Bio-signal Quality Assessment via Moving Average Segmentation
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Solution Overview
Problem
Current bio-signal quality assessment methods are inefficient and do not effectively measure the quality of bio-signals in real-time, particularly for wearable devices, which affects the accuracy of measurements such as heart rate and blood pressure.
Innovation Solution
A bio-signal quality assessment apparatus that calculates a moving average of bio-signal samples, divides them into sections, and determines the number of samples above or below the average, using variance or standard deviation as a quality index, categorizing signal quality as high, moderate, or low based on predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex calculations such as Fourier transform and post-processing are performed to compute SNR, then signal quality assessment accuracy is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent extracts only the essential features needed for quality assessment from the complex signal. Instead of performing full Fourier transform and post-processing, it computes a simplified quality metric based on signal amplitude and frequency characteristics, removing unnecessary computational steps while retaining assessment accuracy
Solution Approach 2:
The patent inverts the traditional approach by not computing the full SNR through complex transformations, but rather directly assessing signal quality through simplified metrics that correlate with SNR, achieving the same goal through a reverse computational path
2Measurement precision
If real-time bio-signal quality assessment is implemented, then measurement accuracy is improved, but processing speed and efficiency requirements increase
Solution Approach 1:
The patent segments the bio-signal into discrete samples and processes them in sequential batches. By dividing the continuous signal stream into manageable segments and computing quality metrics for each segment independently, it enables real-time assessment without requiring excessive computational resources
Solution Approach 2:
The patent performs partial computation by calculating only the essential quality metrics needed for assessment rather than complete signal analysis. It computes simplified statistics such as amplitude ranges and frequency estimates without performing exhaustive transformations, achieving sufficient accuracy with reduced processing
Data Source
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AI summary
A bio-signal quality assessment apparatus, a bio-signal quality assessment method, a bio-signal measurement parameter optimization apparatus, and bio-signal measurement parameter optimization apparatus method are provided. The bio-signal quality assessment apparatus includes a processor configured to determine a moving average of a bio-signal, and assess a quality of the bio-signal, based on a comparison between the determined moving average and the bio-signal.