title: Quick QRS Complex Detection for On-Line ECG and Holter Systems.
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.
authors.affiliation: 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).
authors.forename: Laszlo
authors.initials: L
authors.lastname: Szilagyi
authors.forename: Sandor
authors.initials: S
authors.lastname: Szilagyi
authors.forename: Attila
authors.initials: A
authors.lastname: Frigy
authors.forename: Sandor
authors.initials: S
authors.lastname: Laszlo
authors.forename: Levente
authors.initials: L
authors.lastname: Gorog
authors.forename: Zoltan
authors.initials: Z
authors.lastname: Benyo