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...

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Vydané v:	2013 6th International Symposium on Resilient Control Systems (ISRCS) s. 74 - 79
Hlavní autori:	Potluri, Chandrasekhar, Anugolu, Madhavi, Schoen, Marco P., Naidu, D. Subbaram, Urfer, Alex, Rieger, Craig
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2013
Predmet:	Algorithm design and analysis Approximate Entropy Computational modeling Data fusion Entropy Force Fuzzy logic Muscles Sensors
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