S. Suppappola et Y. Sun, NONLINEAR TRANSFORMS OF ECG SIGNALS FOR DIGITAL QRS DETECTION - A QUANTITATIVE-ANALYSIS, IEEE transactions on biomedical engineering, 41(4), 1994, pp. 397-400
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.