Biological Information Measuring Device Using Component Analysis
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Solution Overview
Problem
Measuring biological information in vehicles is challenging due to vehicle vibrations, which are detected as noise, making it difficult to separate biological information from noise using frequency filters, especially during travel when their frequency bands overlap.
Innovation Solution
A biological information measuring device with multiple sensors and a processing device that performs component analysis to generate component signals, separating biological information from noise, using techniques like principal component analysis, and a determination part to identify biological information among the component signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency filters are used to separate biological information from noise, then measurement precision is improved under ideal conditions, but measurement precision deteriorates when vehicle vibrations overlap with biological information frequency bands
Solution Approach 1:
The patent segments the mixed signal into multiple component signals using independent component analysis (ICA). The ICA algorithm decomposes the observed signal (containing both biological information and vehicle vibration noise) into statistically independent source signals. This segmentation allows the system to separate biological information from noise even when their frequency bands overlap, resolving the contradiction between measurement precision and reliability during vehicle travel.
2Measurement precision
If multiple sensors are deployed to capture comprehensive signals, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a single sensor that serves multiple functions: capturing both biological information (heartbeat, respiration) and vehicle vibration noise simultaneously. Rather than using separate sensors for each function, the system uses one sensor to acquire all signals and then applies ICA to separate them. This multi-functional approach improves measurement precision through comprehensive signal capture while avoiding the complexity of multiple dedicated sensors.
Data Source
AI summary
A biological information measuring device comprises: a plurality of sensors that each acquire a base signal containing biological information and noise information; and a processing device that acquires biological information on the basis of a plurality of base signals. The processing device comprises: a component analysis part that performs a prescribed component analysis on the basis of the plurality of base signals and generates a plurality of component signals which constitute the plurality of base signals; and a biological information acquisition part that determines whether a component signal is biological information.