𝔖 Bobbio Scriptorium
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Spectral analysis and the interference EMG

✍ Scribed by Jones, N.B.; Lago, P.J.A.


Book ID
114446283
Publisher
The Institution of Electrical Engineers
Year
1982
Weight
751 KB
Volume
129
Category
Article
ISSN
0143-702X

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This paper investigates the perfrmance of artzjicial neural networks for analysing and classifying EMG signals from healthy subjects and patients with myopathic and neuropathic disorders. EMG interference pabrns (IP) were recorded under maximum voluntaq con&action from the right biceps of a total of