Physiological Signal Sensing System with Dynamic Electrode Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional physiological signal sensing devices face challenges in accurately attaching sensing electrodes to the correct muscle positions, leading to distorted signals due to warping or falling off, which results in poor accuracy and discomfort for the wearer.
Innovation Solution
A physiological signal sensing system that includes a device with multiple sensing electrodes and a signal processing unit capable of automatically selecting the optimal electrode pair by comparing sensed signals with reference patterns, ensuring accurate attachment and continuous measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the adhesion of the sensing electrode pad is enhanced to secure it firmly to the skin, then the reliability of signal measurement is improved, but the wearer's comfort deteriorates and the arrangement becomes more inconvenient
Solution Approach 1:
The sensing electrode pad is divided into multiple independent sensing electrodes (first sensing electrode, second sensing electrode, third sensing electrode, fourth sensing electrode) arranged in a matrix pattern. This segmentation allows the system to selectively use different electrode pairs based on signal quality, so that if some electrodes warp or fall off, others can still provide accurate measurements without requiring the entire pad to be perfectly adhered.
Solution Approach 2:
The system dynamically changes the operational parameters by selecting different electrode pairs based on real-time signal quality assessment. The signal processing device evaluates signal characteristics (amplitude, frequency, noise level) and switches between different electrode combinations to maintain measurement accuracy without requiring enhanced adhesion across the entire pad surface.
2Measurement precision
If the sensing electrode pad is made to cling firmly to the wearer's skin, then the measurement precision is improved, but the device complexity increases due to additional adhesion mechanisms
Solution Approach 1:
The system performs self-diagnosis and self-correction by automatically evaluating the quality of signals from different electrode pairs and selecting the optimal pair for measurement. This self-service capability eliminates the need for complex external adhesion mechanisms or manual intervention to ensure proper electrode placement and contact.
Solution Approach 2:
The electrode selection is dynamic rather than static. The signal processing device continuously monitors signal quality and can switch between different electrode pairs during operation, adapting to changes in skin contact, sweat, or movement without requiring a fixed, highly complex adhesion system.
3Reliability
If multiple sensing electrodes are used to ensure accurate attachment, then the reliability of signal detection is improved, but the ease of operation deteriorates due to difficulty in correct placement
Solution Approach 1:
The system performs preliminary signal quality assessment using all available sensing electrodes before final measurement. By pre-evaluating which electrode pairs provide the best signal characteristics, the system eliminates the need for users to manually determine correct muscle positions or optimize electrode placement, as the system automatically identifies functional electrode pairs regardless of initial placement variations.
Solution Approach 2:
The signal processing device provides feedback by evaluating signal quality from each electrode pair and using this information to select the optimal electrodes for measurement. This feedback mechanism guides the system to automatically compensate for placement errors, making the device easier to operate without requiring precise initial electrode positioning by the user.
Data Source
AI summary
A physiological signal sensing system and a physiological signal sensing method are provided. The physiological signal sensing system includes a signal processing device and a physiological signal sensing device having a plurality of sensing electrodes. The sensing electrodes are used to contact the skin of an organism to sense a plurality of physiological signals. The signal processing device is coupled to the physiological signal sensing device to receive the physiological signals, compares these physiological signals with the reference physiological signal pattern to obtain a comparison result, selects a selected electrode pair from the sensing electrodes based on the comparison result, and uses the selected electrode pair to perform physiological signal measurement on the organism during a normal operation period.


