ECG Stress Index Biofeedback System for Relaxation
Solution Overview
Problem
There is a pressing need for effective stress management strategies, as stress reduces heart rate variability (HRV), a predictive indicator of survival after a heart attack, and is linked to various health issues including anxiety, brain ageing, and potential fatal ventricular arrhythmia, with existing methods failing to provide real-time and comprehensive relaxation solutions.
Innovation Solution
A system and method that processes electrocardiogram (ECG) signals to compute an index of stress, providing real-time biofeedback through visual, audio, or tactile responses, combined with relaxation videos to help users relax, using electrodes to measure ECG, a processor for noise removal and analysis, and a multimedia device for communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stress reduction strategies are implemented, then heart rate variability improves and health outcomes are better, but there is a lack of real-time feedback mechanisms to guide effective relaxation
Solution Approach 1:
The system continuously monitors ECG signals to compute HRV and stress levels, then provides real-time visual feedback through a color-coded stress index display. This closed-loop feedback mechanism enables users to see their stress levels and the effectiveness of relaxation techniques immediately, guiding them to achieve better heart rate variability and health outcomes
2Ease of operation
If comprehensive stress monitoring and relaxation guidance systems are developed, then relaxation effectiveness improves, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: ECG signal acquisition module, noise removal module, HRV computation module, stress index calculation module, and visual feedback display module. This segmentation allows each component to perform its specific function independently, making the overall complex system manageable and easier to operate while maintaining comprehensive stress monitoring and relaxation guidance capabilities
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms complex ECG signals into simplified visual stress index representations. This intermediary layer (including noise removal, HRV computation, and stress index calculation) bridges the gap between complex physiological data and user-friendly feedback, reducing the perceived system complexity for end users
3Speed
If ECG signal processing and analysis are performed in real-time, then immediate biofeedback is provided, but computational requirements and processing time increase
Solution Approach 1:
The system extracts only the essential features from ECG signals for real-time processing - specifically focusing on RR intervals and key frequency components (LF and HF power). By extracting only these critical parameters rather than analyzing the entire signal spectrum, the system provides immediate biofeedback while minimizing computational energy consumption
Solution Approach 2:
The system performs partial processing of ECG signals by focusing on specific frequency bands (low frequency and high frequency components) rather than complete spectral analysis. This partial action approach enables real-time biofeedback generation with reduced computational burden and energy consumption
Data Source
AI summary
A system (10) for relaxation, the system (10) comprising: electrodes (15) worn by a user to measure the electrocardiogram (ECG) of the user; a processor (18) to process the ECG to remove noise and analyse the ECG signal in the time and frequency domains, and compute an index of stress (33) from the processed ECG; and a multimedia device (14) to provide real-time biofeedback by communicating the index of stress (33) to the user together with a relaxation video (31) to cause the user to relax.