Comprehensive Example Analysis on Main Technology of Exoskeletal Robot System for Upper Limb Rehabilitation

Many medical treatments need to confront problem of upper limbs’ rehabilitation. Major function of exoskeletal robot system for upper limbs rehabilitation is to assist patient to carry out upper limbs’ rehabilitation training. Main technology of exoskeletal robot system for upper limbs rehabilitation includes design of mechanical structure of exoskeletal robot, design of control system of exoskeletal robot and implemention of data and information transmission between exoskeletal robot and upper limbs of human body. Currently implemention of data and information transmission rely mainly on methods of acquiring sEMG signal and force feedback. Reviewing and analyzing the specific technical examples will be important way in improving and upgrading the technology in future. Current development trend of main technology is to advance degree of comfort, accuracy and effect in rehabilitation training. Further development trend of main technology henceforth is people-oriented, strengthening effect, improving efficiency, optimizing structure and reducing energy consumption that follow claims of medical treatment.

[1]  M.K. O'Malley,et al.  Design of a haptic arm exoskeleton for training and rehabilitation , 2006, IEEE/ASME Transactions on Mechatronics.

[2]  S. Kousidou,et al.  Assistive Exoskeleton for Task Based Physiotherapy in 3-Dimensional Space , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[3]  Alexandre Balbinot,et al.  Upper-limb movement classification through logistic regression sEMG signal processing , 2015, 2015 Latin America Congress on Computational Intelligence (LA-CCI).

[4]  Nikolaos G. Tsagarakis,et al.  Development and Control of a ‘Soft-Actuated’ Exoskeleton for Use in Physiotherapy and Training , 2003, Auton. Robots.

[5]  N. Hogan,et al.  Robot-aided neurorehabilitation. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[6]  W. Otten,et al.  Implicit Normativity in Evidence-Based Medicine: A Plea for Integrated Empirical Ethics Research , 2003, Health Care Analysis.

[7]  M. Crary,et al.  Functional Benefits of Dysphagia Therapy Using Adjunctive sEMG Biofeedback , 2004, Dysphagia.

[8]  S. Hesse,et al.  Upper and lower extremity robotic devices to promote motor recovery after stroke -recent developments , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Toshio Fukuda,et al.  Design and control of an exoskeleton system for human upper-limb motion assist , 2003, Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003).

[10]  G. E. Gray,et al.  Evidence-Based Medicine and Psychiatric Practice , 2004, Psychiatric Quarterly.

[11]  R Merletti,et al.  Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[12]  Jiping He,et al.  Design and Control of RUPERT: A Device for Robotic Upper Extremity Repetitive Therapy , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[13]  R Merletti,et al.  Indices of muscle fatigue. , 1991, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.