BD-ECG: identification of myocardial infarction in ECG via behavior coupling

Uzair Iqbal; Teh Ying Wah; Muhammad Habib Ur Rehman; Muhammad Bilal; Adeel Ahmed

doi:10.1145/3546157.3546169

BD-ECG: identification of myocardial infarction in ECG via behavior coupling

Uzair Iqbal
, Teh Ying Wah
, Muhammad Habib Ur Rehman
, Muhammad Bilal
, Adeel Ahmed

Institute for Research in Applicable Computing (IRAC)

National University of Computer and Emerging Science
University of Malaya
King's College London
Quaid-I-Azam University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In the cardiovascular diseases, early detection and identification of the relationship between different diseases are still open problems for cardiologists. In this paper, we propose a novel scheme for behavioral detection in electrocardiography data named as Behavioral detection-Electrography. The Behavioral detection-Electrography is used for early detection of abnormalities in electrography especially myocardial infarction. The Behavioral detection-Electrography embeds the two-tier architecture in which we integrate the behavioral relationship concepts with myocardial detection algorithm.

Original language	English
Title of host publication	ICISDM 2022 - 2022 6th International Conference on Information System and Data Mining
Publisher	Association for Computing Machinery
Pages	76-80
Number of pages	5
ISBN (Electronic)	9781450396257
DOIs	https://doi.org/10.1145/3546157.3546169
Publication status	Published - 22 Aug 2022
Event	6th International Conference on Information System and Data Mining, ICISDM 2022 - Virtual, Online, United States Duration: 27 May 2022 → 29 May 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference on Information System and Data Mining, ICISDM 2022
Country/Territory	United States
City	Virtual, Online
Period	27/05/22 → 29/05/22

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Behavioral detection electrocardiography and electrocardiography
behavioral theory
cardiovascular diseases
Myocardial infraction detection algorithm

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3546157.3546169

https://dl.acm.org/doi/10.1145/3546157.3546169

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Iqbal, U., Wah, T. Y., Ur Rehman, M. H., Bilal, M., & Ahmed, A. (2022). BD-ECG: identification of myocardial infarction in ECG via behavior coupling. In ICISDM 2022 - 2022 6th International Conference on Information System and Data Mining (pp. 76-80). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3546157.3546169

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title = "BD-ECG: identification of myocardial infarction in ECG via behavior coupling",

abstract = "In the cardiovascular diseases, early detection and identification of the relationship between different diseases are still open problems for cardiologists. In this paper, we propose a novel scheme for behavioral detection in electrocardiography data named as Behavioral detection-Electrography. The Behavioral detection-Electrography is used for early detection of abnormalities in electrography especially myocardial infarction. The Behavioral detection-Electrography embeds the two-tier architecture in which we integrate the behavioral relationship concepts with myocardial detection algorithm.",

keywords = "Behavioral detection electrocardiography and electrocardiography, behavioral theory, cardiovascular diseases, Myocardial infraction detection algorithm",

author = "Uzair Iqbal and Wah, \{Teh Ying\} and \{Ur Rehman\}, \{Muhammad Habib\} and Muhammad Bilal and Adeel Ahmed",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 6th International Conference on Information System and Data Mining, ICISDM 2022 ; Conference date: 27-05-2022 Through 29-05-2022",

year = "2022",

month = aug,

day = "22",

doi = "10.1145/3546157.3546169",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "76--80",

booktitle = "ICISDM 2022 - 2022 6th International Conference on Information System and Data Mining",

address = "United States",

}

Iqbal, U, Wah, TY, Ur Rehman, MH, Bilal, M & Ahmed, A 2022, BD-ECG: identification of myocardial infarction in ECG via behavior coupling. in ICISDM 2022 - 2022 6th International Conference on Information System and Data Mining. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 76-80, 6th International Conference on Information System and Data Mining, ICISDM 2022, Virtual, Online, United States, 27/05/22. https://doi.org/10.1145/3546157.3546169

BD-ECG: identification of myocardial infarction in ECG via behavior coupling. / Iqbal, Uzair; Wah, Teh Ying; Ur Rehman, Muhammad Habib et al.
ICISDM 2022 - 2022 6th International Conference on Information System and Data Mining. Association for Computing Machinery, 2022. p. 76-80 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - BD-ECG

T2 - 6th International Conference on Information System and Data Mining, ICISDM 2022

AU - Iqbal, Uzair

AU - Wah, Teh Ying

AU - Ur Rehman, Muhammad Habib

AU - Bilal, Muhammad

AU - Ahmed, Adeel

PY - 2022/8/22

Y1 - 2022/8/22

N2 - In the cardiovascular diseases, early detection and identification of the relationship between different diseases are still open problems for cardiologists. In this paper, we propose a novel scheme for behavioral detection in electrocardiography data named as Behavioral detection-Electrography. The Behavioral detection-Electrography is used for early detection of abnormalities in electrography especially myocardial infarction. The Behavioral detection-Electrography embeds the two-tier architecture in which we integrate the behavioral relationship concepts with myocardial detection algorithm.

AB - In the cardiovascular diseases, early detection and identification of the relationship between different diseases are still open problems for cardiologists. In this paper, we propose a novel scheme for behavioral detection in electrocardiography data named as Behavioral detection-Electrography. The Behavioral detection-Electrography is used for early detection of abnormalities in electrography especially myocardial infarction. The Behavioral detection-Electrography embeds the two-tier architecture in which we integrate the behavioral relationship concepts with myocardial detection algorithm.

KW - Behavioral detection electrocardiography and electrocardiography

KW - behavioral theory

KW - cardiovascular diseases

KW - Myocardial infraction detection algorithm

UR - https://www.scopus.com/pages/publications/85137571990

U2 - 10.1145/3546157.3546169

DO - 10.1145/3546157.3546169

M3 - Conference contribution

AN - SCOPUS:85137571990

T3 - ACM International Conference Proceeding Series

SP - 76

EP - 80

BT - ICISDM 2022 - 2022 6th International Conference on Information System and Data Mining

PB - Association for Computing Machinery

Y2 - 27 May 2022 through 29 May 2022

ER -

BD-ECG: identification of myocardial infarction in ECG via behavior coupling

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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