Abstract
A novel method for the automatic diagnosis of obstructive sleep apnea (OSA) from an electrocardiogram (ECG) is presented. This method aims to detect OSA utilizing exclusively ECG recordings during sleep and present a minute-by-minute signal processing technique. In the proposed algorithm, a wide range of features based on heart rate variability (HRV) and ECG-derived respiratory (EDR) signals are considered. The novelty of this study arises from employing bispectral analysis to the HRV and EDR signals in order to illustrate quadratic phase-coupling that can be observed among signal components with different frequencies. From this perspective, in the proposed algorithm, a new feature set based on a higher order spectrum of HRV and EDR signals is introduced and it is utilized to extract information regarding their non-linearity and non-Gaussianity. This feature vector is then fed into the input of a least-square support vector machine classifier. To implement the proposed method, the apnea-ECG database, which contains 70 nocturnal ECG records gathered from volunteer men and women, is used in this work. Results obtained from cross-validating 35 data records show that the normal recordings could be separated from the apneic recordin...Continue Reading
References
Nov 1, 1995·European Heart Journal·P W Armstrong, M J Mant
Jul 12, 2001·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·G B MoodyA L Goldberger
Apr 16, 2002·European Journal of Gastroenterology & Hepatology·Edouard LouisMichel Deltenre
Jul 23, 2002·Lancet·Atul Malhotra, David P White
Jun 20, 2003·IEEE Transactions on Bio-medical Engineering·Philip de ChazalMark O'Malley
Nov 13, 2004·Physiological Measurement·Rajendra Acharya US M Krishnan
Nov 16, 2005·IEEE Transactions on Bio-medical Engineering·Labib KhadraSaed Binajjaj
Jul 13, 2006·IEEE Transactions on Bio-medical Engineering·Raquel BailónPablo Laguna
Nov 18, 2006·Medical & Biological Engineering & Computing·U Rajendra AcharyaJasjit S Suri
Aug 28, 2009·IEEE Transactions on Bio-medical Engineering·Martin O MendezThomas Penzel
Sep 25, 2009·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Ahsan H KhandokerMarimuthu Palaniswami
Jan 21, 2010·Physiological Measurement·M O MendezA M Bianchi
May 15, 2010·Medical Engineering & Physics·Kuang Chua ChuaChoo Min Lim
Aug 13, 2010·Journal of Medical Systems·María J LadoPaulo Félix
Aug 13, 2010·Journal of Medical Systems·Kuang Chua ChuaC M Lim
Aug 25, 2010·Computer Methods and Programs in Biomedicine·Maryam Mohebbi, Hassan Ghassemian
Oct 19, 2010·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Majdi BsoulLakshman Tamil
Dec 23, 2011·Journal of Clinical Monitoring and Computing·Jayavardhana GubbiMarimuthu Palaniswami
Dec 24, 2011·Medical & Biological Engineering & Computing·K KesperW Cassel
Apr 17, 2013·American Journal of Epidemiology·Paul E PeppardKhin Mae Hla
Jul 12, 2014·IEEE Journal of Biomedical and Health Informatics·Hoa Dinh NguyenBruce Allen Benjamin
Aug 5, 2014·Annals of Internal Medicine·Amir QaseemUNKNOWN Clinical Guidelines Committee of the American College of Physicians
Citations
May 27, 2016·Computers in Biology and Medicine·Changqing ChengHui Yang
Jul 27, 2018·Physiological Measurement·Diego R MazzottiThomas Penzel
Jan 12, 2019·Physiological Reports·Amit LehaviAeyal Raz
Dec 22, 2019·Sensors·Olivia Vargas-LopezCarlos A Perez-Ramirez
Jul 30, 2020·Sensors·Hung-Yu ChangChun-Cheng Lin
Aug 15, 2019·Sleep & Breathing = Schlaf & Atmung·Mi LuYongxiang Wei
Jan 2, 2021·Computers in Biology and Medicine·Verónica Barroso-GarcíaRoberto Hornero
Jan 11, 2021·Computers in Biology and Medicine·Kandala N V P S RajeshT Sunil Kumar
Aug 28, 2021·Entropy·Adrián Martín-MonteroRoberto Hornero
Dec 25, 2020··Lijuan ShangQunxia Gao