𝔖 Bobbio Scriptorium
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Quantitative categories of interference pattern in clinical EMG

✍ Scribed by J. Kopec


Book ID
115868632
Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
123 KB
Volume
75
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