Literature DB >> 17894269

Design and validation of a rehabilitation robotic exoskeleton for tremor assessment and suppression.

E Rocon1, J M Belda-Lois, A F Ruiz, M Manto, J C Moreno, J L Pons.   

Abstract

Exoskeletons are mechatronic systems worn by a person in such a way that the physical interface permits a direct transfer of mechanical power and exchange of information. Upper limb robotic exoskeletons may be helpful for people with disabilities and/or limb weakness or injury. Tremor is the most common movement disorder in neurological practice. In addition to medication, rehabilitation programs, and deep brain stimulation, biomechanical loading has appeared as a potential tremor suppression alternative. This paper introduces the robotic exoskeleton called WOTAS (wearable orthosis for tremor assessment and suppression) that provides a means of testing and validating nongrounded control strategies for orthotic tremor suppression. This paper describes in detail the general concept for WOTAS, outlining the special features of the design and selection of system components. Two control strategies developed for tremor suppression with exoskeletons are described. These two strategies are based on biomechanical loading and notch filtering the tremor through the application of internal forces. Results from experiments using these two strategies on patients with tremor are summarized. Finally, results from clinical trials are presented, which indicate the feasibility of ambulatory mechanical suppression of tremor.

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Year:  2007        PMID: 17894269     DOI: 10.1109/TNSRE.2007.903917

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  36 in total

1.  Electrical stimulation for the suppression of pathological tremor.

Authors:  Lana Popović Maneski; Nikola Jorgovanović; Vojin Ilić; Strahinja Došen; Thierry Keller; Mirjana B Popović; Dejan B Popović
Journal:  Med Biol Eng Comput       Date:  2011-07-14       Impact factor: 2.602

2.  Oscillator-based assistance of cyclical movements: model-based and model-free approaches.

Authors:  Renaud Ronsse; Tommaso Lenzi; Nicola Vitiello; Bram Koopman; Edwin van Asseldonk; Stefano Marco Maria De Rossi; Jesse van den Kieboom; Herman van der Kooij; Maria Chiara Carrozza; Auke Jan Ijspeert
Journal:  Med Biol Eng Comput       Date:  2011-09-01       Impact factor: 2.602

3.  Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study.

Authors:  Mahdi Abbasi; Aref Afsharfard; Roya Arasteh; Javad Safaie
Journal:  Med Biol Eng Comput       Date:  2018-01-03       Impact factor: 2.602

4.  Incorporating feedback from multiple sensory modalities enhances brain-machine interface control.

Authors:  Aaron J Suminski; Dennis C Tkach; Andrew H Fagg; Nicholas G Hatsopoulos
Journal:  J Neurosci       Date:  2010-12-15       Impact factor: 6.167

5.  Active elbow flexion is possible in C4 quadriplegia using hybrid assistive limb (HAL®) technology: A case study.

Authors:  Yukiyo Shimizu; Hideki Kadone; Shigeki Kubota; Akira Ikumi; Tetsuya Abe; Aiki Marushima; Tomoyuki Ueno; Ayumu Endo; Hiroaki Kawamoto; Kousaku Saotome; Akira Matsushita; Akira Matsumura; Yoshiyuki Sankai; Yasushi Hada; Masashi Yamazaki
Journal:  J Spinal Cord Med       Date:  2017-03-29       Impact factor: 1.985

Review 6.  Emerging strategies in the management of essential tremor.

Authors:  Peter Hedera
Journal:  Ther Adv Neurol Disord       Date:  2016-11-30       Impact factor: 6.570

7.  A noninvasive handheld assistive device to accommodate essential tremor: a pilot study.

Authors:  Anupam Pathak; John A Redmond; Michael Allen; Kelvin L Chou
Journal:  Mov Disord       Date:  2013-12-27       Impact factor: 10.338

8.  Robotics to enable older adults to remain living at home.

Authors:  Alan J Pearce; Brooke Adair; Kimberly Miller; Elizabeth Ozanne; Catherine Said; Nick Santamaria; Meg E Morris
Journal:  J Aging Res       Date:  2012-12-04

Review 9.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

10.  Seven capital devices for the future of stroke rehabilitation.

Authors:  M Iosa; G Morone; A Fusco; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; L Pratesi; S Paolucci
Journal:  Stroke Res Treat       Date:  2012-12-13
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