Using the Bioelectric Signals to Control of Wearable Orthosis of the Elbow Joint with Bi-Muscular Pneumatic Servo-Drive

[1]  Daniel W. Repperger,et al.  Biomimetic model of skeletal muscle isometric contraction: I. an energetic-viscoelastic model for the skeletal muscle isometric force twitch , 2004, Comput. Biol. Medicine.

[2]  Kara L. Hall,et al.  Dynamic Control for a Pneumatic Muscle Actuator to Achieve Isokinetic Muscle Strengthening , 2011 .

[3]  Artur Gmerek.  Mechanical and hardware architecture of the semi-exoskeleton arm rehabilitation robot , 2013 .

[4]  Blake Hannaford,et al.  Artificial Muscles : Actuators for Biorobotic Systems , 1999 .

[5]  J. Ushiba,et al.  Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in patients with chronic stroke: a preliminary case series study. , 2011, Journal of rehabilitation medicine.

[6]  Hong Kai Yap,et al.  A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Sadao Kawamura,et al.  Development of a wearable assistive soft robotic device for elbow rehabilitation , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[8]  Tae-Yong Choi,et al.  Manipulator operation using joint stiffness adjusting by pneumatic muscles , 2008, 2008 Conference on Human System Interactions.

[9]  D. Caldwell,et al.  Task-Orientated Biofeedback System for the Rehabilitation of the Upper Limb , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[10]  Hugh Herr,et al.  Exoskeletons and orthoses: classification, design challenges and future directions , 2009, Journal of NeuroEngineering and Rehabilitation.

[11]  Eloy Opisso,et al.  Motor Cortex Plasticity during Unilateral Finger Movement with Mirror Visual Feedback , 2016, Neural plasticity.

[12]  Chad G. Rose,et al.  System Characterization of MAHI EXO-II: A Robotic Exoskeleton for Upper Extremity Rehabilitation. , 2014, Proceedings of the ASME Dynamic Systems and Control Conference. ASME Dynamic Systems and Control Conference.

[13]  A. Hill.  The heat of shortening and the dynamic constants of muscle , 1938 .

[14]  Andrea Deaconescu,et al.  Elbow joint rehabilitation equipment actuated by pneumatic muscles , 2017 .

[15]  Ming-Kun Chang,et al.  An adaptive self-organizing fuzzy sliding mode controller for a 2-DOF rehabilitation robot actuated by pneumatic muscle actuators , 2010 .

[16]  J. Huggins,et al.  Brain-computer interface: current and emerging rehabilitation applications. , 2015, Archives of physical medicine and rehabilitation.

[17]  Toshio Fukuda,et al.  Development of a wearable exoskeleton for daily forearm motion assist , 2005, Adv. Robotics.

[18]  Jiping He,et al.  RUPERT: An exoskeleton robot for assisting rehabilitation of arm functions , 2008, 2008 Virtual Rehabilitation.

[19]  Claude F. Touzet,et al.  Distributed Lazy Q-Learning for Cooperative Mobile Robots , 2004 .

[20]  Maarouf Saad,et al.  Development of a whole arm wearable robotic exoskeleton for rehabilitation and to assist upper limb movements , 2014, Robotica.

[21]  Aron Pujana-Arrese,et al.  Position/Force Control of a 1-DoF Set-up Powered by Pneumatic Muscles , 2009, ICINCO-RA.

[22]  J. H. Kim,et al.  Brain-machine Interface in Robot-assisted Neurorehabilitation for Patients with Stroke and Upper Extremity Weakness – the Therapeutic Turning Point , 2016 .

[23]  C. Phillips,et al.  Modeling the Dynamic Characteristics of Pneumatic Muscle , 2003, Annals of Biomedical Engineering.

[24]  Regan L. Mandryk,et al.  Brain and body interfaces: designing for meaningful interaction , 2011, CHI Extended Abstracts.

[25]  Eduardo Rocon,et al.  Evaluation of a wearable orthosis and an associated algorithm for tremor suppression , 2007, Physiological measurement.

[26]  J. Ushiba,et al.  Study for evaluation method of effect of BMI rehabilitation by using near infrared spectroscopy (NIRS) , 2010, Neuroscience Research.

[27]  Tae-Kyu Kwon,et al.  Assistance of the elbow flexion motion on the active elbow orthosis using muscular stiffness force feedback , 2011 .