Physiological and biochemical fusion monitoring mental stress quantitative evaluation method and device

Abstract

The invention provides a mental stress quantitative evaluation method and device for physiological and biochemical fusion monitoring, a skin interface microfluidic module of the device is used for realizing fresh sweat sampling and rapid refreshing, and accurate sweat analysis is carried out with high time resolution; the multiple layers of sensor patches are used for collecting physiological and biochemical signals related to mental stress; and the evaluation module is used for realizing continuous, real-time and accurate mental pressure monitoring according to the physiological and biochemical signals. According to the invention, long-term, real-time and accurate mental stress condition assessment can be carried out by using the wearable device without intervention of professionals; physiological and biochemical signals of a human body can be monitored at the same time, and specific recognition of a pressure source and a pressure level is achieved by combining the two signals; and sweat can be automatically collected for non-invasive monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent health monitoring, and in particular to a method and device for quantitatively evaluating mental stress through physiological and biochemical fusion monitoring. Background Art

[0002] The effects of anything that seriously threatens homeostasis are termed "stress," and although acute stress responses in healthy individuals are adaptive and controllable, persistent mental stress can have deleterious effects on physical and mental health. High levels of stress and anxiety also place a heavy burden on workers in high-demand occupations, such as athletes, soldiers, and first responders, potentially interfering with their cognitive performance and decision-making processes. To address these effects, understanding and assessing mental stress has become a cornerstone of clinical healthcare.

[0003] The existing mental stress assessment methods are mainly divided into the following categories: first, assessing an individual's stress level through standardized test questionnaires such as stress scales; second, conducting professional psychological interviews to determine their mental stress; third, assessing their stress level by monitoring the subject's physiological parameters, such as heart rate, blood pressure and other indicators. For example, the Chinese invention patent with application number CN202311847571.4 and invention name A method and device for detecting stress based on different emotional states, and the Chinese invention patent with application number CN201980038820.0 and invention name Human mental stress testing method and system.

[0004] The existing methods or technologies have the following problems:

[0005] 1. Stress assessment through stress scales and psychological interviews is easily affected by external conditions during implementation, is highly subjective, and its scientificity remains to be verified;

[0006] 2. Assessing the stress level of subjects through their physiological indicators requires professional equipment, and it is difficult to obtain data in real time. In addition, physiological indicators such as heart rate and blood pressure have weak specificity for stress response and are highly correlated with environmental factors such as temperature. Summary of the invention

[0007] In order to achieve the above-mentioned purpose and other advantages of the present invention, the first purpose of the present invention is to provide a physiological and biochemical fusion monitoring mental stress quantitative assessment device, including a wearable device and an assessment module; wherein,

[0008] The wearable device includes a multi-layer sensor patch, a skin interface microfluidic module, and a communication module. The skin interface microfluidic module is used to achieve fresh sweat sampling and rapid refreshing for accurate sweat analysis with high temporal resolution. The multi-layer sensor patch is used to perform multiplexed metabolic sensing in-situ to collect physiological and biochemical signals related to mental stress. The communication module is used to send the physiological and biochemical signals to the evaluation module;

[0009] The evaluation module is used to achieve continuous, real-time, and accurate mental stress monitoring based on the physiological and biochemical signals.

[0010] Further, the multi-layer sensor patch includes a galvanic skin response (GSR) sensor, a cortisol sensor, and a lactate sensor. The GSR sensor is used to collect and monitor skin conductance signals. The cortisol sensor is used to collect cortisol signals in sweat. The lactate sensor is used to collect lactate signals in sweat.

[0011] Further, the wearable device further includes a sandwich structure, and the skin interface microfluidic module is assembled in the sandwich structure.

[0012] Further, the sandwich structure is composed of a polydimethylsiloxane air gap layer, a polyethylene terephthalate layer, and a medical tape.

[0013] Further, the wearable device is batch manufactured by continuously inkjet printing silver and carbon as the interconnections and electrodes for the top and bottom layers, and the middle polydimethylsiloxane air gap layer is spin-coated between the top and bottom layers.

[0014] Further, the skin interface microfluidic module contains two independent reservoirs for fresh sweat sampling and rapid refreshing.

[0015] The second object of the present invention is to provide a method for quantitative evaluation of mental stress by physiological and biochemical fusion monitoring, which is implemented based on the above device and includes the following steps:

[0016] Obtain the physiological and biochemical signals of the subjects facing different stress sources and stress intensities collected;

[0017] Implement continuous, real-time, and accurate mental stress monitoring through a machine learning model according to the physiological and biochemical signals.

[0018] Further, the physiological and biochemical signals include skin conductance signals, cortisol signals in sweat, and lactate signals in sweat.

[0019] The third object of the present invention is to provide a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0020] The fourth object of the present invention is to provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0021] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0022] The present invention provides a method and device for quantitatively evaluating mental stress through physiological and biochemical fusion monitoring, which can realize the long-term, real-time, and accurate evaluation of the mental stress status by using wearable devices without the intervention of professionals. The present invention can simultaneously monitor human physiological and biochemical signals, and specifically identify stress sources and stress levels by combining these two signals. The present invention can autonomously collect sweat for non-invasive monitoring. The present invention adopts a band-aid type installation form, which can be pasted as needed, and the operation is simple.

[0023] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly and implement it in accordance with the content of the description, the following takes the preferred embodiments of the present invention and combines the drawings to describe in detail as follows. The specific implementation manners of the present invention are given in detail by the following embodiments and their drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0025] Figure 1 Schematic diagram of a device for quantitatively evaluating mental stress through physiological and biochemical fusion monitoring;

[0026] Figure 2 Schematic diagram of a wearable device;

[0027] Figure 3 Evaluation flowchart of a device for quantitatively evaluating mental stress through physiological and biochemical fusion monitoring;

[0028] Figure 4 Flowchart of a method for quantitatively evaluating mental stress through physiological and biochemical fusion monitoring;

[0029] Figure 5 Schematic diagram of a computer device;

[0030] Figure 6 Schematic diagram of a computer-readable storage medium. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] Next, in combination with the accompanying drawings and specific embodiments, the present invention will be further described. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. It should be noted that, on the premise of no conflict, the following described embodiments or technical features can be arbitrarily combined to form new embodiments.

[0032] All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0033] In this application, the accompanying drawing numbers are only used to distinguish each step in the solution and are not used to limit the execution order of each step. The specific execution order shall be subject to the description in the specification.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0035] Embodiment 1

[0036] A mental stress quantification and assessment device for physiological and biochemical fusion monitoring, as Figure 1 、 Figure 2 shown, includes a wearable device and an assessment module; wherein,

[0037] The wearable device includes a multi-layer sensor patch, a skin interface microfluidic module 7, and a communication module. The skin interface microfluidic module is used to achieve fresh sweat sampling and rapid refreshing for accurate sweat analysis with high time resolution. The multi-layer sensor patch is used for in-situ multiplexed metabolic sensing to collect physiological and biochemical signals related to mental stress. The communication module is used to send the physiological and biochemical signals to the assessment module;

[0038] The assessment module is used to achieve continuous, real-time, and accurate mental stress monitoring according to the physiological and biochemical signals.

[0039] By integrating the multi-layer sensor patch with the microfluidic module, the wearable device can be comfortably attached to the wrist of the subject and perform in-situ multiplexed metabolic sensing.

[0040] In some embodiments, as Figure 2As shown, the multi-layer sensor patch includes a galvanic skin response (GSR) sensor 2, a cortisol sensor 3, and a lactate sensor 4. The GSR sensor 2, cortisol sensor 3, and lactate sensor 4 are mounted on the sensor patch platform 1. The GSR sensor is used to collect and monitor skin conductance signals, the cortisol sensor is used to collect cortisol signals in sweat, and the lactate sensor is used to collect lactate signals in sweat.

[0041] Among them, the GSR sensor is a sensor based on the electrical conductivity of the human skin. Studies have shown that skin electrical activity is related to emotions, stress responses, etc. When the subject faces different levels of stress, the electrical conductivity of the skin will change. Therefore, GSR signals can be used as an indicator for emotion detection.

[0042] Cortisol is also known as the stress hormone. When the human body faces significant stress, the secretion of this hormone will increase sharply. Therefore, it can be used as a biochemical marker for stress.

