Prediction of sEMG-based tremor joint angle using the RBF neural network

2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012

Volumn , Issue , 2012, Pages 2103-2108

  Wang, Shengxin ^a   Gao, Yongsheng ^a   Zhao, Jie ^a   Yang, Tao ^a   Zhu, Yanhe ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Linear Profile curve; Pathological tremor; RBF Network; sEMG

Indexed keywords

ANGULAR DISPLACEMENT; EFFECTIVE SUPPRESSION; ELECTROMYOGRAPHIC; EXOSKELETON SYSTEMS; FEATURE VALUES; JOINT ANGLE; KINEMATIC INFORMATION; LINEAR PROFILE-CURVE; MUSCLE ACTIVATION; PATHOLOGICAL TREMORS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; RELATIONSHIP MODEL; ROOT MEAN SQUARE; SEMG;

FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84867613341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2012.6285668     Document Type: Conference Paper

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