𝔖 Bobbio Scriptorium
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Automatic analysis of the EMG interference pattern

✍ Scribed by E Stålberg; J Chu; V Bril; S Nandedkar; S Stålberg; M Ericsson


Book ID
115865043
Publisher
Elsevier Science
Year
1983
Tongue
English
Weight
670 KB
Volume
56
Category
Article
ISSN
0013-4694

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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