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 …
A systematic review on artificial intelligence-based techniques for diagnosis of cardiovascular arrhythmia diseases: challenges and opportunities
Cardiovascular health-related problem is a rapidly increasing integrated field concerning the
processing and fetching the information from cardiovascular systems for early detection and …
processing and fetching the information from cardiovascular systems for early detection and …
Multilevel classification and detection of cardiac arrhythmias with high-resolution superlet transform and deep convolution neural network
Atrial fibrillation and ventricular fibrillation are the two most common cardiac arrhythmia.
These cardiac arrhythmias cause heart strokes and other heart complications leading to an …
These cardiac arrhythmias cause heart strokes and other heart complications leading to an …
Design of hardware-efficient PVC recognition and classification system for early detection of sudden cardiac arrests
A Gon, A Mukherjee - AEU-International Journal of Electronics and …, 2023 - Elsevier
Sudden cardiac arrest (SCA) is a critical cardiovascular condition that needs greater
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …
A near-sensor ecg delineation and arrhythmia classification system
Cardiovascular disease (CVD) has become the leading cause of death worldwide. As a
widely used method for diagnosing CVD, currently electrocardiogram (ECG) monitoring …
widely used method for diagnosing CVD, currently electrocardiogram (ECG) monitoring …
A novel approach for real-time ECG signal denoising using Fourier decomposition method
Object The heart is a vital organ in human anatomy, and proper care is essential.
Electrocardiogram (ECG) is a non-invasive and popular tool to monitor cardiac health. ECG …
Electrocardiogram (ECG) is a non-invasive and popular tool to monitor cardiac health. ECG …
An improved reversible data hiding method in encrypted domain for E-healthcare
R Bhardwaj - Multimedia Tools and Applications, 2023 - Springer
In current scenario, patient data privacy and security is one of the most significant challenge
for telemedicine applications. A minute change to Electronic Patient Information (EPI) may …
for telemedicine applications. A minute change to Electronic Patient Information (EPI) may …
Detection of shockable arrhythmia from electrocardiogram signal using recurrence quantification analysis based deep convolutional neural networks
Ventricular fibrillation and ventricular tachycardia are shockable cardiac symptoms. These
ventricular arrhythmias (VAs) raise the risk of heart failure by causing heart attacks and other …
ventricular arrhythmias (VAs) raise the risk of heart failure by causing heart attacks and other …
SPTDMD-WST: Arrhythmia classification from spatiotemporal modes of dynamic mode decomposition using wavelet scattering transform
Arrhythmia is a type of cardiovascular disease that severely alert human health. An
instantaneous monitoring of electrocardiogram signals (ECG) is an efficacious process for …
instantaneous monitoring of electrocardiogram signals (ECG) is an efficacious process for …
Vector-to-Vector Mapping with Stacked Gated Recurrent Units for Biosignal Enhancement
E Dasan, R Gnanaraj, NSJ Jeyabalan - Circuits, Systems, and Signal …, 2024 - Springer
In recent years, vector-to-vector mapping-based raw waveform biosignal enhancement
methods have gained significant attention in remote health monitoring system. In this paper …
methods have gained significant attention in remote health monitoring system. In this paper …