Detection of Abnormal Respiratory Events with Single Channel ECG and Hybrid Machine Learning Model in Patients with Obstructive Sleep Apnea-Reference-Cited by-同舟云学术

Detection of Abnormal Respiratory Events with Single Channel ECG and Hybrid Machine Learning Model in Patients with Obstructive Sleep Apnea

Published:2020-10 Issue:5 Volume:41 Page:241-251
ISSN:1959-0318
Container-title:IRBM
language:en
Short-container-title:IRBM

Author:

Bozkurt F.,Uçar M.K.,Bozkurt M.R.,Bilgin C.

Funder

Sakarya University

Ministry of Health Turkey

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference35 articles.

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3. Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques;Uçar;Neural Comput Appl,2017

4. Rules for scoring respiratory events in sleep: update of the 2007 AASM manual for the scoring of sleep and associated events. Deliberations of the sleep apnea definitions task force of the American academy of sleep medicine;Berry;J Clin Sleep Med,2012

5. Use of a portable monitoring device (Somnocheck Micro) for the investigation and diagnosis of obstructive sleep apnoea in comparison with polysomnography;Bilgin;Pak J Med Sci,2016

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