Cardiac scan: A non-contact and continuous heart-based user authentication system
Continuous authentication is of great importance to maintain the security level of a system
throughout the login session. The goal of this work is to investigate a trustworthy, continuous�…
throughout the login session. The goal of this work is to investigate a trustworthy, continuous�…
Optimization of ECG classification by means of feature selection
This study tackles the ECG classification problem by means of a methodology, which is able
to enhance classification performance while simultaneously reducing the computational�…
to enhance classification performance while simultaneously reducing the computational�…
Robust neural-network-based classification of premature ventricular contractions using wavelet transform and timing interval features
OT Inan, L Giovangrandi…�- IEEE transactions on�…, 2006 - ieeexplore.ieee.org
Automatic electrocardiogram (ECG) beat classification is essential to timely diagnosis of
dangerous heart conditions. Specifically, accurate detection of premature ventricular�…
dangerous heart conditions. Specifically, accurate detection of premature ventricular�…
Wavelet and wavelet packet compression of electrocardiograms
ML Hilton�- IEEE transactions on biomedical engineering, 1997 - ieeexplore.ieee.org
Wavelets and wavelet packets have recently emerged as powerful tools for signal
compression. Wavelet and wavelet packet-based compression algorithms based on�…
compression. Wavelet and wavelet packet-based compression algorithms based on�…
Automatic detection of P, QRS and T patterns in 12 leads ECG signal based on CWT
In this paper, a new method based on the continuous wavelet transform is described in order
to detect the QRS, P and T waves. QRS, P and T waves may be distinguished from noise�…
to detect the QRS, P and T waves. QRS, P and T waves may be distinguished from noise�…
Toward improving ECG biometric identification using cascaded convolutional neural networks
Biometric identification via Electrocardiogram (ECG) signals, which can be captured by
devices with ECG sensors, have been explored for human identification for decades�…
devices with ECG sensors, have been explored for human identification for decades�…
Real-time patient-specific ECG classification by 1D self-operational neural networks
Objective: Despitethe proliferation of numerous deep learning methods proposed for generic
ECG classification and arrhythmia detection, compact systems with the real-time ability and�…
ECG classification and arrhythmia detection, compact systems with the real-time ability and�…
[HTML][HTML] Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems
Cardiovascular diseases are the number one cause of death worldwide. Currently, portable
battery-operated systems such as mobile phones with wireless ECG sensors have the�…
battery-operated systems such as mobile phones with wireless ECG sensors have the�…
[HTML][HTML] Fast QRS detection with an optimized knowledge-based method: Evaluation on 11 standard ECG databases
M Elgendi�- PloS one, 2013 - journals.plos.org
The current state-of-the-art in automatic QRS detection methods show high robustness and
almost negligible error rates. In return, the methods are usually based on machine-learning�…
almost negligible error rates. In return, the methods are usually based on machine-learning�…
QRS complexes detection for ECG signal: The Difference Operation Method
YC Yeh, WJ Wang�- Computer methods and programs in biomedicine, 2008 - Elsevier
This paper proposes a simple and reliable method termed the Difference Operation Method
(DOM) to detect the QRS complex of an electrocardiogram (ECG) signal. The proposed�…
(DOM) to detect the QRS complex of an electrocardiogram (ECG) signal. The proposed�…