Machine learning approach to detect cardiac arrhythmias in ECG signals: A survey

S Sahoo, M Dash, S Behera, S Sabut - Irbm, 2020 - Elsevier
Cardiac arrhythmia is a condition when the heart rate is irregular either the beat is too slow
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …

ECG arrhythmia classification by using a recurrence plot and convolutional neural network

BM Mathunjwa, YT Lin, CH Lin, MF Abbod… - … Signal Processing and …, 2021 - Elsevier
Cardiovascular diseases affect approximately 50 million people worldwide; thus, heart
disease prevention is one of the most important tasks of any health care system. Despite the …

Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges

SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …

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

TH Pham, V Sree, J Mapes, S Dua, OS Lih… - Journal of Ambient …, 2021 - Springer
Abstract Arrhythmias such as Atrial Fibrillation (A fib), Atrial Flutter (A fl), and Ventricular
Fibrillation (V fib) are early indicators of Stroke and Sudden Cardiac Death, which are …

Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals

YD Daydulo, BL Thamineni, AA Dawud - BMC Medical Informatics and …, 2023 - Springer
Background Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances
in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically …

Detection of abnormal heart conditions based on characteristics of ECG signals

M Hammad, A Maher, K Wang, F Jiang, M Amrani - Measurement, 2018 - Elsevier
Heart diseases are one of the most important death causes across the globe. Therefore,
early detection of heart diseases is crucial to reduce the rising death rate. Electrocardiogram …

[Retracted] Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks

M Badr, S Al-Otaibi, N Alturki… - Computational Intelligence …, 2022 - Wiley Online Library
The electrocardiogram, also known as an electrocardiogram (ECG), is considered to be one
of the most significant sources of data regarding the structure and function of the heart. In …

Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals

T Tuncer, S Dogan, P Pławiak, UR Acharya - Knowledge-Based Systems, 2019 - Elsevier
Electrocardiography (ECG) is widely used for arrhythmia detection nowadays. The machine
learning methods with signal processing algorithms have been used for automated …

Arrhythmia classification techniques using deep neural network

AH Khan, M Hussain, MK Malik - Complexity, 2021 - Wiley Online Library
Electrocardiogram (ECG) is the most common and low‐cost diagnostic tool used in
healthcare institutes for screening heart electrical signals. The abnormal heart signals are …

[HTML][HTML] ECG-based heartbeat classification for arrhythmia detection: A survey

EJS Luz, WR Schwartz, G Cámara-Chávez… - Computer methods and …, 2016 - Elsevier
An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …