A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmias
This paper describes the application of competitive neural networks with the LVQ algorithm
for classification of electrocardiogram signals (ECG). For this study we used the MIT–BIH …
for classification of electrocardiogram signals (ECG). For this study we used the MIT–BIH …
[PDF][PDF] Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO.
Accepted: 13 December 2020 Late detection of depression is having detrimental
consequences including suicide thus there is a serious need for an accurate computer …
consequences including suicide thus there is a serious need for an accurate computer …
Robust automated cardiac arrhythmia detection in ECG beat signals
Nowadays, millions of people are affected by heart diseases worldwide, whereas a
considerable amount of them could be aided through an electrocardiogram (ECG) trace …
considerable amount of them could be aided through an electrocardiogram (ECG) trace …
Sleep apnea detection from single-lead ECG using features based on ECG-derived respiration (EDR) signals
P Janbakhshi, MB Shamsollahi - Irbm, 2018 - Elsevier
Background and objective One of the important applications of non-invasive respiration
monitoring using ECG signal is the detection of obstructive sleep apnea (OSA). ECG-derived …
monitoring using ECG signal is the detection of obstructive sleep apnea (OSA). ECG-derived …
Time-based compression and classification of heartbeats
AS Alvarado, C Lakshminarayan… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Heart function measured by electrocardiograms (ECG) is crucial for patient care. ECG
generated waveforms are used to find patterns of irregularities in cardiac cycles in patients …
generated waveforms are used to find patterns of irregularities in cardiac cycles in patients …
Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering
Background and objective Prediction and classification of Ventricular Arrhythmias (VA) may
allow clinicians sufficient time to intervene for stopping its escalation to Sudden Cardiac …
allow clinicians sufficient time to intervene for stopping its escalation to Sudden Cardiac …
A Review of Intelligent Garment System for Bioelectric Monitoring During Long-Lasting Intensive Sports
Bioelectric signals are significant indicators of the state of health of the human body,
especially in sports monitoring, where athletes' fatigue state and performance need to be …
especially in sports monitoring, where athletes' fatigue state and performance need to be …