Wearable Optical Parameter Tuning for Signal Quality
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Solution Overview
Problem
Wearable devices face challenges in collecting high-quality physiological data due to fixed measurement parameters, leading to poor signal quality and increased power consumption, which can vary significantly among individuals based on factors like sex, weight, age, temperature, and environment.
Innovation Solution
Implementing an optical parameter tuning system that allows wearable devices to adjust measurement profiles, including voltage, current, and burn time of light-emitting components, to optimize signal quality and power consumption based on real-time metrics and user-specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed preconfigured measurement parameters are used, then device complexity is reduced and ease of operation is improved, but signal quality deteriorates and power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of measurement parameters (voltage, current, burn time) based on real-time signal quality assessment and user-specific conditions. The system transitions from static preconfigured parameters to dynamic adaptive parameters, allowing the wearable device to optimize signal quality while managing power consumption based on actual physiological conditions and environmental factors.
Solution Approach 2:
The system changes multiple measurement parameters simultaneously (voltage, current, burn time) to optimize signal quality. By adjusting these parameters based on assessed signal quality and user conditions, the system resolves the contradiction between maintaining simple fixed parameters and achieving high measurement precision through adaptive parameter tuning.
2Use of energy by moving object
If fixed measurement parameters are used, then ease of operation is improved, but power consumption increases
Solution Approach 1:
The wearable device performs self-assessment of signal quality and automatically adjusts measurement parameters without user intervention. The system evaluates its own performance metrics and autonomously optimizes power consumption by selecting appropriate parameter combinations, eliminating the need for manual configuration while reducing energy usage.
Solution Approach 2:
The system implements feedback loops where measurement results are continuously assessed for quality, and this feedback drives automatic adjustment of measurement parameters. By monitoring signal quality metrics and adjusting parameters in response, the system achieves both reduced power consumption and maintained ease of operation through intelligent automation.
3Adaptability or versatility
If fixed measurement parameters are used, then device complexity is reduced, but adaptability to different users and conditions deteriorates
Solution Approach 1:
The system applies user-specific and condition-specific measurement parameter configurations tailored to individual needs. By assessing each user's physiological characteristics and environmental conditions, the system customizes measurement parameters locally for each user-context combination, achieving high adaptability without requiring overly complex manual configuration systems.
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 approach enables wearable devices to select the most effective measurement profiles for improved data quality and reduced power consumption, enhancing the accuracy and efficiency of physiological data collection.
Implementation Method 1
a light-emitting component and a photodetector, and may include: acquiring first physiological data from a user during a first measurement interval using the optical channel of the wearable device
Implementation Method 2
an optical channel that includes a light-emitting component and a photodetector
Data Source
AI summary
Methods, systems, and devices for wearable device are described. A method may include acquiring first physiological data from a user during a first measurement interval using an optical channel of a wearable device, the optical channel comprising a light-emitting component and a photodetector, where the first physiological data is acquired using a first measurement profile. The method may include acquiring second physiological data from the user during a second measurement interval using the optical channel, the second measurement interval subsequent to the first measurement interval, where the second physiological data is acquired using a second measurement profile. The method may include comparing respective measurement quality metrics, respective power consumption metrics, or both, associated with the first measurement profile and the second measurement profile, and selecting the first or second measurement profile to be used to acquire additional physiological data during a third measurement interval using the optical channel.