Pulse Wave Detection Using Weighted Signal Processing
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Solution Overview
Problem
Existing methods for detecting pulse waves without contact, using environmental light, face challenges with noise interference, leading to reduced accuracy due to increased processing load and divergence of noise reduction coefficients.
Innovation Solution
A pulse wave detection method that extracts signal intensities from specific frequency bands for wavelength components, calculates a weight coefficient to minimize noise, and multiplies signals to reduce noise components, enabling accurate pulse wave detection under environmental lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pulse waves are detected without contact using environmental light, then ease of operation is improved, but measurement precision deteriorates due to noise interference
Solution Approach 1:
The patent segments the signal processing into multiple frequency band analyses. It divides the frequency spectrum into specific bands and processes each band separately to extract pulse wave information while filtering out noise in different frequency ranges, thereby maintaining measurement precision without contact
Solution Approach 2:
The patent changes the parameter of frequency band selection by identifying and analyzing specific frequency bands where pulse wave signals are most prominent. By adjusting the frequency band parameters and applying appropriate filtering, it extracts valid pulse signals from environmental light while suppressing noise
2Measurement precision
If noise reduction processing is performed by calculating correlation for multiple assumed values, then measurement precision is improved, but productivity deteriorates due to increased processing load
Solution Approach 1:
The patent applies partial action by performing noise reduction processing only on specific frequency bands rather than the entire frequency spectrum. It identifies and processes only the relevant frequency ranges where pulse wave signals exist, thereby reducing the overall processing load while maintaining measurement precision in the critical bands
3Productivity
If the number of assumed values for noise reduction is reduced to decrease processing load, then productivity is improved, but measurement precision deteriorates as the coefficient diverges from the proper value
Solution Approach 1:
The patent performs preliminary action by pre-identifying the specific frequency bands where pulse wave signals are located before conducting noise reduction processing. This preliminary frequency band identification allows the system to focus computational resources on the most relevant bands, ensuring accurate coefficient calculation with fewer assumed values while maintaining measurement precision
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 reduces processing load and maintains detection accuracy by minimizing noise interference, allowing for effective pulse wave detection using environmental light without contact with the subject.
Implementation Method 1
obtaining an image obtained by photographing a subject with an imaging device
Data Source
AI summary
A pulse wave detection method includes obtaining an image obtained by photographing a subject with an imaging device, extracting intensities representative of signal components of a specific frequency band for respective wavelength components among signals of a plurality of wavelength components included in the image, calculating, using the intensities extracted for the respective wavelength components, a weight coefficient by which a signal is multiplied when the signals are calculated between the wavelength components to minimize an arithmetic value of the signal components in the specific frequency band after multiplication, multiplying at least one of the signals of the respective wavelength components by the weight coefficient, performing arithmetic operation on the signals between the wavelength components after multiplication by the weight coefficient, and detecting pulse waves of the subject using a signal after the arithmetic operation.