Wearable Biosignal Fit Optimization via Physiological Feedback
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Solution Overview
Problem
Wearable biosignal monitoring devices face challenges in ensuring proper fit and sensor positioning, leading to suboptimal signal quality and user comfort issues.
Innovation Solution
A system comprising bio sensors, a fit event detector, a controller with a signal analysis unit, and a user interface that automatically detects user responses to sensory stimuli, compares them to normative data, and provides recommendations for adjusting the device fit and positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device is made looser to improve user comfort, then user comfort is improved, but signal quality deteriorates due to poor sensor contact
Solution Approach 1:
The system continuously monitors physiological signal quality and provides real-time feedback to the user about device fit. Based on the quality of detected biosignals, the system generates actionable recommendations (e.g., tighten, loosen, reposition) that are communicated through a user interface, enabling users to adjust their device fit dynamically throughout the day.
Solution Approach 2:
The system enables users to self-diagnose and self-adjust their device fit by providing them with interpretive guidance based on automated signal quality analysis. Instead of requiring users to understand complex signal processing or manually adjust settings, the system automatically analyzes biosignal quality and translates it into simple, actionable fit recommendations that users can implement themselves.
2Measurement precision
If the device is made tighter to improve signal quality, then signal quality is improved, but user comfort deteriorates and may lead to non-compliance
Solution Approach 1:
The system continuously monitors physiological signal quality and provides real-time feedback to the user about device fit. Based on the quality of detected biosignals, the system generates actionable recommendations (e.g., tighten, loosen, reposition) that are communicated through a user interface, enabling users to adjust their device fit dynamically throughout the day.
Solution Approach 2:
The system transitions from static device fit to dynamic adjustment. By continuously analyzing biosignal quality over time and providing evolving recommendations, the system enables users to adapt their device fit throughout the day as needed, rather than requiring a single optimal fit setting that must work for all conditions and activities.
3Device complexity
If manual adjustment methods are used to optimize sensor positioning, then device complexity is reduced, but the ability to achieve optimal fit deteriorates
Solution Approach 1:
The system continuously monitors physiological signal quality and provides real-time feedback to the user about device fit. Based on the quality of detected biosignals, the system generates actionable recommendations (e.g., tighten, loosen, reposition) that are communicated through a user interface, enabling users to adjust their device fit dynamically throughout the day.
Solution Approach 2:
The system replaces manual trial-and-error adjustment with automated physiological feedback. Instead of relying on users to mechanically adjust the device based on subjective comfort or visual inspection, the system uses objective biosignal quality metrics to guide positioning, substituting mechanical adjustment intuition with physiological measurement-based guidance.
4Measurement precision
If automated fit optimization is implemented to improve positioning accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses the existing physiological sensors for dual purposes: their primary function of detecting biosignals and a secondary function of monitoring signal quality for fit assessment. By leveraging the same hardware infrastructure for multiple functions, the system avoids adding dedicated complex positioning sensors while still achieving automated fit optimization.
Solution Approach 2:
The system enables users to self-diagnose and self-adjust their device fit by providing them with interpretive guidance based on automated signal quality analysis. Instead of requiring users to understand complex signal processing or manually adjust settings, the system automatically analyzes biosignal quality and translates it into simple, actionable fit recommendations that users can implement themselves.
Data Source
Figure 1A~1B
Figure 2
Figure 3A~3B
AI summary
Methods and systems are provided for assisting a user of a wearable biosignal monitoring device (2) in adjusting the device to achieve optimum fit and positioning. The biosignal monitoring devices considered use integrated bio sensors (5) to monitor the user's physiological activity for various purposes such as tracking daily activity patterns, determining mood, and monitoring sleep stages, among others. It is determined either during device setup or during primary use of the device whether the current fit and positioning of the device (2) enable the bio sensors (5) to properly sense the physiological signals needed for the device to perform its primary function. The user is then informed either after initial device setup whether adjustments need to be made in order to optimize device function during primary use, or is informed after primary use whether adjustments need to be made in order to improve device function during future primary use.