[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future

T Anbalagan, MK Nath, D Vijayalakshmi… - Biomedical Engineering …, 2023 - Elsevier
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …

Automated biosignal quality analysis of electrocardiograms

M Abdelazez, S Rajan… - Ieee Instrumentation & …, 2021 - ieeexplore.ieee.org
Biosignals are signals that can be measured directly from biological organisms. Examples of
biosignals include the electrocardiogram (ECG; electrical signal associated with the heart) …

Detection of Atrial Fibrillation from ECG Signal Using Efficient Feature Selection and Classification

T Anbalagan, MK Nath, A Anbalagan - Circuits, Systems, and Signal …, 2024 - Springer
Atrial fibrillation (AF) is a life-threatening cardiac condition caused by inadequate blood flow,
resulting in abnormal ECG records, blood clotting, and cardioembolic strokes. In recent …

Abnormal ECG Detection in Wearable Devices Using Compressed Learning

B Lal, Q Li, P Corsonello… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The electrocardiogram (ECG) is a broadly used diagnostic tool for assessing heart
functionality. However, ECG data can be large and difficult to transmit or store. The concept …

Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram for Remote Monitoring

M Abdelazez, S Rajan, ADC Chan - Frontiers in Electronics, 2022 - frontiersin.org
The objective of this paper is to develop an optimized system to detect Atrial Fibrillation (AF)
in compressively sensed electrocardiogram (ECG) for long-term remote patient monitoring …

Analysis of Compressively Sensed Electrocardiogram for Detection of Atrial Fibrillation

MH Abdelazez - 2022 - repository.library.carleton.ca
Cardiovascular diseases (CVDs) are one of the leading causes of death in the world. Long-
term ambulatory electrocardiogram (ECG) monitoring enables timely medical interventions …