[0043] Lactate, as a metabolite in sweat, its synthesis is affected by stress-related hormones and can also be used as a biochemical marker for stress.

[0044] In actual use, as Figure 3 shown, the wearable device is fixed to the inner part of the subject's wrist. The skin interface microfluidic module is used to collect sweat. The multi-layer sensor patch performs multiplexed metabolic sensing in situ, and physiological and biochemical signals related to mental stress can be obtained. For example, GSR data collection, cortisol data collection, lactate data collection. Then, the collected data is sent to the mobile phone through the Bluetooth module, and the mobile phone realizes the assessment of the mental stress state through the evaluation software.

[0045] In some embodiments, the wearable device further includes a sandwich structure. The skin interface microfluidic module is assembled in the sandwich structure, which can achieve fresh sweat sampling and rapid refreshing, so as to perform accurate sweat analysis with high time resolution. Further, the sandwich structure is composed of a polydimethylsiloxane (PDMS) air gap layer, a polyethylene terephthalate layer, and a medical tape.

[0046] Furthermore, the wearable device is batch manufactured by continuously inkjet printing silver and carbon as the interconnection and electrodes for the top and bottom layers. The middle PDMS air gap layer is spin-coated between the top and bottom layers because the soft PDMS is beneficial for buffering pressure sensitivity and acting as a reservoir for collecting sweat. Finally, a wearable device structure is formed in which the sensor patch platform 1, PDMS air gap layer 5, top electrode 6, and skin interface microfluidic module 7 are arranged in sequence.

[0047] Furthermore, the skin interface microfluidic module includes two independent reservoirs, which can perform fresh sweat sampling and rapid refreshing to achieve accurate sweat analysis with high temporal resolution.

[0048] In some embodiments, by collecting the electrodermal signal, cortisol signal, and lactate signal data of the test subject in cold water, exercise, and VR scenarios, the physiological and biochemical signals of the subject facing different stressors and stress intensities are obtained. A self-developed machine learning model is used for data collection and analysis. This model is trained through a test data set and can realize continuous, real-time, and accurate mental stress monitoring based on physiological and biochemical signals.

[0049] The present invention proposes a device for real-time monitoring of key physiological signals and biochemical signals related to stress of a subject based on a wearable device, so as to more accurately evaluate the mental stress status of the subject.

[0050] Aiming at the problem of insufficient specificity caused by the prior art mostly evaluating stress levels based on physiological signals, by integrating biochemical signal sensors strongly related to the human stress response, including electrodermal sensors, cortisol sensors, and lactate sensors, specific detection of different stresses is realized, and the accuracy is improved.

[0051] The wearable device can non-invasively monitor the electrodermal response, cortisol, and lactate in human sweat, and realize long-term continuous analysis of stress-related physiological and biochemical signals without affecting daily activities, distinguish different stressors, and quantify the mental stress level of the subject.

[0052] Embodiment 2

[0053] A method for quantitative evaluation of mental stress by physiological and biochemical fusion monitoring is implemented based on the above device. For the detailed description of the device, reference can be made to the corresponding description in the above device embodiments, which will not be repeated here. As Figure 4 shown, the method includes the following steps:

[0054] S100. Obtain the physiological and biochemical signals of the subject facing different stressors and stress intensities collected; for example, by collecting the physiological and biochemical signals of the test subject in cold water, exercise, and VR scenarios, the physiological and biochemical signals of the subject facing different stressors and stress intensities are obtained.

[0055] Among them, the acquisition process of physiological and biochemical signals includes: realizing fresh sweat sampling and rapid refreshing through the skin interface microfluidic module of the wearable device to perform accurate sweat analysis with high time resolution, performing multiplexed metabolic sensing in situ through the multi-layer sensor patch of the wearable device to collect physiological and biochemical signals related to mental stress, and then the communication module sends the physiological and biochemical signals to the evaluation module, so as to obtain the physiological and biochemical signals of the subject facing different stress sources and stress intensities during acquisition. By integrating the multi-layer sensor patch and the microfluidic module, the wearable device can be comfortably attached to the subject's wrist and perform multiplexed metabolic sensing in situ.

