title: Adaptive rule based fetal QRS complex detection using Hilbert transform.
abstract: In this paper we introduce an adaptive rule based QRS detection algorithm using the Hilbert transform (adHQRS) for fetal magnetocardiography processing. Hilbert transform is used to combine multiple channel measurements and the adaptive rule based decision process is used to eliminate spurious beats. The algorithm has been tested with a large number of datasets and promising results were obtained.
authors: Graduate Institute of Technology, University of Arkansas at Little Rock, AR 72204, USA.
authors: Umit D
authors: UD
authors: Ulusar
authors: R B
authors: RB
authors: Govindan
authors: James D
authors: JD
authors: Wilson
authors: Curtis L
authors: CL
authors: Lowery
authors: Hubert
authors: H
authors: Preissl
authors: Hari
authors: H
authors: Eswaran
mesh_terms: D000465:Algorithms; D005260:Female; D005318:Fetal Heart / Q000502:physiology; D005323:Fetal Monitoring / Q000379:methods*; D006801:Humans; D053798:Magnetocardiography / Q000379:methods*; D011247:Pregnancy; D012815:Signal Processing, Computer-Assisted