Robust detection of premature ventricular contractions using sparse signal decomposition and temporal features-Reference-Cited by-同舟云学术

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Robust detection of premature ventricular contractions using sparse signal decomposition and temporal features

Published:2015-11-19 Issue:6 Volume:2 Page:141-148
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Manikandan M. Sabarimalai¹,Ramkumar Barathram¹,Deshpande Pranav S.¹,Choudhary Tilendra¹

Affiliation:

1. School of Electrical Sciences Indian Institute of Technology Bhubaneswar Bhubaneswar Odisha 751013 India

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2015.0006

Reference24 articles.

1. Robust Detection of Premature Ventricular Contractions Using a Wave-Based Bayesian Framework

2. Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System

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2. An improved cardiac arrhythmia classification using an RR interval-based approach;Biocybernetics and Biomedical Engineering;2021-04

3. Premature Ventricular Contractions’ Detection Based on Active Learning;Scientific Programming;2021-03-06

4. Improvement of Detection Algorithm of Extrasystoles Based on Support Vector Machine Using Multiple Features in Surface Electrocardiogram;IEEJ Transactions on Electronics, Information and Systems;2020-12-01

5. Searching for Premature Ventricular Contraction from Electrocardiogram by Using One-Dimensional Convolutional Neural Network;Electronics;2020-10-28

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