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