Advancements in ECG Heartbeat Classification: A Comprehensive Review of Deep Learning Approaches and Imbalanced Data Solutions
Abstract
This systematic literature review critically examines developments in electrocardiogram (ECG) heartbeat classification, focusing on the utilization of deep learning techniques and addressing challenges associated with imbalanced datasets. Covering articles published between 2012 and 2021, The primary objective is to uncover challenges related to imbalanced data in predicting heart diseases, specifically through the lens of machine learning applications utilizing ECG and patient data. The paper discusses the types of heart diseases, algorithms, applications, and solutions, shedding light on limitations and gaps in current approaches.
Keywords:
ECG Signal Processing, Convolutional Neural Network (CNN), AAMI Standard, MIT-BIH Dataset, INCART Dataset, Deep Learning, R-peak Detection, Electrocardiogram (ECG) Abnormalities, Machine Learning, Medical Signal Processing, RR Time Interval, Explainable AI
Published
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Aswathy S, Liyan Grace Shaji, "A Multimodal Framework For Anaemia Screening Using Images And Clinical Features: A Comprehensive Survey And Methodological Proposal" , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- S Sreejith, Akshara Santhosh, Ardra Haridas, S Jayakrishnan, Ojus Thomas Lee, Chitra Merin Varghese, BrailE- Reading Device for the Deaf and Blind in Real Time Speech , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Joyal Joby Joseph, Michael Abraham Philips, Noel J Abraham, Steffi Maria Saji, Shiney Thomas, A Review of Parkinson Disease Detection Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- P Sathya Narayan, Safad Ismail, Developing an Empathetic Interaction Model for Elderly in Pandemics , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Cymil Sara Eashow, Fathima Ishana K.M, Eva Mary Regi, Ken Jacob Zachariah, Kesiya Rachel John, Juby Mathew, Assistive Technologies for the Visually Impaired: A Comprehensive Survey , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- FATHIMA P.S, ANU ROSE JOY, ANSPIN TITUS, ANSU MARIUM SHIBU, ASNA AZEEZ, INDIAN SIGN LANGUAGE RECOGNITION USING YOLOV5 , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Kevin Roy, Lino Shaji, Riya G Johnson, Tince Tomy, Jane George, INTELLIGENT BUDDY , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Honey Joseph, A Survey and Analysis on Predicting Heart Disease Using Machine Learning Techniques , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- M Midhun, Sangeetha Tony, Tibin Abraham, B Vyshnav, ACCIDENT DETECTION USING VIDEO SURVEILLANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Rhea Maria James, Richy Sara George, Sayooj Kumar M, Nihal Muhammed Ayoob, Shan Krishna, Tintu Alphonsa Thomas, A Machine Learning Framework for Tumour Classification Using Transcriptomic and Multi-Omics Datasets , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.