Title :
A real-time QRS detection and delineation algorithm based on the inflection angle of the ECG waveform
Author :
Hsiung, Hsiao-Shu ; Cheng, Cheng-Rung ; Jan, Gvo-Jen
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
A fast and accurate algorithm is developed for the detection and delineation of QRS complexes. This algorithm uses an efficient data compression scheme to reduce the number of processing points. Easy implementation, accurate delineation, fast execution speed, baseline ignored, and no adaptive threshold values are the advantages of using the inflection angle. The average time to detect and delineate one QRS complex is 0.25 s on a PC/AT. Results of successful application of this algorithm to five typical arrhythmia cases in the presence of noise, muscle artefact, baseline drift, and morphology changes are presented
Keywords :
computerised signal processing; electrocardiography; ECG waveform inflection angle; PC/AT; QRS delineation algorithm; arrhythmia cases; baseline drift; data compression; morphology changes; muscle artefact; noise; real-time QRS detection; Algorithm design and analysis; Biomedical engineering; Change detection algorithms; Data compression; Detectors; Electrocardiography; Humans; Morphology; Muscles; Sampling methods;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95619
