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 …
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
[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 …
ECG beat classification using PCA, LDA, ICA and discrete wavelet transform
RJ Martis, UR Acharya, LC Min - Biomedical Signal Processing and Control, 2013 - Elsevier
Electrocardiogram (ECG) is the P-QRS-T wave, representing the cardiac function. The
information concealed in the ECG signal is useful in detecting the disease afflicting the …
information concealed in the ECG signal is useful in detecting the disease afflicting the …
Highly stretchable metallic nanowire networks reinforced by the underlying randomly distributed elastic polymer nanofibers via interfacial adhesion improvement
On‐skin electronics require conductive, porous, and stretchable materials for a stable
operation with minimal invasiveness to the human body. However, porous elastic …
operation with minimal invasiveness to the human body. However, porous elastic …
Cardiac decision making using higher order spectra
The electrocardiogram (ECG) is the P-QRS-T wave representing the information about the
condition of the heart. The shape and size of the ECG signal may contain useful information …
condition of the heart. The shape and size of the ECG signal may contain useful information …
Electrocardiogram classification using reservoir computing with logistic regression
MA Escalona-Morán, MC Soriano… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
An adapted state-of-the-art method of processing information known as Reservoir
Computing is used to show its utility on the open and time-consuming problem of heartbeat …
Computing is used to show its utility on the open and time-consuming problem of heartbeat …
Ensemble deep learning approach for ecg-based cardiac disease detection: Signal and image analysis
T Mahmud, A Barua, D Islam… - … on Information and …, 2023 - ieeexplore.ieee.org
The classification and identification of arrhythmias using ECG signals hold substantial
practical importance in the early prevention and detection of cardiac/cardiovascular …
practical importance in the early prevention and detection of cardiac/cardiovascular …
Golden standard or obsolete method? Review of ECG applications in clinical and experimental context
T Stracina, M Ronzhina, R Redina… - Frontiers in …, 2022 - frontiersin.org
Cardiovascular system and its functions under both physiological and pathophysiological
conditions have been studied for centuries. One of the most important steps in the …
conditions have been studied for centuries. One of the most important steps in the …
Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions
Medical practitioners need to understand the critical features of ECG beats to diagnose and
identify cardiovascular conditions accurately. This would be greatly facilitated by identifying …
identify cardiovascular conditions accurately. This would be greatly facilitated by identifying …