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Title: | Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea | Authors: | Van Steenkiste, Tom Groenendaal, Willemijn Ruyssinck, Joeri DREESEN, Pauline Klerkx, Susie SMEETS, Christophe de Francisco, Ruben Deschrijver, Dirk Dhaene, Tom |
Issue Date: | 2018 | Publisher: | IEEE | Source: | 2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), IEEE, p. 449 -452 | Series/Report: | IEEE Engineering in Medicine and Biology Society Conference Proceedings | Abstract: | Sleep apnea is one of the most common sleep disorders. It is characterized by the cessation of breathing during sleep due to airway blockages (obstructive sleep apnea) or disturbances in the signals from the brain (central sleep apnea). The gold standard for diagnosing sleep apnea is performing an overnight polysomnography recording which contains, among others, a wide array of respiratory signals. Respiration information can also be extracted from other physiological signals such as an electrocardiogram or from a bio-impedance measurement on the chest. Studies have shown that algorithms can be developed for automated sleep apnea detection using one of these many respiratory signals. In this work, the predictive power of these different respiratory signals is analyzed and compared. The results provide useful insights into the comparative predictive power of the different respiratory signals in a realistic setting for automated sleep apnea detection and provide a basis for the development of less obtrusive measurement techniques. | Keywords: | Adult;Aged;Algorithms;Electrocardiography;Female;Humans;Male;Middle Aged;Respiration;Sleep Apnea Syndromes;Sleep Apnea, Central;Sleep Apnea, Obstructive;Polysomnography | Document URI: | http://hdl.handle.net/1942/38654 | ISBN: | 978-1-5386-3646-6 | DOI: | 10.1109/EMBC.2018.8512307 | ISI #: | WOS:000596231900101 | Rights: | 2018 IEEE | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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