𝔖 Bobbio Scriptorium
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PS-33-4 Automatic analysis of the EMG interference pattern

✍ Scribed by Domenico De Grandis; Lispi Ludovico

Book ID
116159481
Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
130 KB
Volume
97
Category
Article
ISSN
0924-980X

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Neural network analysis of the EMG inter
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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