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The interpretation of continuous wave ultrasonic Doppler blood velocity signals viewed as a problem in pattern
Journal of Biomedical Engineering
|October 1, 1984
Insights
This study explores using pattern recognition to analyze ultrasonic Doppler waveforms for assessing patient circulation. Future systems could automate arterial assessments using these principles.
Area of Science:
- Biomedical Engineering
- Medical Signal Processing
- Cardiovascular Diagnostics
Background:
- Assessing patient circulation is crucial for diagnosis and treatment.
- Ultrasonic Doppler waveforms provide valuable hemodynamic information.
- Current analysis methods can be complex and time-consuming.
Purpose of the Study:
- To investigate the application of pattern recognition principles to ultrasonic Doppler waveform analysis.
- To explore the feasibility of developing an automated system for arterial assessment.
Main Methods:
- Examining each stage of pattern recognition as applied to Doppler signal analysis.
- Detailing the principles and potential algorithms for automated waveform interpretation.
Main Results:
- Pattern recognition offers a viable framework for interpreting Doppler signals.
- The analysis suggests that automated arterial assessment is a practical future goal.
Conclusions:
- Automated analysis of ultrasonic Doppler waveforms using pattern recognition is a promising approach.
- This methodology could lead to more efficient and objective arterial assessments.
Abstract:
The process of inferring the state of a patient's circulation from ultrasonic Doppler waveforms may be regarded as a problem in pattern recognition. In this article, each stage in the process, as it might be applied to the analysis of Doppler signals, is examined in turn and it is shown how an automatic on-line system for arterial assessment may one day be practical using such principles.