Psychophysiological Training System Using Stress-Relaxation Coherence
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Solution Overview
Problem
Current methods for improving psychophysiological function under stress lack comprehensive and targeted approaches to identify and mitigate stress-inducing factors and promote relaxation, leading to suboptimal performance and coherence in individuals.
Innovation Solution
A computer-implemented method that uses sensors to monitor stress-indicating physiological parameters, exposing subjects to stress-inducing and relaxation-inducing activities, and providing targeted training protocols to achieve coherence, including feedback and prompts to adjust and optimize relaxation techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive sensor monitoring and personalized training protocols are implemented, then psychophysiological function and coherence under stress are improved, but device complexity and measurement requirements increase
Solution Approach 1:
The system segments the psychophysiological training process into distinct phases: baseline measurement, stress-condition measurement, relaxation-condition measurement, and personalized protocol development. Each phase focuses on specific parameters and produces discrete outputs that feed into the next phase, making the complex system manageable and systematic.
Solution Approach 2:
The system performs preliminary measurements and characterizations before the actual training begins. Baseline measurements of multiple physiological parameters are taken first, followed by stress and relaxation condition measurements, allowing the system to pre-identify key parameters and develop personalized protocols before implementing the training intervention.
2Measurement precision
If multiple physiological parameters are measured and analyzed to identify key stress and relaxation indicators, then measurement precision and personalization are improved, but the quantity of data and processing requirements increase
Solution Approach 1:
The system extracts and identifies key parameters from a larger set of measured physiological data. Through comparative analysis of baseline, stress, and relaxation measurements, the system isolates the specific parameters that are most indicative of stress and relaxation states for each individual, separating the essential information from the redundant data.
Solution Approach 2:
The system applies local quality by identifying that different individuals have different key parameters for stress and relaxation detection. Rather than using a universal set of parameters, the system characterizes each subject's unique physiological response patterns and focuses measurement and analysis on their specific key parameters, optimizing precision for each individual.
3Ease of operation
If targeted training protocols with feedback and prompts are provided, then ease of operation and training effectiveness are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system implements feedback by providing real-time information to subjects during training sessions. Based on measured physiological parameters, the system delivers appropriate prompts and guidance to help subjects achieve desired coherence states, creating a closed-loop control system that continuously monitors and adjusts training delivery.
Solution Approach 2:
The system enables self-service by allowing subjects to undergo autonomous training sessions with automated protocol delivery and real-time feedback. The computer-implemented method guides subjects through training procedures without requiring constant operator intervention, with the system automatically adjusting based on measured physiological responses.
Data Source
AI summary
A computer-implemented system for training a subject to improve psychophysiological function for performance of stress-inducing activity includes a sensor interface device and a non-transitory, tangible computer readable storage medium storing computer program code. The sensor interface provides measurement of a physiological parameter of the subject, indicating stress in the subject.The computer readable storage medium stores computer code that provides a set of training segments presenting the subject with one or more visual, audible, or tactile prompts wherein at least one of the training segments simultaneously presents the subject with a stress-inducing prompt while inducing the subject to perform a relaxation-inducing protocol.