Identification of patients with preeclampsia from normal subjects using wavelet-based spectral analysis of heart rate variability-Reference-Cited by-同舟云学术

Identification of patients with preeclampsia from normal subjects using wavelet-based spectral analysis of heart rate variability

Published:2017-08-09 Issue:4 Volume:25 Page:641-649
ISSN:0928-7329
Container-title:Technology and Health Care
language:
Short-container-title:THC

Author:

Hossen A.¹,Barhoum A.¹,Jaju D.²,Gowri V.³,Al-Hashmi K.²,Hassan M.O.²,Al-Kharusi L.³

Affiliation:

1. Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Al Khoudh, Oman

2. Department of Physiology, College of Medicine, Sultan Qaboos University, Al Khoudh, Oman

3. Department of Obstetrics and Gynecology, College of Medicine, Sultan Qaboos University, Al Khoudh, Oman

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference16 articles.

1. Preeclamptic pregnancy is associated with increased sympathetic and decreased parasympathetic control of HR;Yang;Am J Physiol Heart Circ Physiol,2000

2. Autonomic nervous dysfunction in severe pre-eclampsia;Airaksinen;Eur J Obstet Gynecol Reprod Biol,1985

3. Altered heart rate baroreflex during pregnancy: Role of sympathetic and parasympatheticnervous systems;Brooks;Am J Physiol,1997

4. Sympathetic nerve discharge in normal pregnancy and pregnancy-induced hypertension;Greenwood;J Hypertens,1998

5. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996; 17: 354-381.

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