Biosignal Time-Series Analysis

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Date

2022

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Volume Title

Publisher

Elsevier

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Green Open Access

Yes

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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. © 2022 Elsevier Inc. All rights reserved.

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Keywords

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

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OpenCitations Citation Count
2

Source

Deep Learning for Robot Perception and Cognition

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Issue

Start Page

491

End Page

539
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CrossRef : 2

Scopus : 4

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Mendeley Readers : 7

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4

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2

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