Artificial Intelligence for the Classification of Neuromuscular Diseases Using Dominant MUAP-Reference-Cited by-同舟云学术

Artificial Intelligence for the Classification of Neuromuscular Diseases Using Dominant MUAP

Published:2022-04-21 Issue: Volume: Page:
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Container-title:2022 8th International Conference on Smart Structures and Systems (ICSSS)
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Author:

Maheshwary Priti¹,Vinu W.²,Velvadivu P.³,Shukla Surendra Kumar⁴,Srivastava Prabhat Kumar⁵,Pareek Prakash⁶

Affiliation:

1. Centre for Internet of Things and Advance Computing, Rabindranath Tagore University,Bhopal,India

2. Annamalai University,Department of Physical Education,Chidambaram,Tamilnadu,India

3. Coimbatore Institute of Technology,Department of Computing-Data Science,Coimbatore,Tamilnadu,India

4. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

5. Quantum University,Department of Computer Science and Engineering,Roorkee,Uttrakhand,India

6. Vishnu Institute of Technology,Department of Electronics and Communication Engineering,Bhimavaram,Andhra Pradesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9782157/9782158/09782227.pdf?arnumber=9782227

Reference20 articles.

1. Classification of EMG signals using wavelet neural network

2. A novel method for automated EMG decomposition and MUAP classification

3. A two-stage method for MUAP classification based on EMG decomposition

4. Motor unit potential characterization using “pattern discovery”

5. M.U.A. multiresolution's decomposition and SVM-based analysis in the classification of neuromuscular disorders;dobrowolski;Comput Methods Programs Biomed,2010

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