Title :
Quick QRS Complex Detection for On-Line ECG and Holter Systems
Author :
Szilágyi, László ; Szilágyi, Sándor M. ; Frigy, Attila ; László, Sándor E. ; Görög, Levente K. ; Benyó, Zoltán
Author_Institution :
Dept. of Control Eng. & Inf. Tech., Budapest Univ. of Tech. & Econ.
Abstract :
This paper presents a new QRS complex detection algorithm that can be applied in various on-line ECG processing systems. The algorithm is performed in two steps: first a wavelet transform filtering is applied to the signal, then QRS complex localization is performed using a maximum detection and peak classification algorithm. The algorithm has been tested in two phases. First the QRS detection in ECG registrations from the MIT-BIH database has been performed, which led to an average detection ratio of 99.5%. Then, the algorithm has been implemented into a microcontroller-driven portable Holter device
Keywords :
electrocardiography; filtering theory; medical signal detection; medical signal processing; signal classification; wavelet transforms; ECG registration; QRS complex localization; microcontroller-driven portable Holter device; on-line ECG processing systems; peak classification algorithm; quick QRS complex detection; wavelet transform filtering; Classification algorithms; Control engineering; Databases; Detection algorithms; Electrocardiography; Filtering algorithms; Information technology; Testing; Time domain analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615315
