DocumentCode :
1768600
Title :
Modeling and taylormade training method using neural network for specific muscle of the upper limb
Author :
Terashima, K. ; Miyoshi, Takanori ; Itokazu, Kenta ; Ueno, Yukiko ; Watanabe, Daisuke
Author_Institution :
Dept. of Mech. Eng., Toyohashi Univ. of Technol., Toyohashi, Japan
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
762
Lastpage :
767
Abstract :
In this paper, we present modeling and taylormade training method using neural network for specific muscle of the upper limb. Validity of neural network model is demonstrated by comparing with the previous musculo - skeletal model in actual experiments. Applying the neural network model, an optimum path maximizing the activity of an agonist muscle and minimizing that of other muscles is designed by using an optimization method. The degree of muscles revitalization is evaluated by the amplitude of EMG signal, and the effectiveness of the proposed method is demonstrated.
Keywords :
electromyography; medical robotics; neural nets; optimisation; patient rehabilitation; EMG signal amplitude; agonist muscle; modeling method; muscles revitalization degree; musculo-skeletal model; neural network; optimization method; rehabilitation robotics; taylormade training method; upper limb specific muscle; Robots; Care Prevention; EMG signal; Muscle Training; Neural Network; Rehabilitation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
ISSN :
2093-7121
Print_ISBN :
978-8-9932-1506-9
Type :
conf
DOI :
10.1109/ICCAS.2014.6987881
Filename :
6987881
Link To Document :
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