Pulse Meter Adaptive Filter Body Motion Removal
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Solution Overview
Problem
Conventional pulse meters struggle to accurately remove body motion components from pulse signals during walking or running, especially when these components do not have cyclic characteristics, leading to incorrect pulse determination.
Innovation Solution
A pulse measurement device equipped with a pulse wave detecting section, a body motion component removing section, and a pulse rate calculating section, utilizing triaxial acceleration sensors and adaptive filters to detect and subtract body motion components from pulse wave signals, ensuring accurate pulse rate calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If body motion components are removed using frequency analysis and harmonic component removal, then pulse wave signals can be processed, but body motion components without cyclic characteristics cannot be completely removed
Solution Approach 1:
The patent replaces the conventional frequency analysis method with an adaptive filter that uses acceleration sensor data to model and subtract body motion components from the pulse wave signal. This substitution allows the system to remove non-cyclic body motion components that frequency analysis cannot eliminate, thereby improving both the completeness of motion removal and pulse measurement accuracy.
Solution Approach 2:
The patent introduces an acceleration sensor as an intermediary device to detect body motion separately. The detected acceleration data serves as a reference signal that the adaptive filter uses to identify and remove corresponding body motion components from the pulse wave signal, enabling more complete removal of motion artifacts including non-cyclic components.
2Productivity
If conventional pulse meters are used during walking or running, then pulse measurement is possible, but body motion components interfere with accurate pulse determination
Solution Approach 1:
The patent employs an adaptive filter that continuously adjusts its parameters based on real-time acceleration sensor data. The filter uses feedback from the acceleration signal to dynamically model and subtract body motion components from the pulse wave signal, maintaining accurate pulse measurement even during vigorous activities like running where body motion is significant.
Solution Approach 2:
The patent replaces the inadequate frequency-based motion removal method with an adaptive filtering system that uses acceleration data to directly model and subtract body motion components. This substitution enables reliable pulse measurement during walking and running by effectively separating motion artifacts from the actual pulse signal.
Data Source
AI summary
The present invention realizes calculating a pulse rate accurately, even when a body movement component has no periodical characteristics, by surely removing the body movement component generated in a living organism from a pulse wave component. A pulse wave detecting section includes a pulse wave sensor and outputs a pulse wave detection signal to an MPU functioning as a body motion component removing section. A body motion sensor outputs a body motion detection signal corresponding to a body motion that affects the behavior of venous blood to the MPU. As a result, to the MPU removes the body motion component from the pulse wave detection signal based on the body motion detection signal. A pulse rate calculating section calculates the pulse rate based on the pulse wave detection signal from which the body motion component has been removed. The pulse rate is displayed on a liquid crystal display device.