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Facilities for digital pattern recognition: an ECG detective trick
Computer Methods and Programs in Biomedicine
|January 1, 1988
Summary
This study introduces a novel digital pattern recognition algorithm for physicians, achieving high accuracy in detecting electrocardiogram (ECG) waves like R-waves and P-T patterns. The algorithm demonstrates efficiency and reliability for clinical applications.
Area of Science:
- Biomedical Engineering
- Medical Informatics
- Signal Processing
Background:
- Physicians require advanced digital pattern recognition algorithms for accurate signal analysis.
- Existing algorithms often lack the necessary recognition, accuracy, reliability, and flexibility for diverse signal time-courses.
Purpose of the Study:
- To develop and evaluate a microcomputer-based algorithm for digital pattern recognition in medical signals.
- To assess the algorithm's performance in recognizing specific electrocardiogram (ECG) waves, including R-waves and P-T patterns.
Main Methods:
- The algorithm utilizes Walsh-transformation of signal sections combined with in-image judging.
- Implementation was performed on a Z80 microprocessor and a Z8 single-chip computer.
Main Results:
- The algorithm achieved a 98.8% recognition ratio for R-waves with a 2.3% failure rate.
- An initial common P-T pattern was recognized in 80.3% of cases with a 4.9% failure rate.
- The algorithm demonstrated efficiency in solving simple tasks and recognizing complex ECG patterns.
Conclusions:
- The developed microcomputer algorithm offers a flexible and reliable solution for digital pattern recognition in medical signals.
- The algorithm's high accuracy in recognizing ECG waves supports its potential clinical utility for physicians.