[0056] In some embodiments, the physiological and biochemical signals include skin conductance signals, cortisol signals in sweat, and lactate signals in sweat. As Figure 2 shown, the multi-layer sensor patch includes a skin conductance sensor 2, a cortisol sensor 3, and a lactate sensor 4. The skin conductance sensor 2, the cortisol sensor 3, and the lactate sensor 4 are installed on the sensor patch platform 1. The skin conductance sensor is used to collect and monitor skin conductance signals, the cortisol sensor is used to collect cortisol signals in sweat, and the lactate sensor is used to collect lactate signals in sweat.

[0057] Among them, the skin conductance sensor is a sensor based on the electrical conductivity of the human skin. Studies have shown that skin electrical activity is related to emotions, stress responses, etc. When the subject faces different stress levels, the electrical conductivity of the skin will change. Therefore, skin conductance signals can be used as an index for emotion detection.

[0058] Cortisol is also known as the stress hormone. When the human body faces significant stress, the secretion of this hormone will increase sharply. Therefore, it can be used as a biochemical marker for stress response.

[0059] Lactate, as a metabolite in sweat, its synthesis is affected by hormones related to stress and can also be used as a biochemical marker for stress response.

[0060] During actual use, as Figure 3 shown, the wearable device is fixed to the inner part of the subject's wrist. The skin interface microfluidic module is used for sweat collection, and the multi-layer sensor patch performs multiplexed metabolic sensing in situ, and physiological and biochemical signals related to mental stress can be obtained. For example, skin conductance data collection, cortisol data collection, and lactate data collection. Then, the collected data is sent to the mobile phone through the Bluetooth module, and the mobile phone realizes the evaluation of the mental stress state through the evaluation software.

[0061] S200. Continuously, real-time, and accurately monitor mental stress through a machine learning model based on the physiological and biochemical signals.

[0062] The present invention provides a method for real-time monitoring of key physiological and biochemical signals related to stress in a subject based on a wearable device, so as to more accurately evaluate the mental stress status of the subject.

[0063] Aiming at the problem of insufficient specificity caused by the prior art that mostly evaluates stress levels based on physiological signals, specific detection of different stresses is realized by integrating biochemical signal sensors strongly related to the human stress response, including cortisol sensors and lactate sensors, thereby improving the accuracy rate.

[0064] The wearable sensor can non-invasively monitor the galvanic skin response of humans, cortisol and lactate in sweat, and realize long-term continuous analysis of stress-related physiological and biochemical signals without affecting daily activities, distinguish different stress sources, and quantify the mental stress level of the subject.

[0065] Embodiment 3

[0066] A computer device 300, as Figure 5 shown, includes a memory 310, a processor 320, and a computer program 330 stored on the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a method for quantitative evaluation of mental stress by physiological and biochemical fusion monitoring. For a detailed description of the method, reference can be made to the corresponding description in the above method embodiments, and details will not be repeated here.

[0067] Embodiment 4

[0068] A computer-readable storage medium, as Figure 6 shown, stores a computer program thereon. When the computer program is executed by a processor, it implements the steps of a method for quantitative evaluation of mental stress by physiological and biochemical fusion monitoring. For a detailed description of the method, reference can be made to the corresponding description in the above method embodiments, and details will not be repeated here.

[0069] The number of devices and the scale of processing described here are used to simplify the description of the present invention. Applications, modifications, and variations of the present invention will be obvious to those skilled in the art.

[0070] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and embodiments. It can be fully applied to various fields suitable for the present invention. For those skilled in the art, additional modifications can be easily made. Therefore, without departing from the general concept defined by the claims and the equivalent scope, the present invention is not limited to the specific details and the illustrated and described examples here.

[0071] The device, computer device, non-volatile computer storage medium, and method provided by the embodiments of this specification are corresponding. Therefore, the device, computer device, and non-volatile computer storage medium also have beneficial technical effects similar to those of the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the corresponding device, computer device, and non-volatile computer storage medium will not be elaborated here.

