ECG Language processing (ELP): A new technique to analyze ECG signals
Open Access
- 1 April 2021
- journal article
- research article
- Published by Elsevier in Computer Methods and Programs in Biomedicine
- Vol. 202, 105959
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- National Institute on Minority Health and Health Disparities
This publication has 20 references indexed in Scilit:
- A deep convolutional neural network model to classify heartbeatsComputers in Biology and Medicine, 2017
- ECG Classification Using Wavelet Packet Entropy and Random ForestsEntropy, 2016
- Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machineComputers in Biology and Medicine, 2015
- APPLICATION OF HIGHER ORDER CUMULANT FEATURES FOR CARDIAC HEALTH DIAGNOSIS USING ECG SIGNALSInternational Journal of Neural Systems, 2013
- High accuracy in automatic detection of atrial fibrillation for Holter monitoringJournal of Zhejiang University-SCIENCE B, 2012
- A novel method for detecting R-peaks in electrocardiogram (ECG) signalBiomedical Signal Processing and Control, 2012
- Survey of Clustering AlgorithmsIEEE Transactions on Neural Networks, 2005
- An efficient k-means clustering algorithm: analysis and implementationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Naming of the Waves in the ECG, With a Brief Account of Their GenesisCirculation, 1998
- A Real-Time QRS Detection AlgorithmIEEE Transactions on Biomedical Engineering, 1985