Biological Information Detection Using Spatial Motion Noise Sensing
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Solution Overview
Problem
Existing biological information detectors face challenges in accurately measuring vital data due to body motion noise, which reduces measurement accuracy and stability, and conventional noise reduction methods are inadequate when frequency bands of sensing data and body motion noise are close.
Innovation Solution
A biological information detector with multiple body motion information sensors arranged around a biological information sensor to estimate and remove body motion noise based on differences in noise levels, using a simple hardware configuration without complex signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional noise reduction methods are used, then measurement accuracy is improved to some extent, but the methods become inadequate when frequency bands of sensing data and body motion noise are close
Solution Approach 1:
The patent divides the noise reduction task into multiple independent sensor measurements. By placing multiple body motion sensors at different positions around the biological information sensor, the system segments the noise measurement process to capture noise characteristics from different spatial locations, enabling effective noise reduction even when frequencies are close.
Solution Approach 2:
The patent introduces a spatial dimension to noise reduction by measuring body motion noise at multiple positions around the biological information sensor. This transforms the noise reduction problem from a single-point frequency-based approach to a multi-point spatial approach, allowing differentiation between noise and signal based on spatial patterns rather than just frequency.
2Measurement precision
If multiple sensors are used to measure body motion at multiple positions, then body motion noise reduction is improved, but device complexity increases
Solution Approach 1:
The system segments the sensor array into multiple body motion sensors positioned around the biological information sensor. This segmentation allows each sensor to measure noise at its specific location, and the detector to combine these segmented measurements for comprehensive noise reduction while maintaining manageable system complexity through modular sensor placement.
Solution Approach 2:
The multiple body motion sensors serve multiple functions: they measure noise at different positions, provide spatial noise characteristics for accurate noise estimation, and enable the detector to distinguish between noise and signal. This multi-functionality justifies the additional sensors by delivering multiple benefits from each added component.
3Measurement precision
If complex signal processing is used to reduce body motion noise, then noise reduction effectiveness is improved, but processing complexity and time requirements increase
Solution Approach 1:
The system performs preliminary measurements of body motion noise at multiple positions around the biological information sensor. By capturing noise characteristics in advance from multiple spatial locations, the detector builds a comprehensive noise profile that simplifies subsequent noise reduction processing, avoiding the need for complex real-time signal processing.
Solution Approach 2:
The patent uses body motion sensors as copies or representations of the noise field. Instead of directly processing the complex mixed signal, the system creates simplified copies of the noise characteristics through separate body motion sensors, which then serve as templates for noise reduction, significantly simplifying the processing requirements.
Data Source
AI summary
A biological information detector includes multiple sensors to measure body motion of a body and output body motion information, a sensor between the multiple sensors to measure biological information of the body and output the biological information, and a detector. The detector detects the biological information based on the biological information output from the sensor and the body motion information output from the multiple sensors.