset base threshold value for discriminating each type of invalid frame is a multi-mode sensor signal characteristic judging threshold value corresponding to each type of invalid frame, which is obtained through an industrialized static calibration experiment, and the signal characteristic comprises one or more of amplitude, fluctuation range and change rate; The discrimination base threshold values of various invalid frames are in one-to-one correspondence with sensor signals, the environment interference type corresponds to PPG light intensity fluctuation and brain electrical high frequency noise characteristic threshold values, the action interference type corresponds to blood pressure signal instantaneous mutation and PPG signal interruption characteristic threshold values, and the contact micro-fault type corresponds to single electrode impedance mutation and brain electrical signal amplitude suddenly-falling characteristic threshold values.
  5. 5. The forehead flexible sensing method according to claim 1, wherein in step S3, dynamic linkage fine adjustment is performed on a preset basic threshold value for discriminating various types of invalid frames based on a micro-environment quantization and classification result, and specifically includes: Loading a micro-environment dimension weighting coefficient matrix, a basic fine tuning coefficient, a stepwise amplitude upper limit and a stepwise amplitude lower limit and a current self-calibration coefficient, wherein the micro-environment dimension weighting coefficient matrix corresponds to the type of an invalid frame to be screened currently and the sensor signal to be screened currently one by one, the matrix comprises influence weights of three dimensions of temperature, conductance and contact impedance on the discrimination of the invalid frame type-sensor signal, and the sum of the weight coefficients of all the dimensions is 1; Calculating the change rate of the temperature, the conductance and the contact impedance in one dimension according to the microenvironment sensing data and the normal-level microenvironment reference value; based on the micro-environment dimension weighting coefficient matrix, carrying out weighted calculation on the single-dimension change rate to obtain a weighted comprehensive change rate aiming at the current invalid frame type-sensor signal; Calculating the actual accurate trimming amplitude by combining the weighted comprehensive change rate, the basic trimming coefficient, the self-calibration coefficient and the upper and lower limits of the stepped amplitude, wherein the actual accurate trimming amplitude is controlled to be within +/-5% - +/-20%; and carrying out arithmetic operation on the discrimination basic threshold value and the actual accurate trimming amplitude to obtain the discrimination threshold value after initial trimming.
  6. 6. The forehead flexibility sensing method of claim 5, further comprising a step of checking real-time accuracy of the initial post-trimming discrimination threshold in step S3, specifically comprising: The upper limit and the lower limit of the effective screening interval corresponding to the screening basic threshold value are called, and if the initial fine-tuned screening threshold value is in the effective screening interval, the initial fine-tuned screening threshold value is used as the final fine-tuned screening threshold value; And if the initial post-trimming discrimination threshold exceeds the effective discrimination interval, correcting the initial post-trimming discrimination threshold to be the boundary value of the effective discrimination interval, taking the final post-trimming discrimination threshold as the final post-trimming discrimination threshold, and marking the trimming overrun information.
  7. 7. The forehead flexible sensing method according to claim 5, wherein in step S3, further comprising a step of performing light self-calibration on the self-calibration coefficient, specifically comprising: counting screening data of various types of invalid frames in the latest preset time interval according to the preset time interval, wherein the screening data comprise the total number of the valid frames, the screening correct number and the misjudgment number, and calculating the misjudgment rate; If the misjudgment rate is greater than a preset threshold, small correction of + -1% - + -3% is carried out on the self-calibration coefficient according to the misjudgment type, the self-calibration coefficient is adjusted downwards if the misjudgment is missed, and the self-calibration coefficient is adjusted upwards if the misjudgment rate is smaller than or equal to the preset threshold; Self-calibration is performed in the sensing gap, and when the device is restarted or a user is replaced, the self-calibration coefficient is restored to an initial value of 1.
  8. 8. The forehead flexibility sensing method according to claim 1, wherein in step S5, the performing of the screening-mining linkage directional re-mining and parameter correction on the determined invalid frame specifically includes: Only performing single directional re-acquisition on the determined invalid frame, and performing directional parameter correction on basic acquisition parameters matched with the current microenvironment in a grading manner according to the specific incentive of the invalid frame to obtain a special re-acquisition parameter; And (3) driving the multi-mode sensor array to acquire multi-mode physiological signals based on the special re-acquisition parameters, generating a re-acquisition data frame, transmitting the re-acquisition data frame into the step S4 again for discrimination judgment, entering a data marking step if the re-acquisition data frame is judged to be an effective frame, directly eliminating the re-acquisition data frame if the re-acquisition data frame is still an ineffective frame, and marking re-acquisition ineffective information.
  9. 9. The forehead flexibility sensing method according to claim 1, wherein in step S6, the adaptive regulation and control operation, the adaptive regulation and control mode, the regulation and control parameter optimization and the regulation and control effect feedback adjustment are specifically included: The self-adaptive regulation and control mode at least comprises an anxiety intervention mode and a sleep promotion mode, and the data fusion and intelligent decision unit dynamically optimizes regulation and control parameters based on physiological characteristics such as brain electrical signals, body temperature, heart rate, blood pressure and the like in the effective data frame; The self-adaptive regulation and control operation comprises one or more of micro-current stimulation, temperature regulation and control, micro-wind cold compress and light stimulation, wherein the micro-current stimulation outputs micro-ampere level safety current, the temperature regulation and control comprises heating and cooling, the micro-wind cold compress outputs normal-temperature breeze through a micro-wind path to realize local cold compress, the light stimulation outputs soft light with corresponding color temperature through an LED lamp strip, and the four regulation and control operations can be independently executed or executed in combination; The feedback adjustment of the adjusting effect comprises the steps that the data fusion and intelligent decision unit analyzes the improvement condition of the forehead skin microenvironment and the physiological signal after adjustment according to the effective signal after re-screening, if the improvement characteristics of reduced contact impedance, stable fluctuation of the physiological signal and the like are detected, the corresponding adjusting intensity is dynamically adjusted downwards, and if the adjusting effect is detected to be not up to the preset standard, the adjusting parameter is finely adjusted to improve the adjusting effect and ensure the effectiveness of the negative feedback closed loop.
