Wearable Optical Self-Test During Charging for Signal Degradation
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Solution Overview
Problem
Wearable devices equipped with optical components for collecting physiological data often experience performance degradation over time due to manufacturing defects, debris, or aging, leading to inaccurate data collection.
Innovation Solution
The wearable device measures the performance of its optical components while connected to a charging unit, determining signal and noise levels, and transmits these metrics to a user device. Based on these metrics, the user device can adjust measurement parameters, such as transmit power or algorithm settings, to maintain accurate data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical components are used to collect physiological data, then data collection capability is improved, but performance degradation occurs over time due to manufacturing defects, debris, or aging
Solution Approach 1:
The system performs preliminary characterization of optical components during manufacturing to establish baseline performance metrics. These baseline values are stored and used for future comparison to detect degradation, allowing the system to proactively identify performance issues before they significantly impact data accuracy.
Solution Approach 2:
The system continuously monitors optical component performance by comparing current signal and noise levels against baseline values. When degradation is detected, the system provides feedback to adjust measurement parameters or alert users, creating a closed-loop system that maintains data quality throughout the component's operational life.
2Measurement precision
If optical components degrade over time, then manufacturing precision is compromised, but continuous monitoring and adjustment can maintain measurement accuracy
Solution Approach 1:
The system dynamically adjusts measurement parameters such as signal averaging duration, light source intensity, and filtering thresholds based on real-time optical component performance. When degradation is detected, parameters are modified to compensate for reduced signal quality, thereby maintaining measurement precision despite manufacturing limitations or component aging.
3Measurement precision
If performance metrics are continuously monitored and adjustments are made, then data accuracy is maintained, but device complexity increases
Solution Approach 1:
The system performs self-diagnosis and self-adjustment by automatically monitoring its own optical component performance and modifying measurement parameters without external intervention. This autonomous operation minimizes the need for complex external calibration equipment or manual adjustment mechanisms, reducing overall system complexity while maintaining measurement accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for continuous monitoring and adjustment of optical performance, ensuring the accuracy and reliability of physiological data collected by the wearable device.
Implementation Method 1
an optical transmitter of a set of optical components of the wearable device transmit the light through an optical path to an optical receiver
Implementation Method 2
an optical receiver of a set of optical components of the wearable device receive the light
Data Source
AI summary
Methods, systems, and devices for determining optical performance of a wearable device are described. The method may include a wearable device receiving, from a charging unit coupled with the wearable device, an electrical input for charging a battery of the wearable device and activating, while the wearable device is coupled with the charging unit, optical components of the wearable device. Further, the method may include generating a first signal based on light received at an optical component of the optical components of the wearable device and measuring a performance metric associated with the wearable device based on the first signal. Further, the method may include transmitting a second signal indicating the performance metric to a user device associated with the wearable device.