Biological Information Detection Device Wavelength Fluctuation Analysis
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Solution Overview
Problem
Existing pulse detection methods using RGB signals are prone to erroneous detection due to external light changes and struggle to accurately convert physical quantities from noise-separated signals.
Innovation Solution
A biological information detection device that separates the color components of a face video into wavelength and spectral intensity components of reflected light, using a camera to image and analyze the light, and detects pulse changes based on wavelength fluctuations, thereby reducing the influence of environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RGB signal spectrum analysis is used for pulse detection, then pulse detection can be performed in real-time non-contact manner, but erroneous detection occurs when external light changes
Solution Approach 1:
The patent segments the reflected light into multiple wavelength components (color channels) and analyzes each component separately. By dividing the spectral analysis into discrete wavelength bands, the system can identify and isolate the pulse signal from external light interference, maintaining detection accuracy while preserving real-time capability
Solution Approach 2:
The patent changes the analysis parameter from simple spectral intensity to wavelength fluctuation characteristics. By detecting changes in wavelength composition rather than just intensity, the system becomes insensitive to external light intensity changes while maintaining ability to detect pulse-induced spectral variations
2Measurement precision
If independent component analysis is applied to separate noise, then noise separation is achieved, but physical quantity specification becomes difficult
Solution Approach 1:
The patent introduces wavelength fluctuation as an intermediary parameter between the raw spectral signal and the physiological quantity. By using wavelength shifts as a mediator, the system maintains noise separation capability while enabling straightforward conversion to physical quantities like pulse rate, avoiding the complexity of direct independent component analysis interpretation
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 method provides a stable pulse detection system resistant to environmental changes by separating wavelength components and analyzing wavelength fluctuations, improving detection accuracy and reducing noise-related errors.
Implementation Method 1
an imaging unit that images reflected light from a target object and outputs a video signal including a plurality of wavelength components
Implementation Method 2
a wavelength fluctuation detection unit that detects difference between the wavelength of the reflected light of each time and the wavelength of the reflected light of a time before each of the time
Data Source
AI summary
A pulse detection method resistant to changes in an imaging environment is provided.A biological information detection device includes an imaging unit that images reflected light from a target object and outputs a video signal including a plurality of wavelength components, a reflected light analysis unit that obtains a wavelength and an intensity of the reflected light from the video signal, a wavelength fluctuation detection unit that detects difference between the wavelength of the reflected light of each time and the wavelength of the reflected light of a time before each of the time, and a pulse detecting unit that detects a change in accordance with a time of the detected difference as a pulse.