  10. 10. A forehead flexible sensing system, characterized in that the forehead flexible sensing system is used for realizing the forehead flexible sensing method according to any one of claims 1-9, and comprises a wearing structure, a forehead flexible sensing unit, a micro control unit, a signal digitizing module, a data storage module, a data fusion and intelligent decision unit and an adaptive regulation and control unit, wherein the units are electrically connected and work cooperatively; the forehead flexible sensing unit is used for collecting forehead skin microenvironment data and multi-mode physiological signals; The micro control unit is used for micro environment quantization classification, acquisition parameter matching, invalid frame classification and threshold dynamic linkage fine adjustment, invalid frame directional re-acquisition and data marking, and simultaneously receives the regulated physiological signals to drive the forehead flexible sensing unit to execute the sensing flow again; the signal digitizing module is used for receiving the marked effective data frames output by the micro control unit, digitizing the effective data frames and transmitting the effective data frames to the data fusion and intelligent decision unit; The data storage module is used for storing a microenvironment grading threshold value table, a microenvironment dimension weighting coefficient matrix, a basic fine adjustment coefficient, a stepwise amplitude upper limit and a stepwise amplitude lower limit, screening a basic threshold value, a feature code and a time stamp of an effective data frame, and supporting data tracing and algorithm iterative call; The data fusion and intelligent decision unit is used for carrying out fusion analysis on the digitized effective data frames, matching the self-adaptive regulation and control mode and optimizing the regulation and control parameters, and simultaneously analyzing the regulation and control effect according to the effective signals after re-screening and dynamically adjusting the regulation and control intensity.

Description

Forehead flexible sensing method and forehead flexible sensing system Technical Field The invention relates to the technical field of flexible sensing, in particular to a forehead flexible sensing method and a forehead flexible sensing system. Background The forehead flexible sensing technology has been widely applied to the medical health fields such as electroencephalogram monitoring, vital sign detection, nerve regulation intervention and the like by virtue of the advantages of being convenient to wear, fitting human physiological characteristics and being capable of realizing dynamic physiological signal acquisition, and becomes one of the core development directions of the current wearable physiological monitoring equipment. In the prior art, a forehead flexible sensing device is provided with a flexible electrode disc and a multi-mode sensor array at the forehead to realize synchronous acquisition of multi-mode physiological signals such as electroencephalogram (EEG), photoplethysmography (PPG), body temperature, blood pressure and the like, and the acquired physiological signals are used as the basis by combining a micro control unit, a data fusion module and a self-adaptive regulation unit to execute nerve regulation and control operations such as micro current stimulation, temperature regulation, breeze cold compress, light stimulation and the like so as to realize clinical and daily use targets such as anxiety intervention, sleep promotion and the like. However, when the existing sensing method is used for signal acquisition, preset immobilized acquisition parameters are adopted to drive a sensor array to work, real-time dynamic change characteristics of forehead skin microenvironment in the wearing process of a human body are not fully considered, namely sweat micro-secretion phenomenon of forehead skin of the human body occurs due to sweating, conductivity characteristics between the skin and a flexible electrode disc are directly changed, temperature and humidity change of the external environment can be conducted to the forehead skin through a head band structure, continuous fluctuation of skin temperature is caused, signal detection sensitivity of the sensor is affected, and actions such as rotation, head lowering and head lifting of the head of the human body are caused, and contact state change of the flexible electrode disc and the forehead skin is also caused, so that dynamic change of contact impedance is caused. The multi-dimensional change of the forehead skin microenvironment can directly lead to gradual distortion problems of core physiological signals such as electroencephalogram, PPG and the like, the prior art lacks a multi-dimensional sensing means aiming at the forehead skin microenvironment, a corresponding microenvironment quantization grading mechanism is not established, accurate and dynamic adaptation adjustment of acquisition parameters cannot be carried out according to actual change of the microenvironment, the distortion degree of the physiological signals is further increased finally, and error hidden dangers are buried for subsequent signal analysis and regulation decision. Disclosure of Invention The invention aims to provide a forehead flexibility sensing method and a forehead flexibility sensing system, which are used for solving the problems in the background art. In order to achieve the purpose, the invention provides the technical scheme that the forehead flexibility sensing method comprises the following steps of: S1, performing multidimensional sensing on forehead skin microenvironment by using a forehead flexible sensing unit to obtain microenvironment sensing data; S2, quantitatively classifying the microenvironment sensing data, and matching corresponding basic acquisition parameters according to classification results to drive a multi-mode sensor array to acquire forehead multi-mode physiological signals so as to generate an original data frame; s3, performing invalid frame incentive classification on the original data frame, and performing dynamic linkage fine adjustment on preset basic thresholds for discriminating various invalid frames based on micro-environment quantitative classification results to obtain discrimination thresholds after fine adjustment; S4, screening and judging the original data frames by adopting a fine-tuned screening threshold value, and distinguishing effective frames from invalid frames; S5, performing screening-mining linkage directional re-mining and parameter correction on the judged invalid frames, performing light-weight data marking on the judged valid frames and the re-mined valid frames, and outputting the marked valid data frames to a data fusion and intelligent decision unit; S6, the data fusion and intelligent decision unit performs fusion analysis on the marked effective data frames, matches the corresponding self-adaptive regulation and control mode, dynamically optimizes regulation and control parameters, drives t