Wearable Optical Biosensor PPG Channel Selection for Low-Power Accuracy
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Solution Overview
Problem
Wearable devices face challenges in efficiently collecting health data due to size limitations, particularly in selecting the optimal photoplethysmogram (PPG) channels for accurate health parameter measurements while managing energy consumption and battery life.
Innovation Solution
A multi-sensor wearable device with PPG channels, including light emitters and receivers, uses a processor to select the most suitable channel based on established selection parameters, optimizing energy usage and signal quality for health measurements like blood pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple PPG channels are used to improve measurement accuracy and reliability, then health parameter measurement precision is improved, but device energy consumption increases
Solution Approach 1:
The system dynamically selects PPG channels based on real-time signal quality assessment rather than using all channels continuously. The processor evaluates multiple channels and selectively activates only those meeting quality thresholds, enabling adaptive energy consumption while maintaining measurement accuracy.
Solution Approach 2:
The system changes operational parameters by adjusting which PPG channels are active based on signal quality metrics. By modifying the set of active channels according to measured signal characteristics, the system optimizes the balance between measurement precision and energy consumption.
2Reliability
If multiple PPG channels are used to ensure reliable health data collection, then measurement reliability is improved, but battery life is reduced
Solution Approach 1:
The system implements dynamic channel selection that adapts to signal quality conditions. By continuously assessing PPG signal characteristics and adjusting the active channel set accordingly, the system maintains reliable health data collection while minimizing energy consumption to extend battery life.
Solution Approach 2:
The device performs self-assessment of PPG signal quality across multiple channels and autonomously selects the optimal subset for continuous monitoring. This self-service mechanism ensures reliable data collection without requiring external intervention or continuous high-power operation of all channels.
3Use of energy by moving object
If optimal PPG channel selection is implemented to reduce energy consumption, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary assessment of PPG channel signal quality before committing to continuous monitoring of selected channels. By pre-evaluating channel characteristics and establishing quality thresholds in advance, the system simplifies real-time decision-making while maintaining energy efficiency.
Solution Approach 2:
The system implements feedback mechanisms where PPG signal quality metrics from initial channel assessments inform subsequent channel selection decisions. This feedback loop enables the processor to optimize energy efficiency through intelligent channel selection without requiring overly complex processing algorithms.
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
The device effectively determines health parameters such as blood pressure by selecting the optimal PPG channel with minimal energy consumption, ensuring accurate and efficient data transmission to connected compute devices.
Implementation Method 1
A plurality of photoplethysmogram ('PPG') channels, wherein each of the plurality of PPG channels comprise at least one light emitter and at least one light receiver sensor
Implementation Method 2
each of the plurality of PPG channels comprise at least one light emitter and at least one light receiver sensor, such as a photo diode ('PD')
Data Source
AI summary
A multi-sensor optical biosensor system to determine one or more health parameters of a user, such as the user's blood pressure. The system includes a multi-sensor wearable device communicatively connected to a user compute device, which may be in communication with a remote compute device. The multi-sensor wearable device could include optical devices to generate a photoplethysmogram (“PPG”) signal that is transmitted to the user compute device. In some cases, the multi-sensor wearable device may be configured to select a PPG channel to transmit to the user's compute device from a plurality of PPG channels based on one or more selection parameters.