Title :
Adaptive rule based fetal QRS complex detection using hilbert transform
Author :
Ulusar, Umit D. ; Govindan, R.B. ; Wilson, James D. ; Lowery, Curtis L. ; Preissl, Hubert ; Eswaran, Hari
Author_Institution :
Grad. Inst. of Technol., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
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.
Keywords :
Hilbert transforms; adaptive signal detection; magnetocardiography; medical signal detection; obstetrics; Hilbert transform; adaptive rule based decision process; adaptive rule based fetal QRS complex detection; cardiac signal detection; fetal magnetocardiography processing; heart beat detection; multiple channel measurement; Algorithms; Female; Fetal Heart; Fetal Monitoring; Humans; Magnetocardiography; Pregnancy; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334180
