Biosignal Feature Point Extraction Using Pulse Direction Detection
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Solution Overview
Problem
Current biosignal processing methods face challenges in accurately extracting feature points from biosignals, particularly in mobile healthcare settings, due to noise and signal inversion caused by user movement, which affects the reliability and resource efficiency of health monitoring.
Innovation Solution
A biosignal processing method that extracts reference points from waveforms, determines pulse direction based on pulse sharpness levels, and identifies feature points using adaptive threshold values, allowing for robust and rapid feature extraction despite noise and signal fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional biosignal processing methods are used to extract feature points, then the process is simple, but the accuracy deteriorates due to noise and signal inversion caused by user movement
Solution Approach 1:
The patent applies preliminary action by determining the pulse direction before extracting feature points. The processor determines whether the biosignal waveform is inverted based on reference points (such as peak and valley points) before proceeding with feature point extraction. This preliminary determination allows the system to adapt the extraction algorithm accordingly, improving accuracy without requiring complex real-time adjustments during the extraction process itself.
2Reliability
If complex processing methods are used to handle noise and signal inversion, then the accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent implements dynamics by making the feature point extraction process adaptive to the determined pulse direction. When the waveform is determined to be inverted, the system dynamically adjusts the extraction criteria and parameter ranges accordingly. This dynamic adaptation allows the system to maintain high reliability under varying signal conditions without requiring separate complex processing pipelines for each scenario.
Solution Approach 2:
The patent applies parameter changes by adjusting the feature point extraction parameters based on the determined pulse direction. Specifically, when an inverted waveform is detected, the system modifies the amplitude thresholds, time intervals, and signal characteristics used for identifying feature points. This parameter adaptation enables accurate feature extraction from inverted waveforms while keeping the overall processing framework relatively simple.
3Reliability
If adaptive feature point extraction is implemented to handle signal variations, then the reliability improves, but the processing time increases
Solution Approach 1:
The patent reduces processing time by performing the pulse direction determination quickly as a preliminary step using simple reference point detection. By establishing the waveform direction early in the process, the system can then proceed with optimized feature point extraction tailored to that direction, rather than using a generic slower approach that must account for all possible waveform variations. This preliminary classification enables more efficient subsequent processing.
Data Source
AI summary
A method and apparatus for processing a biosignal is disclosed. The apparatus may extract reference points from a waveform of a biosignal, determine a pulse direction of the biosignal based on the extracted reference points, and determine a feature point of the biosignal based on a feature point determining method corresponding to the determined pulse direction of the biosignal.