Oscillometric Envelope Characteristic Point Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current bio-signal monitoring technologies face challenges in accurately detecting characteristic points from oscillometric waveforms, particularly due to noise and baseline changes, which can lead to inaccurate estimation of bio-information such as blood pressure.
Innovation Solution
An apparatus and method that utilize a processor to remove baseline changes from oscillometric waveforms in both forward and reverse directions, combine the resulting envelopes, and detect characteristic points based on area information to enhance the accuracy of bio-signal analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If baseline change removal is applied in both forward and reverse directions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The baseline change removal process is segmented into two distinct operations: forward direction processing and reverse direction processing. Each direction applies the baseline change function independently to the oscillometric waveform envelope, allowing the complex task of accurate baseline removal to be divided into manageable segments that can be combined for improved precision
Solution Approach 2:
The results from forward direction baseline removal and reverse direction baseline removal are merged through combination functions (multiplication, weighted sum, or weighted multiplication). This merging of multiple processing results enhances measurement precision by compensating for directional biases while systematically managing the processing complexity through defined combination operations
2Reliability
If multiple envelope processing operations are performed, then reliability of characteristic point detection is improved, but loss of time increases
Solution Approach 1:
The baseline change function is applied in advance in both forward and reverse directions to remove baseline drift before characteristic point detection. This preliminary action prepares the oscillometric waveform envelope by eliminating systematic errors, ensuring that subsequent characteristic point detection operates on pre-conditioned data, thereby improving reliability without requiring additional corrective operations later
Solution Approach 2:
The method applies baseline change removal excessively by performing it in both forward and reverse directions, and optionally applying combination functions that may involve weighted operations. This excessive action ensures thorough baseline removal and improves detection reliability, while the processing time overhead is managed by using efficient mathematical operations and selecting appropriate combination functions based on specific application requirements
Data Source
AI summary
Provided is an apparatus for detecting a characteristic point to non-invasively estimate bio-information by analyzing a pulse waveform. The apparatus for detecting a characteristic point may include a bio-signal sensor that may obtain a bio-signal from an object, and a processor configured to obtain a first envelope by removing a first baseline change from an oscillometric waveform envelope of the bio-signal; obtain a second envelope by removing a second baseline change from the oscillometric waveform envelope of the bio-signal; obtain a third envelope based on the first envelope and the second envelope; and detect the characteristic point from the oscillometric waveform envelope based on the third envelope.