Title :
A QRS detection algorithm for discriminating artifacts in ECG records
Author :
Kejariwal, Murari L.
Author_Institution :
Dept. of Electr. Eng., Montana State Univ., Bozeman, MT, USA
Abstract :
A simple and efficient algorithm has been developed to detect QRS complexes at high speed (approximately 32 times real-time speed) from the single-channel digitized ECG (electrocardiogram) data records. This algorithm discriminate QRS complexes against various artifacts, including those due to tape-recorder amplifier saturation. Attenuation of noise (60-Hz power-line frequency) is obtained in a systematic way by a suitable differentiation procedure. This algorithm successfully discriminates muscle artifacts from the distortion due to amplifier saturation. The QRS detection program has less than 5.2% misses and less than 3.9% false detects under extreme conditions. These errors are reduced to a negligible value in relatively artifact-free records
Keywords :
computerised signal processing; electrocardiography; 60 Hz; ECG records; QRS detection algorithm; amplifier saturation; distortion; muscle artifacts; noise attenuation; power-line frequency; Detection algorithms; Digital filters; Electrocardiography; Electrodes; Filtering; Frequency; Matched filters; Muscles; Pollution measurement; Time measurement;
Conference_Titel :
Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
Conference_Location :
Boston, MA
DOI :
10.1109/NEBC.1989.36783
