Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals-Reference-Cited by-同舟云学术

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Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals

Published:2019-05 Issue: Volume:108 Page:20-30
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Viswabhargav ChS.S.S.,Tripathy R.K.,Acharya U. Rajendra

Funder

research initiation grant (RIG), BITS Pilani Hyderabad campusresearch initiation grant (RIG), BITS Pilani Hyderabad campus

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference75 articles.

1. Association of nocturnal arrhythmias with sleep-disordered breathing: the sleep heart health study;Mehra;Am. J. Respir. Crit. Care Med.,2006

2. Long-term outcome for obstructive sleep apnea syndrome patients: mortality;Partinen;Chest,1988

3. Lung Function in Patients with Obstructive Sleep Apnoea;Vukoja,2017

4. A review of ecg-based diagnosis support systems for obstructive sleep apnea;Faust;J. Mech. Med. Biol.,2016

5. Obstructive sleep apnea hypopnea syndrome;Mbata;Ann. Med. Health Sci. Res.,2012

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