[PDF][PDF] Arrhythmia modern classification techniques: A review

M Saber, M Abotaleb - J. Artif. Intell. Metaheuristics, 2022 - researchgate.net
Artificial intelligence methods are utilized in biological signal processing to locate and
extract interesting data. The examination of ECG signal characteristics is crucial for the …

Arrhythmia detection and classification using ECG and PPG techniques: A review

Neha, HK Sardana, R Kanwade, S Tewary - Physical and Engineering …, 2021 - Springer
Electrocardiogram (ECG) and photoplethysmograph (PPG) are non-invasive techniques that
provide electrical and hemodynamic information of the heart, respectively. This information …

Classification of ECG signals using machine learning techniques: A survey

SH Jambukia, VK Dabhi… - … Conference on Advances …, 2015 - ieeexplore.ieee.org
Classification of electrocardiogram (ECG) signals plays an important role in diagnoses of
heart diseases. An accurate ECG classification is a challenging problem. This paper …

[PDF][PDF] Fusion based feature extraction analysis of ECG signal interpretation–a systematic approach

T Vijayakumar, R Vinothkanna… - Journal of Artificial …, 2021 - researchgate.net
Our human heart is classified into four sections called the left side and right side of the
atrium and ventricle accordingly. Monitoring and taking care of the heart of every human is …

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 …

CardioNet: An efficient ECG arrhythmia classification system using transfer learning

A Pal, R Srivastva, YN Singh - Big Data Research, 2021 - Elsevier
The electrocardiogram (ECG) is a noninvasive test used extensively to monitor and
diagnose cardiac arrhythmia. Existing automated arrhythmia classification methods hardly …

CNN-FWS: a model for the diagnosis of normal and abnormal ECG with feature adaptive

J Zhu, J Lv, D Kong - Entropy, 2022 - mdpi.com
(1) Background and objective: Cardiovascular disease is one of the most common causes of
death in today's world. ECG is crucial in the early detection and prevention of cardiovascular …

Ecg classification and analysis for heart disease prediction using xai-driven machine learning algorithms

R Aggarwal, P Podder, A Khamparia - Biomedical data analysis and …, 2022 - Springer
In the biomedical science and research field, the electrocardiogram provides better results
due to advancements in technologies. The electrocardiogram is the electrical activity of the …

A review on arrhythmia classification using ECG signals

YP Sai - 2020 IEEE International Students' Conference on …, 2020 - ieeexplore.ieee.org
Arrhythmia Classification plays a major role while diagnosing heart diseases. Any change in
the regular sequence of electric impulses is called as arrhythmia. Identifying arrhythmia as …

Reseek-arrhythmia: Empirical evaluation of ResNet architecture for detection of arrhythmia

SU Haq, SU Bazai, A Fatima, S Marjan, J Yang, LY Por… - Diagnostics, 2023 - mdpi.com
Arrhythmia is a cardiac condition characterized by an irregular heart rhythm that hinders the
proper circulation of blood, posing a severe risk to individuals' lives. Globally, arrhythmias …