[0072] Those skilled in the art also know that in addition to implementing the controller in the form of pure computer-readable program code, the method steps can be logically programmed to enable the controller to be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. to achieve the same functions. Therefore, such a controller can be regarded as a hardware component, and the devices included therein for implementing various functions can also be regarded as the structures within the hardware component. Or even, the devices for implementing various functions can be regarded as both software units for implementing the method and the structures within the hardware component.

[0073] The systems, devices, or units illustrated in the above embodiments can be specifically implemented by computer chips or entities, or by products with certain functions. For the convenience of description, when describing the above devices, they are described as various units according to their functions. Of course, when implementing one or more embodiments of this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0074] Those skilled in the art should understand that the embodiments of this specification can be provided as a method, system, or computer program product. Therefore, the embodiments of this specification can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] This specification is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0076] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes and / or blocks Figure 1 one or more of the processes and / or blocks Figure 1 specified in the one or more of the blocks or blocks.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes and / or blocks Figure 1 one or more of the processes and / or blocks Figure 1 specified in the one or more of the blocks or blocks.

[0078] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an …" does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0079] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program units. Generally, program units include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in a distributed computing environment where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program units may be located in both local and remote computer storage media including storage devices.

[0080] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between each embodiment can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments.

[0081] The above is only described with respect to the embodiments of this specification and is not intended to limit one or more embodiments of this specification. For those skilled in the art, various changes and modifications can be made to one or more embodiments of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of one or more embodiments of this specification.

Claims

1. A device for quantitatively assessing mental stress by integrating physiological and biochemical monitoring, characterized in that: Includes wearable devices, evaluation modules; among them, The wearable device includes a multi-layer sensor patch, a skin interface microfluidic module, and a communication module. The skin interface microfluidic module is used to achieve fresh sweat sampling and rapid refreshing, and perform accurate sweat analysis with high time resolution. The multi-layer sensor patch is used to perform multi-channel metabolic sensing in situ to collect physiological and biochemical signals related to mental stress. The communication module is used to send the physiological and biochemical signals to the evaluation module. The evaluation module is used to realize continuous, real-time and accurate mental stress monitoring according to the physiological and biochemical signals.

2. The device for quantitatively assessing mental stress by integrating physiological and biochemical monitoring as claimed in claim 1, characterized in that: The multi-layer sensor patch includes a skin conductance sensor, a cortisol sensor, and a lactic acid sensor. The skin conductance sensor is used to collect and monitor skin conductance signals, the cortisol sensor is used to collect cortisol signals in sweat, and the lactic acid sensor is used to collect lactic acid signals in sweat.

3. The device for quantitatively assessing mental stress by integrating physiological and biochemical monitoring as claimed in claim 1, characterized in that: The wearable device also includes a sandwich structure, and the skin interface microfluidic module is assembled in the sandwich structure.

4. The device for quantitatively assessing mental stress by integrating physiological and biochemical monitoring as claimed in claim 3, characterized in that: The sandwich structure consists of a polydimethylsiloxane air gap layer, a polyethylene terephthalate layer and a medical tape.

5. The device for quantitatively assessing mental stress by integrating physiological and biochemical monitoring as claimed in claim 4, characterized in that: The wearable device is batch-fabricated by continuous inkjet printing of silver and carbon as interconnects and electrodes for the top and bottom layers, with an intermediate polydimethylsiloxane air gap layer spin-coated between the top and bottom layers.

6. The device for quantitatively assessing mental stress by integrating physiological and biochemical monitoring as claimed in claim 3, characterized in that: The skin-interface microfluidic module contains two independent reservoirs for fresh sweat sampling and rapid refreshing.

7. A method for quantitatively assessing mental stress by integrating physiological and biochemical monitoring, implemented based on the device according to any one of claims 1 to 6, characterized in that: The following steps are involved: Obtain the physiological and biochemical signals of the subjects facing different stress sources and stress intensities; Continuous, real-time and accurate mental stress monitoring is achieved based on the physiological and biochemical signals through machine learning models.

8. The method for quantitatively assessing mental stress by integrating physiological and biochemical monitoring as claimed in claim 7, characterized in that: The physiological and biochemical signals include skin conductance signals, cortisol signals in sweat, and lactic acid signals in sweat.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 7 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 7 to 8 are implemented.

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