CN-121987175-A - Bimodal health assessment sensor and method integrating sweat cortisol and pulse wave

CN121987175ACN 121987175 ACN121987175 ACN 121987175ACN-121987175-A

Abstract

The invention discloses a bimodal health assessment sensor and a bimodal health assessment method. The device is integrated on a flexible substrate and comprises a sweat microfluidic subsystem, an electrochemical sensing module, a pulse sensing subsystem and an information processing unit. The microfluidic subsystem directionally conveys sweat to the collecting cavity through a capillary network, and electrodes of the electrochemical module are arranged along the flow direction of the cavity wall to ensure that sweat cortisol is sufficiently detected. The pulse subsystem comprises three flexible pressure sensors matched with radial artery size, closing and ulnar points. The information processing unit synchronously collects cortisol concentration signals and multichannel pulse wave signals, and comprehensive health assessment is generated through fusion analysis. The method comprises the steps of synchronously acquiring and processing bimodal signals, extracting and fusing pulse characteristics and cortisol dynamic characteristics, inputting a model to obtain a comprehensive index of cardiovascular functions and emotion pressure, and further generating dynamic risk assessment and early warning. The invention realizes real-time, continuous and noninvasive comprehensive evaluation of the sweat cortisol and the pulse wave.

Inventors

WANG CHUNGE
ZHAO ZIXIA
HUANG YUANYUAN
ZHAO ZHICHENG
LI HAOYU
ZHANG JIANAN
ZHANG CHENG
WANG QIANQIAN

Assignees

浙大宁波理工学院

Dates

Publication Date: 20260508
Application Date: 20260202

Claims (10)

1. A bimodal health assessment sensor integrating sweat cortisol with pulse waves, comprising: The flexible substrate is provided with an integrated structure for synchronously collecting sweat biochemical signals and pulse wave signals; The integrated structure comprises: The sweat microfluidic subsystem comprises an inverted cone-shaped collection cavity for converging sweat, wherein the collection cavity is communicated with a sweat collection inlet on the surface of skin through at least one capillary force driving path formed by a sweat absorption channel and a sweat guide channel to form a micro-channel network for directionally conveying the sweat from the skin to the collection cavity; the sweat guide channel is from the sweat guide channel outlet to extend downwards obliquely to the side wall of the collecting cavity, and at least one liquid inlet is formed on the side wall of the collecting cavity; The electrochemical sensing module comprises a reference electrode, a counter electrode and a working electrode with a cortisol molecularly imprinted polymer layer modified on the surface; the sensitive ends of the reference electrode, the counter electrode and the working electrode are sequentially arranged on the side wall of the collecting cavity along the flow direction of sweat flowing into the collecting cavity from the liquid inlet, and the sensitive end of the working electrode is positioned at the most downstream; The inclined arrangement of the sweat guide channels cooperates with the arrangement of the working electrode at the most downstream to ensure that sweat which is driven by capillary force and slowly gathers into the collecting cavity can continuously and fully cover the sensitive end of the working electrode; the pulse sensing subsystem comprises three independent flexible pressure sensing units fixed on the flexible substrate according to preset intervals, wherein the preset intervals are configured to enable the three sensing units to be correspondingly attached to three pulse diagnosis points of cun, guan and chi of the radial artery of the wrist of a human body at the same time; The information processing unit is electrically connected with the electrochemical sensing module and the pulse sensing subsystem and is used for synchronously acquiring time sequence cortisol concentration signals ensured by directional transportation and electrode layout of the sweat microfluidic subsystem and multichannel pulse waveform state signals acquired by three specific pulse diagnosis points, and generating a comprehensive health state evaluation result by fusion analysis of the bimodal signals.
2. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 1 wherein the capillary force driven path of the sweat microfluidic subsystem is of a three-stage progressive configuration comprising, in order: A sweat absorbing channel as a sweat collection unit, which is an elongated tapered microchannel with a taper configured to provide spontaneous upward driving potential for low flow rate sweat based on capillary forces; a sweat guide channel as a flow guide unit, which is an inclined microchannel, the inclination angle of which is configured to ensure that sweat can continuously flow to the collection cavity against the influence of gravity and evaporation at low flow rates; The inverted cone-shaped collection chamber, which acts as an accumulation and sensing unit, has its sidewall opening angle configured to form a natural slope from the flow directing unit outlet to the bottom sensing area to buffer sweat secretion fluctuations and ensure uniform sweat coverage at the sensitive end of the working electrode.
3. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 1 wherein the working electrode modification layer comprises a three-layer structure of sequentially stacked and functionally coordinated: A base conductive layer; the nano material conductive enhancement layer is arranged on the basic conductive layer and is used for increasing the specific surface area of the electrode and the electron conductivity; The molecular imprinting recognition layer is arranged on the conductive enhancement layer, is provided with imprinting cavities complementary with cortisol molecules, and is embedded with electrochemical redox probes; wherein the molecularly imprinted recognition layer is configured to block electron conduction by the redox probe when its imprinted cavity captures cortisol molecules in sweat, thereby generating an electrochemical signal related to cortisol concentration.
4. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 3 wherein said nanomaterial conductivity enhancement layer comprises graphene oxide, said molecularly imprinted recognition layer is polymerized with pyrrole as a functional monomer and Prussian blue as said electrochemical redox probe.
5. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 1 wherein each flexible pressure sensing unit of the pulse sensing subsystem comprises: The flexible micro-channel network has the channel width gradually converged from the periphery of the network to the central sensing area according to the geometric progression rule to form a narrow channel area sensitive to local pressure change; The liquid metal composite conductive material filled in the micro-channel network comprises gallium indium eutectic alloy and silver-coated copper particles dispersed therein; the convergent design of the width of the flow channel is cooperated with the liquid metal composite conductive material, so that when the narrow flow channel area is deformed due to pressure, the loop resistance of the conductive material can be sensitively and linearly changed, and meanwhile, the silver-coated copper particles form a standby conductive path in the liquid metal matrix, so that the electrical stability under dynamic deformation is enhanced.
6. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 1 wherein the information processing unit is configured to execute a comprehensive health assessment algorithm comprising: data synchronization and alignment step, namely, collecting multi-channel pulse wave signals And cortisol concentration sequence Time alignment is performed, wherein the sequence of cortisol concentrations is interpolated to a continuous function (T) and introducing personalized physiological delay parameters Compensating to obtain time synchronous joint signal Wherein ; A bimodal feature fusion step of combining the signals from the time alignment In the method, a pulse feature set reflecting cardiovascular functions and a cortisol dynamic feature set reflecting psychological stress level are extracted and fused to construct a combined feature vector representing the instant physiological and psychological states of a user ; Wherein the pulse feature set comprises at least one of heart rate HR, heart rate variability HRV, enhancement index AIx, systole time interval STI and waveform K value, and the cortisol dynamic feature set comprises at least one of current concentration value Slope of short term change Relative to personalized day and night deviation of the rhythm curve ; A step of calculating the integrated state index, which is to calculate the joint feature vector Inputting a trained assessment model trained to simultaneously output a first composite index indicative of cardiovascular functional status And a second combination index representing emotional stress state 。
7. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 6 wherein the assessment model is a gradient boost decision tree model configured to receive as input a time series feature matrix comprised of the joint feature vectors of current and historical time windows and to output the first and second composite indices simultaneously by performing a correlation analysis and regression.
8. The integrated sweat cortisol and pulse wave bimodal health assessment sensor of claim 6 wherein said health assessment algorithm further comprises a personalized dynamic pre-warning step comprising: reference establishment phase establishing personalized cardiovascular function index reference based on historical resting period data of the user And mood stress index reference Wherein the benchmark is determined by comparing the index value in the history synchronous resting state And Carrying out displacement averaging to obtain; State quantization phase, calculating the current cardiovascular function index And mood stress index Normalized degree of deviation from their respective personalized benchmarks And Wherein , , And Historical standard deviations of the corresponding indexes respectively; An adaptive threshold calculation stage based on the normalized deviation 、 And the recent change trend thereof, and dynamically calculating personalized early warning threshold value Wherein the recent trend of change includes a short term slope extracted from within a sliding time window 、 And steady state index The early warning threshold value According to the formula Calculation of wherein As a basis for the threshold value, For the motion state tolerance coefficient, Is a negative value, and is a positive value, Encoding a motion state; A hierarchical decision stage, namely, obtaining a risk assessment result based on the current bimodal signal And the dynamic early warning threshold value Comparing, and determining a health early warning level according to a comparison result, wherein the health early warning level is based on the comparison result And (3) with Dividing the health warning relationship into a plurality of progressive health warning levels, wherein the plurality of levels at least comprise when Significantly lower than No early warning level when Near but not reach Suggested focus level when Exceeding the limit But not to a certain multiple thereof, and when Significantly exceed High risk alert level at that time.
9. The sensor for dual-mode health assessment integrating sweat cortisol and pulse waves according to claim 1, further comprising a flexible packaging protection layer, wherein the flexible packaging protection layer covers the outside of the flexible substrate and the electrochemical sensing module and pulse sensing subsystem integrated on the flexible substrate and forms a wearing surface of the sensor together with the flexible substrate, a mounting through hole matched with the shape of a shell of the flexible packaging protection layer is arranged at a position corresponding to the information processing unit, and the shell of the information processing unit is in sealing connection with the edge of the mounting through hole, so that a control switch of the information processing unit is exposed to the outside through the mounting through hole, thereby forming an integrated user interaction area.
10. A multi-modal monitoring method for integrated detection of sweat cortisol and pulse waves, characterized in that a dual-modal health assessment sensor for integrated detection of sweat cortisol and pulse waves according to any one of claims 1-9 is used, comprising the steps of: acquiring a time sequence sweat cortisol concentration signal and a multichannel radial artery pulse waveform state signal from the same user; performing time synchronization processing on the cortisol concentration signal and the pulse wave signal, wherein physiological delay compensation is introduced to the cortisol concentration signal; Extracting and fusing a pulse feature set reflecting cardiovascular functions and a cortisol dynamic feature set reflecting psychological stress level from the time-synchronized bimodal signals to generate a combined feature vector; Inputting the combined feature vector into a trained evaluation model, and synchronously obtaining a first comprehensive index representing the cardiovascular function state of a user and a second comprehensive index representing the emotional stress state; and generating a dynamic health risk assessment result and early warning information based on the personalized benchmarks and the recent change trends of the first comprehensive index and the second comprehensive index.

