Computational intelligence based data fusion algorithm for dynamic sEMG and skeletal muscle force modelling

In this work, an array of three surface Electromyography (sEMG) sensors are used to acquired muscle extension and contraction signals for 18 healthy test subjects. The skeletal muscle force is estimated using the acquired sEMG signals and a Non-linear Wiener Hammerstein model, relating the two signa...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2013 6th International Symposium on Resilient Control Systems (ISRCS) S. 74 - 79
Hauptverfasser:	Potluri, Chandrasekhar, Anugolu, Madhavi, Schoen, Marco P., Naidu, D. Subbaram, Urfer, Alex, Rieger, Craig
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2013
Schlagworte:	Algorithm design and analysis Approximate Entropy Computational modeling Data fusion Entropy Force Fuzzy logic Muscles Sensors
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!