Wavelet Transform Viewer for Pulse Oximetry Signal Analysis
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Solution Overview
Problem
Current pulse oximetry systems face challenges in accurately measuring blood oxygen saturation and pulse rate due to noise interference from ambient light, movement, and other sources, which degrades the signal quality and can lead to inaccurate physiological parameter measurements.
Innovation Solution
A wavelet transform viewer is developed to simultaneously display a signal and its wavelet transform, allowing for the selection and analysis of specific signal portions, which helps in noise reduction and extraction of physiological parameters like pulse rate and oxygen saturation by providing a higher resolution time-scale representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wavelet transform is applied to the signal, then noise reduction and signal quality improvement are achieved, but computational complexity increases
Solution Approach 1:
The patent segments the signal processing by applying wavelet transform to specific portions of the signal rather than the entire signal. The system identifies and processes distinct segments (e.g., pulse waves, baseline segments) separately, which reduces the computational burden while maintaining the noise reduction benefits of wavelet transformation.
Solution Approach 2:
The patent applies different processing qualities to different parts of the signal. By using wavelet transform locally on specific portions (such as only on pulse wave segments rather than continuous signal), the system achieves localized noise reduction where needed most, while avoiding unnecessary computation in stable baseline regions.
2Measurement precision
If the entire signal is processed, then complete analysis is achieved, but processing time increases
Solution Approach 1:
The system segments the signal into relevant portions (pulse waves, baseline segments, noise portions) and processes only those segments that require analysis. This selective processing approach maintains analysis completeness for critical features while significantly reducing overall processing time by skipping redundant processing of stable or already-characterized signal regions.
Solution Approach 2:
The patent performs preliminary identification and classification of signal portions before applying the wavelet transform. By pre-characterizing which segments are pulse waves, baseline, or noise, the system can efficiently direct computational resources only to segments requiring transformation, thereby reducing total processing time while maintaining comprehensive analysis.
Data Source
AI summary
Techniques for the display of a signal with a wavelet transform of that signal in a wavelet transform viewer are disclosed, according to embodiments. According to embodiments, the wavelet transform viewer can display a plot of physiological signals such as a photoplethysmograph (PPG) signal. A portion of the plot of the signal can be selected. A wavelet transform the selected portion of the signal can be calculated and a wavelet plot of the tranformed signal can be displayed simultaneously with that signal. A plot of the selected portion of the signal can also be simultaneously displayed with both the plot of the signal and the wavelet plot.