Title :
EKG waveform recognition procedure
Author :
Dwyer, Gene ; Noguchi, Yasuaki ; Szeto, Hazel H.
Author_Institution :
Dept. of Pharmacology, Cornell Univ. Med. Coll., New York, NY, USA
Abstract :
A fast, accurate, and robust EKG (electrocardiogram) waveform-recognition algorithm has been developed for a personal computer. The method uses the convolution of raw EKG data with one or more sample EKG waveform templates as a recognition signal. Recognition occurs when the convolution exceeds a user-defined reference level. This level can depend on the history of the recognition signal as well as on other physiological data
Keywords :
computerised pattern recognition; electrocardiography; medical computing; ECG waveform recognition algorithm; ECG waveform templates; data convolution; personal computer; user-defined reference level; Animals; Convolution; Educational institutions; Heart rate variability; History; Microcomputers; Robustness; Shape; Signal analysis; Signal processing;
Conference_Titel :
Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
Conference_Location :
Boston, MA
DOI :
10.1109/NEBC.1989.36782
