Developing Deep Learning Model for Abnormal Heartbeat Detection in Electrocardiography Signals-Reference-Cited by-同舟云学术

Developing Deep Learning Model for Abnormal Heartbeat Detection in Electrocardiography Signals

Published:2024-01-04 Issue: Volume: Page:315-320
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Container-title:2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

Ramalakshmi V.¹,Garg Neha²,M. Soudagar Manzoore Elahi³,Vekariya Daxa⁴,Patil Harshal⁵,V Arun Shalin L⁶

Affiliation:

1. Potti Sreeramulu Chalavadhi Mallikarjuna Rao College of Engineering & Technology,Department of CSE,Vijayawada,Andhra Pradesh,India,521225

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India,602105

4. Parul institute of Engineering and Technology, Parul University,Department of Computer Science & Engineering,Post Limda,Gujarat,India,391760

5. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Computer Science and Engineering,Pune,Maharashtra,India,412115

6. Bannari Amman Institute of Technology,Department: of Information Technology,Erode,Tamil Nadu,India,638401

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467178/10467214/10467337.pdf?arnumber=10467337

Reference15 articles.

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3. Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

4. Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

5. ECG Signal Feature Extraction and SVM Classifier Based Cardiac Arrhythmia Detection