Biosignal Quality Evaluation Using Frequency-Domain Spectral Morphology
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Solution Overview
Problem
Existing methods for evaluating biosignal quality, such as signal-to-noise ratio (SNR), are inadequate for biosignals due to difficulties in defining alternating current (AC) and direct current (DC) components, making it challenging to assess biosignal quality accurately in real-world environments.
Innovation Solution
A device and method that normalize biosignals, convert them into the frequency domain, and extract morphological features to evaluate quality by dividing the spectrum into regions and using morphological features like maximum, minimum, skewness, and frequency band ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If signal-to-noise ratio (SNR) is used to evaluate biosignal quality, then evaluation can be performed using conventional methods, but accurate quality assessment becomes difficult due to inability to define AC and DC components in biosignals
Solution Approach 1:
The patent transforms the quality evaluation from time domain parameters (AC/DC ratio) to frequency domain parameters (spectral morphology features). By converting biosignals to frequency domain and analyzing spectral characteristics such as peak frequency, bandwidth, and spectral entropy, the method enables accurate quality assessment without needing to define ambiguous AC/DC components in biosignals.
2Object-affected harmful factors
If filtering techniques are applied to remove noise from biosignals, then noise reduction can be achieved, but signal quality evaluation remains challenging due to lack of appropriate metrics
Solution Approach 1:
The patent implements a feedback mechanism where spectral morphology features are extracted from filtered biosignals to evaluate the effectiveness of noise removal. By continuously monitoring frequency domain characteristics such as spectral power distribution and morphological features, the system provides feedback on signal quality, enabling adaptive filtering and accurate quality assessment.
3Device complexity
If conventional SNR calculation methods are used, then evaluation process is simple, but the method is inappropriate for actual biosignal measurement environments
Solution Approach 1:
The patent moves the evaluation from one-dimensional time domain analysis to two-dimensional frequency domain analysis. By examining spectral morphology across different frequency components and extracting multiple features (peak frequency, bandwidth, spectral entropy), the method provides more reliable quality assessment that accounts for the complex characteristics of biosignals in actual measurement environments.
Data Source
AI summary
Provided are a device and method for evaluating quality of a biosignal. The device includes a processor and a memory which stores instructions executed by the processor. The processor normalizes a biosignal and converts the normalized biosignal into a frequency domain, extracts a morphological feature of a spectrum in the frequency domain, and evaluates quality of the biosignal on the basis of the morphological feature.