Automated Detection for Muscle Disease Using EMG Signal-Reference-Cited by-同舟云学术

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Automated Detection for Muscle Disease Using EMG Signal

Published:2023 Issue: Volume: Page:157-165
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Tengshe Richa,Sharma Anubhav,Pandey Harshbardhan,Jayant G. S.,Pant Laveesh,Fatimah Binish

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8563-8_16

Reference20 articles.

1. Belkhou A, Achmamad A, Jbari A (2019) Classification and diagnosis of myopathy emg signals using the continuous wavelet transform. In: 2019 scientific meeting on electrical-electronics & biomedical engineering and computer science (EBBT). IEEE, pp 1–4

2. Doulah ASU, Iqbal MA, Jumana MA (2012) Als disease detection in emg using time-frequency method. In: 2012 international conference on informatics, electronics & vision (ICIEV). IEEE, pp 648–651

3. Doulah A, Fattah S (2014) Neuromuscular disease classification based on mel frequency cepstrum of motor unit action potential. In: 2014 international conference on electrical engineering and information & communication technology. IEEE, pp 1–4

4. Dubey R, Kumar M, Upadhyay A, Pachori RB (2022) Automated diagnosis of muscle diseases from emg signals using empirical mode decomposition based method. Biomed Signal Process Control 71:103098

5. Fatimah B, Javali A, Ansar H, Harshitha B, Kumar H (2020) Mental arithmetic task classification using Fourier decomposition method. In: 2020 international conference on communication and signal processing (ICCSP). IEEE, pp 0046–0050

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Power of Cepstrum meets EMG: Detecting ALS and Myopathy;2023 3rd International Conference on Digital Futures and Transformative Technologies (ICoDT2);2023-10-03

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