Adaptive Noise Quantification for Wearable Biosignal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Biosignal sensors in wearable devices face challenges with motion artifacts that corrupt signal quality, leading to inaccurate measurements due to relative movements between the sensor and the user, necessitating effective noise quantification methods to improve signal-to-noise ratio.
Innovation Solution
An adaptive noise quantification system that combines biosignal and motion sensors with a computing device to determine the user's motion stage, calculate noise levels by forming noise descriptor sets, and use noise estimators to quantify noise in biosignals, specifically utilizing morphological and environmental descriptors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biosignal sensors are integrated in wearable devices to allow flexibility and comfort, then ease of operation is improved, but motion artifacts increase causing signal quality deterioration
Solution Approach 1:
The patent segments the noise quantification process into multiple independent components: motion stage determination module, noise descriptor set formation module, and noise level calculation module. This segmentation allows each component to be optimized independently while maintaining overall system effectiveness in reducing motion artifacts.
Solution Approach 2:
The patent introduces motion stage determination as an intermediary element that bridges the gap between motion signals and biosignal analysis. By determining motion stages based on motion signals and using them to guide noise quantification, the system mediates the harmful effect of motion artifacts without restricting user movement.
2Reliability
If traditional noise filtering methods are applied to remove motion artifacts, then signal quality is improved, but loss of information occurs due to removal of useful signal components
Solution Approach 1:
The patent changes the parameter of noise quantification from fixed threshold-based filtering to adaptive noise level calculation based on motion stages. By forming noise descriptor sets with multiple parameters (standard deviation, mean, skewness, kurtosis) and adapting the noise level according to determined motion stages, the system achieves better signal quality preservation.
Solution Approach 2:
The patent implements dynamic noise quantification where the noise level estimation adapts in real-time based on the determined motion stage. Instead of using static filtering parameters, the system dynamically adjusts noise characterization according to the current motion conditions, preserving useful signal components while removing motion artifacts.
3Device complexity
If noise level estimation is performed without considering motion stages, then device complexity is reduced, but measurement precision deteriorates due to inaccurate noise characterization
Solution Approach 1:
The patent performs preliminary action by determining the motion stage before conducting noise level estimation. This preliminary determination of motion context allows the subsequent noise quantification to be more accurate, as the noise characteristics are understood in the context of the current motion state rather than in isolation.
Solution Approach 2:
The patent adds another dimension to noise quantification by incorporating motion stage determination. Instead of estimating noise level from biosignal alone, the system estimates noise level as a function of both biosignal characteristics and motion stage, creating a two-dimensional approach that improves measurement precision.
Data Source
AI summary
An adaptive noise quantification system and associated methods are disclosed for use in the dynamic biosignal analysis of a user. In at least one embodiment, the system includes a biosignal sensor positioned and configured for obtaining and transmitting data related to a select at least one vital of the user as a biosignal, and a motion sensor positioned and configured for obtaining and transmitting data related to a motion level of the user as a motion signal. A computing device is configured for receiving and processing the biosignal and motion signal.