Quick QRS Complex Detection for On-Line ECG and Holter Systems.
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.
Szilagyi
Laszlo
L
Department of Control Engineering and Information Technology, Budapest University of Technology and Economics, Magyar tudósok krt. 2, 1117 Budapest, Hungary (phone: + 361-463- 4027; fax: + 361-463-2204; e-mail: lazacika@yahoo. com).
Szilagyi
Sandor
S
Frigy
Attila
A
Laszlo
Sandor
S
Gorog
Levente
L
Benyo
Zoltan
Z