A novel machine learning framework for automated detection of arrhythmias in ECG segments

The Hanh Pham; Vinitha Sree; John Mapes; Sumeet Dua; Oh Shu Lih; Joel E.W. Koh; Edward J. Ciaccio; U. Rajendra Acharya

doi:10.1007/s12652-020-02779-1

A novel machine learning framework for automated detection of arrhythmias in ECG segments

The Hanh Pham
, Vinitha Sree
, John Mapes
, Sumeet Dua
, Oh Shu Lih
, Joel E.W. Koh
, Edward J. Ciaccio
, U. Rajendra Acharya

Ngee Ann Polytechnic
Cyrcadia Health
Louisiana Tech University
Columbia University
Asia University
Singapore University of Social Sciences
Kumamoto University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	10145-10162
Number of pages	18
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume	12
Issue number	11
DOIs	https://doi.org/10.1007/s12652-020-02779-1
State	Published - Nov 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General Computer Science

Keywords

Arrhythmia
Atrial fibrillation
Atrial flutter
Cumulant
Electrocardiogram
Machine learning
Non-linear features
Ventricular fibrillation

Access to Document

10.1007/s12652-020-02779-1

Cite this

@article{7b6ab8be4cea401f92e9fbe10a8584be,

title = "A novel machine learning framework for automated detection of arrhythmias in ECG segments",

keywords = "Arrhythmia, Atrial fibrillation, Atrial flutter, Cumulant, Electrocardiogram, Machine learning, Non-linear features, Ventricular fibrillation",

author = "Pham, \{The Hanh\} and Vinitha Sree and John Mapes and Sumeet Dua and Lih, \{Oh Shu\} and Koh, \{Joel E.W.\} and Ciaccio, \{Edward J.\} and Acharya, \{U. Rajendra\}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.",

year = "2021",

month = nov,

doi = "10.1007/s12652-020-02779-1",

language = "English",

volume = "12",

pages = "10145--10162",

journal = "Journal of Ambient Intelligence and Humanized Computing",

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TY - JOUR

T1 - A novel machine learning framework for automated detection of arrhythmias in ECG segments

AU - Pham, The Hanh

AU - Sree, Vinitha

AU - Mapes, John

AU - Dua, Sumeet

AU - Lih, Oh Shu

AU - Koh, Joel E.W.

AU - Ciaccio, Edward J.

AU - Acharya, U. Rajendra

PY - 2021/11

Y1 - 2021/11

KW - Arrhythmia

KW - Atrial fibrillation

KW - Atrial flutter

KW - Cumulant

KW - Electrocardiogram

KW - Machine learning

KW - Non-linear features

KW - Ventricular fibrillation

UR - https://www.scopus.com/pages/publications/85099904978

UR - https://www.scopus.com/pages/publications/85099904978#tab=citedBy

U2 - 10.1007/s12652-020-02779-1

DO - 10.1007/s12652-020-02779-1

M3 - Article

AN - SCOPUS:85099904978

SN - 1868-5137

VL - 12

SP - 10145

EP - 10162

JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

IS - 11

ER -

A novel machine learning framework for automated detection of arrhythmias in ECG segments

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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