BD-ECG: identification of myocardial infarction in ECG via behavior coupling
- Uzair Iqbal,
- Teh Ying Wah,
- ,
- Muhammad Bilal,
- Adeel Ahmed
- 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
Sustainable Development Goals
SDG 3 Good Health and Well
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.
Publication Information
Output type
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review
Original language
EnglishPages from-to (Number of pages)
Pages 76-80 (5 pages)Publication milestones
- Published - 22/08/2022
Publication status
Published - 22/08/2022
Publisher
Association for Computing Machinery, United StatesPublication series
- Publication series name: ACM International Conference Proceeding Series
ISBN (Electronic)
9781450396257External Publication IDs
- Scopus: 85137571990