Neuroheadset Bioelectrical Sensing With Combined Reference Noise Reduction
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Solution Overview
Problem
Existing methods face challenges in simultaneously measuring multiple bioelectrical signals while preventing cross-talk and sufficiently eliminating noise, which limits their effectiveness in applications such as neuromarketing and health monitoring.
Innovation Solution
A biomonitoring neuroheadset system that includes bioelectrical sensors and reference sensors for noise reduction, employing averaging techniques to generate a combined reference signal dataset, which reduces common mode noise and improves signal fidelity by averaging bioelectrical signals from multiple body regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple bioelectrical signals are measured simultaneously, then the quantity of measured signals increases, but cross-talk between signals increases and measurement precision deteriorates
Solution Approach 1:
The patent divides the measurement system into separate measurement channels, each dedicated to measuring a specific bioelectrical signal (EEG, ECG, EMG, GSR) independently. This segmentation prevents cross-talk between different signal types by isolating their measurement paths, allowing simultaneous measurement of multiple signals without interference while maintaining signal fidelity.
Solution Approach 2:
The patent introduces a common mode sense (CMS) electrode as an intermediary reference point that mediates the measurement of multiple bioelectrical signals. This CMS electrode serves as a shared reference that eliminates common mode noise affecting all channels simultaneously, thereby preventing cross-talk and improving measurement precision across all measured signals.
2Measurement precision
If noise reduction techniques are applied, then signal fidelity improves, but device complexity increases
Solution Approach 1:
The patent combines multiple reference sensing functions into a single common mode sense (CMS) electrode that serves all measurement channels simultaneously. This merging approach reduces device complexity by eliminating the need for separate reference electrodes for each channel, while still achieving effective noise reduction across all bioelectrical signals through the shared CMS reference.
3Measurement precision
If reference signals are collected from multiple locations, then noise reduction effectiveness improves, but device complexity increases
Solution Approach 1:
The patent implements a self-service noise reduction mechanism where the common mode sense (CMS) electrode automatically captures common mode noise present in all measurement channels and uses it to eliminate noise from the measured signals. This self-service approach achieves effective noise reduction without requiring complex external processing or additional reference sensors, thereby improving noise reduction effectiveness while minimizing device complexity.
Data Source
AI summary
A method and system for detecting bioelectrical signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting one or more reference signal datasets; collecting, at the one or more sensors, one or more bioelectrical signal datasets referenced to a combined reference signal dataset; and extracting one or more bioparameters from the one or more bioelectrical signal datasets.