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 review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
Heart diseases prediction based on ECG signals' classification using a genetic-fuzzy system and dynamical model of ECG signals
The early detection of abnormal heart conditions is vital to identify heart problems and avoid
sudden cardiac death. The people with similar heart conditions almost have similar …
sudden cardiac death. The people with similar heart conditions almost have similar …
Arrhythmia detection and classification using ECG and PPG techniques: A review
Electrocardiogram (ECG) and photoplethysmograph (PPG) are non-invasive techniques that
provide electrical and hemodynamic information of the heart, respectively. This information …
provide electrical and hemodynamic information of the heart, respectively. This information …
[HTML][HTML] Evolving fuzzy logic systems for creative personalized socially assistive robots
D Dell'Anna, A Jamshidnejad - Engineering Applications of Artificial …, 2022 - Elsevier
Abstract Socially Assistive Robots (SARs) are increasingly used in dementia and elderly
care. In order to provide effective assistance, SARs need to be personalized to individual …
care. In order to provide effective assistance, SARs need to be personalized to individual …
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 …
ADONiS—Adaptive online nonsingleton fuzzy logic systems
D Pekaslan, C Wagner… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Nonsingleton fuzzy logic systems (NSFLSs) have the potential to capture and handle input
noise within the design of input fuzzy sets (FSs). In this article, we propose an online …
noise within the design of input fuzzy sets (FSs). In this article, we propose an online …
A beta basis function interval type-2 fuzzy neural network for time series applications
The huge complexity and uncertainty in real life requires the use of advanced automatic
learning methods to find out better approximators and suitable relationship in real data …
learning methods to find out better approximators and suitable relationship in real data …