Description

Bimodal health assessment sensor and method integrating sweat cortisol and pulse wave Technical Field The invention relates to the technical field of application of biological sensors, in particular to a bimodal health evaluation sensor and a bimodal health evaluation method integrating sweat cortisol and pulse waves. Background As health management demands grow, wearable noninvasive monitoring technologies develop rapidly. Currently, cardiovascular parameters such as heart rate variability can be monitored through a photoelectric volume pulse wave or flexible pressure sensor of the intelligent bracelet, and biochemical indexes such as cortisol can be detected based on sweat analysis technology of adsorption, microfluidic or electrochemical sensors. However, most of the existing schemes are single-function and isolated analysis modes, such as only assessing psychological stress or only screening heart rhythms, so that the inherent correlation between psychological and cardiovascular functions cannot be revealed, and complex physiological states are difficult to comprehensively reflect. There are still significant challenges at the hardware level. For sweat detection, the existing microfluidic structure has insufficient collection and transportation efficiency of low-flow passive sweat, and is easy to cause response delay and analyte concentration distortion. For pulse wave acquisition, the microstructure design of the traditional flexible pressure sensor is difficult to balance high stretchability and high sensitivity, and is easy to be interfered by skin deformation and movement in long-term dynamic wearing, so that contact pressure change, signal baseline drift and signal-to-noise ratio reduction occur, and stable capture of pulse wave morphology is affected. Although the novel ultrathin flexible sensor realizes conformal fit and wireless transmission with skin through an integrated process, the long-term stability and the anti-interference capability of the sensor are still required to be improved. In the aspects of data processing and health insight, the existing system stays at the data simple display or threshold alarming, lacks an intelligent algorithm model capable of deeply fusing multi-mode signals (such as cortisol, heart rate variability and pulse waves), cannot effectively compensate physiological time sequence differences among heterogeneous signals, and also is difficult to establish a dynamic and personalized evaluation benchmark based on personal long-term data. In addition, the software interface is often professional data list, lacks user-friendly visualization and comprehensive interpretation, and limits the practical application value of the data. Therefore, the field is urgent to need an integrated health monitoring solution which can seamlessly integrate multiple physiological signal acquisition, and realize high-quality synchronous acquisition, cross-mode intelligent fusion and personalized dynamic early warning through deep cooperation of hardware and an algorithm. Disclosure of Invention Aiming at the defects, the invention provides a bimodal health evaluation sensor and a bimodal health evaluation method integrating sweat cortisol and pulse waves, which realize real-time, continuous and noninvasive comprehensive evaluation of sweat cortisol and pulse waves of users. The invention provides a technical scheme that a bimodal health evaluation sensor integrating sweat cortisol and pulse waves comprises: The flexible substrate is provided with an integrated structure for synchronously collecting sweat biochemical signals and pulse wave signals; The integrated structure comprises: The sweat microfluidic subsystem comprises an inverted cone-shaped collection cavity for converging sweat, and the collection cavity is communicated with a sweat collection inlet on the surface of skin through at least one capillary force driving path formed by a sweat absorption channel and a sweat guide channel to form a micro-channel network for directionally conveying the sweat from the skin to the collection cavity; The sweat guide channel extends downwards from the sweat suction channel outlet to the side wall of the collecting cavity in an inclined way, and at least one liquid inlet is formed on the side wall of the collecting cavity; The electrochemical sensing module comprises a reference electrode, a counter electrode and a working electrode with a cortisol molecularly imprinted polymer layer modified on the surface; The sensitive ends of the reference electrode, the counter electrode and the working electrode are sequentially arranged on the side wall of the collecting cavity along the flow direction of sweat flowing into the collecting cavity from the liquid inlet, and the sensitive end of the working electrode is positioned at the most downstream; The inclined arrangement of the sweat guide channel cooperates with the arrangement of the working electrode at the most downstream to ensure that sweat