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AuthorKiranyaz, Serkan
AuthorInce, Turker
AuthorChowdhury, Muhammad E.H.
AuthorDegerli, Aysen
AuthorGabbouj, Moncef
Available date2023-04-17T06:57:44Z
Publication Date2022
Publication NameDeep Learning for Robot Perception and Cognition
ResourceScopus
URIhttp://dx.doi.org/10.1016/B978-0-32-385787-1.00024-5
URIhttp://hdl.handle.net/10576/41965
AbstractIn this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate the arrhythmic beats from the normal (healthy) beats of an individual patient. So, we will answer the ultimate question of how to design person-specific, real-time, and accurate monitoring of ECG signals. We shall then move on to the recent solution of a related problem, an early warning system that can alert an individual the instant his/her heart deviates from its normal rhythm. This is a far challenging problem since the detection of the arrhythmia beats should be performed without knowing them. 2022 Elsevier Inc. All rights reserved.
Languageen
PublisherElsevier
SubjectArrhythmia detection
COVID-19
Deep learning
Mortality risk prediction
Myocardial infarction
TitleBiosignal time-series analysis
TypeBook chapter
Pagination491-539
dc.accessType Abstract Only


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