Computer-aided arrhythmia diagnosis with bio-signal processing: A survey of trends and techniques

SMP Dinakarrao, A Jantsch, M Shafique - ACM Computing Surveys …, 2019 - dl.acm.org
Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient.
One such bio-signal of paramount importance is the electrocardiogram (ECG), which …

A knowledge-based system for arrhythmia detection

Z Elghazzawi, F Geheb - Computers in Cardiology 1996, 1996 - ieeexplore.ieee.org
Current arrhythmia detectors perform well on patients who have stable normal QRS complex
morphologies and distinct ventricular QRS complex morphologies in clean ECG signals …

Automated electrocardiography and arrhythmia monitoring

JM Jenkins - progress in Cardiovascular Diseases, 1983 - Elsevier
Computer PROCESSING of the electro-cardiographic signal (ECG) began over two decades
ago when Dr. Hubert V. Pipberger undertook a project for the Veterans Administration in …

Design, implementation and evaluation of amicrocomputer-based portable arrhythmia monitor

NV Thakor, JG Webster, WJ Tompkins - Medical and Biological …, 1984 - Springer
The design of a portable, battery-operated microcomputer-based monitor for ambulatory
ECG recording and analysis is described. Designed for real-time cardiac arrhythmia …

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

Y Hagiwara, H Fujita, SL Oh, JH Tan, R San Tan… - Information …, 2018 - Elsevier
Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …

A literature review: ecg-based models for arrhythmia diagnosis using artificial intelligence techniques

A Boulif, B Ananou, M Ouladsine… - … and Biology Insights, 2023 - journals.sagepub.com
In the health care and medical domain, it has been proven challenging to diagnose correctly
many diseases with complicated and interferential symptoms, including arrhythmia …

[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 …

[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 …

Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats

UR Acharya, H Fujita, M Adam, OS Lih… - … on systems, man …, 2016 - ieeexplore.ieee.org
Arrhythmias are abnormal heartbeat rhythms, categorized as either harmless or life-
threatening. Commonly, elderly people are more vulnerable to life-threatening arrhythmias …

A review of arrhythmia detection based on electrocardiogram with artificial intelligence

J Liu, Z Li, Y Jin, Y Liu, C Liu, L Zhao… - Expert review of medical …, 2022 - Taylor & Francis
Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …