Title :
A real-time automated arrhythmia detection system
Author :
Lee, Myoung Ho ; Yoon, Hung Ro ; Song, Hyang Bong
Author_Institution :
Yonsei Univ., Seoul, South Korea
Abstract :
The authors present the design of a real-time automated arrhythmia detection system using five diagnostic variables; heart rate, QRS width, morphology, axis deviation, and ST segment. This system is based on a 16-bit microcomputer and includes a bandpass filter, ECG amplifier, QRS detector, 12-bit A/D converter, preprocessor, and main processor. The arrhythmias obtained from two types of ECG simulators and 50 patients were analyzed using analog hardware and software algorithms, and results are given.<>
Keywords :
biomedical equipment; electrocardiography; medical diagnostic computing; 12-bit A/D converter; 16-bit microcomputer; ECG amplifier; ECG morphology; QRS detector; QRS width; ST segment; analog hardware; axis deviation; bandpass filter; diagnostic variables; heart rate; real-time automated arrhythmia detection system; software algorithms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
DOI :
10.1109/IEMBS.1988.95332
