𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Recognition of the physiological actions of the triphasic EMG pattern by a dynamic recurrent neural network

✍ Scribed by Guy Cheron; Ana Maria Cebolla; Ana Bengoetxea; Françoise Leurs; Bernard Dan


Book ID
116769279
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
413 KB
Volume
414
Category
Article
ISSN
0304-3940

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Neural network analysis of the EMG inter
✍ E.W. Abel; P.C. Zacharia; A. Forster; T.L. Farrow 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 696 KB

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