Biosignal time-series analysis

Serkan Kiranyaz; Turker Ince; Muhammad E.H. Chowdhury; Aysen Degerli; Moncef Gabbouj

doi:10.1016/B978-0-32-385787-1.00024-5

Biosignal time-series analysis

Serkan Kiranyaz, Turker Ince, Muhammad E.H. Chowdhury, Aysen Degerli, Moncef Gabbouj

Not published at VTT

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

3 Citations (Scopus)

Abstract

In 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.

Original language	English
Title of host publication	Deep Learning for Robot Perception and Cognition
Editors	Alexandros Iosifidis, Anastasios Tefas
Publisher	Academic Press
Chapter	14
Pages	491-539
Number of pages	49
ISBN (Electronic)	9780323857871
ISBN (Print)	9780323885720
DOIs	https://doi.org/10.1016/B978-0-32-385787-1.00024-5
Publication status	Published - 1 Jan 2022
MoE publication type	A3 Part of a book or another research book

Keywords

Deep learning
Arrhythmia detection
Myocardial infarction
COVID-19
Mortality risk prediction

Access to Document

10.1016/B978-0-32-385787-1.00024-5

Cite this

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abstract = "In 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.",

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AU - Ince, Turker

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AU - Degerli, Aysen

AU - Gabbouj, Moncef

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KW - COVID-19

KW - Mortality risk prediction

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Biosignal time-series analysis

Abstract

Keywords

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