Adaptive Bio-Signal Feature Combining for Blood Pressure Estimation
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Solution Overview
Problem
Current wearable devices for monitoring cardiovascular health, such as blood pressure, face challenges in accurately estimating blood pressure using bio-signals due to instability in measurement intervals and the need for precise feature combination from multiple signal types.
Innovation Solution
An adaptive bio-signal feature combining apparatus and method that extracts first and second feature values from bio-signals, determines stable intervals using acceleration or gyro sensors, calculates statistical variables, and combines these features using an integrated combining coefficient to enhance blood pressure estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple bio-signal features are combined to improve blood pressure estimation accuracy, then measurement precision is improved, but device complexity increases due to the need for stable interval determination and feature combination mechanisms
Solution Approach 1:
The bio-signal processing is divided into distinct functional modules: feature extraction unit, stable interval determination unit, statistical variable calculation unit, and feature combination unit. Each module handles a specific aspect of the processing pipeline, making the complex system more manageable and implementable in wearable devices
Solution Approach 2:
The system performs preliminary determination of stable intervals before combining features. By identifying and isolating stable measurement intervals in advance, the system ensures that only reliable data segments are used for blood pressure estimation, improving accuracy while maintaining systematic complexity control
2Adaptability or versatility
If feature extraction is performed continuously to capture physiological changes, then adaptability is improved, but measurement stability deteriorates due to signal fluctuations during unstable intervals
Solution Approach 1:
The system dynamically adjusts the processing pipeline by determining stable intervals in real-time based on signal characteristics. The stable interval determination unit continuously evaluates signal stability and adapts the feature extraction and combination processes accordingly, allowing the system to respond to changing physiological conditions while maintaining measurement reliability during stable periods
Solution Approach 2:
The system extracts and isolates only the stable intervals from the continuous bio-signal stream for feature extraction and combination. By separating stable measurement segments from unstable portions, the system achieves adaptability to physiological changes while maintaining measurement stability through selective processing of reliable data segments
Data Source
AI summary
An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.