Stress Detection Using Heart Rate Variability and Sympathetic Parasympathetic Analysis
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Solution Overview
Problem
Conventional stress detection methods struggle to evaluate elements related to mental health protection, such as recognizing stressors and assessing their influence on individuals.
Innovation Solution
A stress detection apparatus that utilizes heart rate variability (HRV) factors to detect changes in sympathetic and parasympathetic nervous system activities, identify stressors, and calculate their influence on individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional stress detection methods using HRV factors are used, then the presence and degree of stress can be evaluated, but the ability to recognize stressors and evaluate their influence is insufficient
Solution Approach 1:
The patent segments the stress detection process into multiple independent analysis components: (1) HRV-based sympathetic/parasympathetic nervous system activity detection, (2) voice feature-based stress detection, and (3) external stimulus identification. Each component operates independently to detect different aspects of stress, and their results are integrated to provide comprehensive stressor recognition and influence evaluation, thereby resolving the information loss problem.
2Loss of information
If multiple detection methods are combined to improve stressor recognition, then the evaluation capability is enhanced, but the device complexity increases
Solution Approach 1:
The patent merges multiple detection methods (HRV analysis, voice feature analysis, and external stimulus detection) into a unified stress detection system. The processor integrates results from these different detection approaches to comprehensively identify stressors and evaluate their influence, achieving enhanced stressor recognition capability while managing system complexity through integrated processing.
Solution Approach 2:
The detection apparatus is designed with multi-functionality to perform diverse detection tasks using a single integrated system. The processor can analyze HRV factors, process voice features, identify external stimuli, and evaluate stressor influence all through one universal device, avoiding the need for separate specialized systems for each detection function.
Data Source
AI summary
According to one embodiment, a stress detection apparatus includes a processor. The processor acquires heartbeat information. The processor calculates a heart rate variability factor from the heartbeat information. The processor detects change of an activity of sympathetic nervous system, based on the heart rate variability factor. The processor detects change of an activity of parasympathetic nervous system, based on the heart rate variability factor. The processor detects presence/absence of a stress state, based on time from detection of the change of the sympathetic nervous system to detection of the change of the activity of the parasympathetic nervous system. The processor acquires outside stimuli. The processor identifies a stressor that has provided the stress state from the acquired outside stimuli, based on timing at which the change of the sympathetic nervous system has been detected if the stress state is detected.