Wearable Ring Wavelength Filtering for Physiological Signal Noise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wearable devices face challenges in accurately collecting physiological data due to noise from hardware, physiological, and environmental sources, leading to inconsistent measurements and inaccurate results.
Innovation Solution
The use of multiple wavelengths, such as green and red LEDs, to collect signals for physiological data, allowing for noise component determination and filtering based on differences in penetration depths, thereby improving data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple wavelengths are used to collect physiological signals, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the physiological measurement process by using multiple wavelengths (e.g., green and red LEDs) to collect different signal components. Each wavelength penetrates tissue to different depths and captures different noise components, allowing the system to separate and identify noise from physiological signals through comparative analysis
Solution Approach 2:
The patent implements multi-functionality by using the same wearable device hardware to perform both physiological measurement and noise characterization. The system uses multiple wavelengths not just for measurement but also for identifying and removing noise components, making the device serve multiple functions with the same components
2Measurement precision
If multiple wavelengths are used to identify noise components, then data accuracy is improved, but use of energy increases
Solution Approach 1:
The patent employs periodic action by alternating between different wavelength combinations to collect physiological signals. The system periodically switches between green LED, red LED, and their combinations, allowing energy-efficient signal collection while still enabling noise identification through temporal comparison of signals from different wavelengths
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 enhances the quality and accuracy of physiological data by effectively removing common noise components, resulting in cleaner signals and more reliable measurements.
Implementation Method 1
a first signal and a second signal are collected using a set of light emitting elements of the wearable device. The set of light emitting elements includes a first light emitting element associated with a first wavelength and a second light emitting element associated with a second wavelength different than the first wavelength
Implementation Method 2
The first wavelength is associated with a first penetration depth and the second wavelength is associated with a second penetration depth different than the first penetration depth
Data Source
AI summary
Methods, systems, and devices for wavelength based noise filtering for a wearable ring device are described. For example, a noise filtering process may involve combining multiple wavelengths with different penetration depths. For instance, a first measurement may include a first signal gathered from emitting a first light and a second light. A second measurement may include a second signal gathered from emitting the first light and a third light. That is, the first light may be a common denominator between the two measurements. The wearable device may compare or contrast the different signals to determine a noise component. The wearable device may determine the noise component based on the differences between the measurements and their associated penetration depths. The device may then remove the noise component (e.g., filter the noise) from the first and second signals resulting in a clean signal.