Wavelet transforms and the ECG: a review
PS Addison - Physiological measurement, 2005 - iopscience.iop.org
The wavelet transform has emerged over recent years as a powerful time–frequency
analysis and signal coding tool favoured for the interrogation of complex nonstationary …
analysis and signal coding tool favoured for the interrogation of complex nonstationary …
Current methods in electrocardiogram characterization
The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart.
The subtle changes in the electric potential patterns of repolarization and depolarization are …
The subtle changes in the electric potential patterns of repolarization and depolarization are …
[HTML][HTML] ECG-based heartbeat classification for arrhythmia detection: A survey
An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
[BOOK][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Automatic classification of heartbeats using ECG morphology and heartbeat interval features
P De Chazal, M O'Dwyer… - IEEE transactions on …, 2004 - ieeexplore.ieee.org
A method for the automatic processing of the electrocardiogram (ECG) for the classification
of heartbeats is presented. The method allocates manually detected heartbeats to one of the …
of heartbeats is presented. The method allocates manually detected heartbeats to one of the …
The principles of software QRS detection
BU Kohler, C Hennig… - IEEE Engineering in …, 2002 - ieeexplore.ieee.org
The QRS complex is the most striking waveform within the electrocardiogram (ECG). Since it
reflects the electrical activity within the heart during the ventricular contraction, the time of its …
reflects the electrical activity within the heart during the ventricular contraction, the time of its …
Electrocardiogram soft computing using hybrid deep learning CNN-ELM
S Zhou, B Tan - Applied Soft Computing, 2020 - Elsevier
Electrocardiogram (ECG) can reflect the state of human heart and is widely used in clinical
cardiac examination. However, the electrocardiogram signal is very weak, the anti …
cardiac examination. However, the electrocardiogram signal is very weak, the anti …
Heartbeat classification using morphological and dynamic features of ECG signals
In this paper, we propose a new approach for heartbeat classification based on a
combination of morphological and dynamic features. Wavelet transform and independent …
combination of morphological and dynamic features. Wavelet transform and independent …
An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals
We present a new method for automatic detection of peaks in noisy periodic and quasi-
periodic signals. The new method, called automatic multiscale-based peak detection …
periodic signals. The new method, called automatic multiscale-based peak detection …
Optimal selection of wavelet basis function applied to ECG signal denoising
Over the years ElectroCardioGram (ECG) signal has been used to assess the
cardiovascular condition of humans. In practice, real time acquisition and transmission of the …
cardiovascular condition of humans. In practice, real time acquisition and transmission of the …