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GitHub / maaghia / EMG-Signals-Classification-for-Neuromuscular-Diseases-Detection-Using-Deep-Learning

Welcome to our repository dedicated to the code used in our study on classifying neuromuscular diseases through deep learning techniques applied to Electromyography (EMG) signals. Our research focuses on developing deep neural networks that can differentiate between healthy individuals and those with neuromuscular disorders.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maaghia%2FEMG-Signals-Classification-for-Neuromuscular-Diseases-Detection-Using-Deep-Learning

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 427 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: deep-learning, emg, emglab, subject-independent, train-test-split

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