NONLINEAR TRANSFORMS OF ECG SIGNALS FOR DIGITAL QRS DETECTION - A QUANTITATIVE-ANALYSIS

A class of algorithms has been developed which detects QRS complexes i n the electrocardiogram (ECG). The algorithms employ nonlinear transfo rms derived from multiplication of backward differences (MOBD). The al gorithms are evaluated with the American Heart Association ECG databas e, and comparisons are made with the algorithms reported by Okada and by Hamilton and Tompkins. The MOBD algorithms provide a good performan ce tradeoff between accuracy and response time, making this type of al gorithm desirable for real-time microprocessor-based implementation.