Intramuscular <scp>EMG</scp> classifier for detecting myopathy and neuropathy-Reference-Cited by-同舟云学术

Intramuscular EMG classifier for detecting myopathy and neuropathy

Published:2022-10-18 Issue:2 Volume:33 Page:659-669
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Jose Shobha¹^ORCID,Selvaraj Thomas George¹,Samuel Kenneth²,Philip Jobin T.¹,Nanjappan Jothiraj Sairamya¹,Muthu Swamy Pandian Subathra¹,Handiru Vikram Shenoy³⁴,Suviseshamuthu Easter S.³⁴

Affiliation:

1. School of Engineering & Technology Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu India

2. Department of Biology Eastern University St. Davids Pennsylvania USA

3. Center for Mobility and Rehabilitation Engineering Research Kessler Foundation West Orange New Jersey USA

4. Department of Physical Medicine and Rehabilitation Rutgers New Jersey Medical School, Rutgers University Newark New Jersey USA

Funder

Rutgers, The State University of New Jersey

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22811

Reference43 articles.

1. Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders

2. Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders

3. A Multi-Classifier Approach to MUAP Classification for Diagnosis of Neuromuscular Disorders

4. A Multiview Discriminant Feature Fusion-Based Nonlinear Process Assessment and Diagnosis: Application to Medical Diagnosis

5. Automated EMG Signal Classification for Diagnosis of Neuromuscular Disorders Using DWT and Bagging

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