Wearable PPG Sensor Contact Optimization via Feedback Control
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Solution Overview
Problem
Existing wearable electronic devices equipped with PPG sensors struggle to accurately measure biometric signals due to ambiguous criteria for optimal wearing state, leading to distorted signals and reduced measurement accuracy.
Innovation Solution
An electronic device with a PPG sensor, a processor, and a display that provides user guidance to adjust the contact state between the device and the user's body, automatically determining the optimal contact distance based on measured biometric data to ensure accurate signal detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the electronic device is worn tightly on the body to improve contact between the PPG sensor and skin, then the measurement accuracy of biometric signals is improved, but the signal becomes distorted due to excessive tightness
Solution Approach 1:
The system continuously monitors PPG signal quality metrics and provides real-time feedback to the user about wearing state. Based on the analyzed signal characteristics, the device generates guidance information that feedbacks to the user for adjusting the wearing state, creating a closed-loop control system that optimizes measurement accuracy while preventing signal distortion.
Solution Approach 2:
The electronic device automatically analyzes its own PPG signal quality and generates wearing guidance information without external intervention. The system self-diagnoses the wearing state based on signal characteristics and provides self-correction guidance, enabling the device to maintain optimal measurement conditions autonomously.
2Object-affected harmful factors
If the electronic device is worn loosely on the body to avoid signal distortion, then the comfort and safety are improved, but the measurement accuracy of biometric signals deteriorates
Solution Approach 1:
The system provides real-time feedback about the adequacy of contact between the sensor and skin based on PPG signal quality analysis. The feedback mechanism guides the user to achieve optimal contact pressure, ensuring sufficient signal strength and accuracy without excessive tightness that would cause distortion.
Solution Approach 2:
The system dynamically adjusts the evaluation criteria for wearing state based on signal parameters. By monitoring changes in PPG signal characteristics such as amplitude, frequency content, and waveform morphology, the system adapts its assessment of optimal wearing conditions to maintain measurement accuracy across different usage scenarios.
3Device complexity
If ambiguous criteria for optimal wearing state are used, then the device complexity is reduced, but the measurement accuracy and reliability deteriorate
Solution Approach 1:
The electronic device automatically performs comprehensive signal quality analysis using multiple parameters including amplitude, frequency, waveform morphology, and signal-to-noise ratio. The system self-determines the wearing state based on this multi-parameter analysis without requiring external calibration or complex user setup, maintaining high measurement accuracy while keeping the user interface simple.
Solution Approach 2:
The system uses a universal set of PPG signal analysis parameters that can evaluate wearing state quality across different users, body types, and usage conditions. By establishing a multi-functional evaluation framework that considers multiple signal characteristics simultaneously, the system achieves accurate wearing state determination applicable to diverse scenarios without increasing device complexity.
4Measurement precision
If automatic adjustment of contact distance is implemented to optimize biometric signal detection, then the measurement accuracy is improved, but the device complexity increases
Solution Approach 1:
The system implements a software-based feedback control mechanism that automatically adjusts the evaluation of wearing state based on real-time PPG signal quality. By using signal characteristics as feedback parameters, the system achieves automatic optimization of contact assessment without requiring complex mechanical adjustment mechanisms, maintaining measurement accuracy while minimizing added complexity.
Solution Approach 2:
The patent replaces complex mechanical automatic adjustment mechanisms with a software-based signal analysis and evaluation system. Instead of using motors or mechanical components to physically adjust contact distance, the system uses digital signal processing and algorithmic evaluation to determine optimal wearing state, substituting mechanical complexity with computational intelligence.
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 solution enhances the accuracy and consistency of biometric signal measurement by optimizing the contact state between the device and the user's skin, minimizing signal distortion and improving the reliability of healthcare services provided by wearable devices.
Implementation Method 1
a photoplethysmogram (PPG) sensor exposed through a second portion of the housing and configured to measure a biometric signal from a body part of a user
Data Source
AI summary
An electronic device may include: a housing; a display configured to be viewed through a first portion of the housing; a photoplethysmogram sensor exposed through a second portion of the housing and configured to measure a biometric signal from a body part of a user while being in contact with the body part of the user; a fastening structure connected to the housing and configured to be attached to the body part of the user; a wireless communication circuit; a processor provided inside the housing and operatively connected to the display, the photoplethysmogram sensor, and the wireless communication circuit; and a memory operatively connected to the processor. The memory stores instructions, when executed, to allow the processor to: receive data from the photoplethysmogram sensor; determine a first parameter; determine a distance between the body part of the user and the fastening structure; and provide user guidance information on the display.