ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study
Authors
Keywords
-
Journal
Scientific Reports
Volume 7, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-09-05
DOI
10.1038/s41598-017-10942-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection
- (2016) Yi-Li Tseng et al. Computational and Mathematical Methods in Medicine
- Identification of exercise-induced ischemia using QRS slopes
- (2016) Reza Firoozabadi et al. JOURNAL OF ELECTROCARDIOLOGY
- SignalPlant: an open signal processing software platform
- (2016) F Plesinger et al. PHYSIOLOGICAL MEASUREMENT
- A Wavelet-Based ECG Delineation Method: Adaptation to an Experimental Electrograms with Manifested Global Ischemia
- (2015) Jakub Hejč et al. Cardiovascular Engineering and Technology
- Accurate and reliable 3-lead to 12-lead ECG reconstruction methodology for remote health monitoring applications
- (2014) S. Maheshwari et al. IRBM
- Quantifying QRS changes during myocardial ischemia: Insights from high frequency electrocardiography
- (2014) Guy Amit et al. JOURNAL OF ELECTROCARDIOLOGY
- An automated algorithm for online detection of fragmented QRS and identification of its various morphologies
- (2013) S. Maheshwari et al. Journal of the Royal Society Interface
- Detection of cardiac arrhythmia in electrocardiograms using adaptive feature extraction and modified support vector machines
- (2012) Chia-Ping Shen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Novel set of vectorcardiographic parameters for the identification of ischemic patients
- (2012) Raúl Correa et al. MEDICAL ENGINEERING & PHYSICS
- Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with kernel methods
- (2012) Naif Alajlan et al. Signal Image and Video Processing
- Use of Electrocardiographic Depolarization Abnormalities for Detection of Stress-Induced Ischemia as Defined by Myocardial Perfusion Imaging
- (2011) Tali Sharir et al. AMERICAN JOURNAL OF CARDIOLOGY
- A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higher-order statistics
- (2011) Saeed Karimifard et al. Biomedical Engineering Online
- Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients
- (2011) Yakup Kutlu et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Classification of biological signals using linear and nonlinear features
- (2010) T Balli et al. PHYSIOLOGICAL MEASUREMENT
- Genetic algorithm and wavelet hybrid scheme for ECG signal denoising
- (2010) El-Sayed A. El-Dahshan TELECOMMUNICATION SYSTEMS
- Robust Detection of Premature Ventricular Contractions Using a Wave-Based Bayesian Framework
- (2009) O. Sayadi et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- AHA/ACCF/HRS Recommendations for the Standardization and Interpretation of the Electrocardiogram
- (2009) Galen S. Wagner et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now