ANFIS to estimate damping coefficient from EMG to optimize the interaction force
暂无分享,去创建一个
[1] Lida Xu,et al. EMG and EPP-Integrated Human–Machine Interface Between the Paralyzed and Rehabilitation Exoskeleton , 2012, IEEE Transactions on Information Technology in Biomedicine.
[2] Elif Derya Übeyli,et al. Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents , 2009, Comput. Methods Programs Biomed..
[3] Elif Derya Übeyli. Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents , 2009, Comput. Methods Programs Biomed..
[4] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[5] S. N. Sidek,et al. Mapping of EMG signal to hand grip force at varying wrist angles , 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.
[6] Jin Hu,et al. sEMG-Based Single-Joint Active Training with iLeg - A Horizontal Exoskeleton for Lower Limb Rehabilitation , 2014, ICONIP.
[7] Elif Derya Übeyli,et al. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients , 2005, Journal of Neuroscience Methods.
[8] B Hudgins,et al. Myoelectric signal processing for control of powered limb prostheses. , 2006, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.