Literature DB >> 21796422

A robotic system to train activities of daily living in a virtual environment.

Marco Guidali1, Alexander Duschau-Wicke, Simon Broggi, Verena Klamroth-Marganska, Tobias Nef, Robert Riener.   

Abstract

In the past decade, several arm rehabilitation robots have been developed to assist neurological patients during therapy. Early devices were limited in their number of degrees of freedom and range of motion, whereas newer robots such as the ARMin robot can support the entire arm. Often, these devices are combined with virtual environments to integrate motivating game-like scenarios. Several studies have shown a positive effect of game-playing on therapy outcome by increasing motivation. In addition, we assume that practicing highly functional movements can further enhance therapy outcome by facilitating the transfer of motor abilities acquired in therapy to daily life. Therefore, we present a rehabilitation system that enables the training of activities of daily living (ADL) with the support of an assistive robot. Important ADL tasks have been identified and implemented in a virtual environment. A patient-cooperative control strategy with adaptable freedom in timing and space was developed to assist the patient during the task. The technical feasibility and usability of the system was evaluated with seven healthy subjects and three chronic stroke patients.

Entities:  

Mesh:

Year:  2011        PMID: 21796422     DOI: 10.1007/s11517-011-0809-0

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  31 in total

1.  Motor learning elicited by voluntary drive.

Authors:  Martin Lotze; Christoph Braun; Niels Birbaumer; Silke Anders; Leonardo G Cohen
Journal:  Brain       Date:  2003-04       Impact factor: 13.501

2.  Effects of intensity of rehabilitation after stroke. A research synthesis.

Authors:  G Kwakkel; R C Wagenaar; T W Koelman; G J Lankhorst; J C Koetsier
Journal:  Stroke       Date:  1997-08       Impact factor: 7.914

3.  Enhanced physical therapy improves recovery of arm function after stroke. A randomised controlled trial.

Authors:  A Sunderland; D J Tinson; E L Bradley; D Fletcher; R Langton Hewer; D T Wade
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-07       Impact factor: 10.154

4.  Improving backdrivability in geared rehabilitation robots.

Authors:  Tobias Nef; Peter Lum
Journal:  Med Biol Eng Comput       Date:  2009-01-30       Impact factor: 2.602

5.  Biofeedback in gait training with the robotic orthosis Lokomat.

Authors:  L Lünenburger; Gery Colombo; Robert Riener; Volker Dietz
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

6.  Patient-cooperative strategies for robot-aided treadmill training: first experimental results.

Authors:  Robert Riener; Lars Lünenburger; Saso Jezernik; Martin Anderschitz; Gery Colombo; Volker Dietz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-09       Impact factor: 3.802

7.  Overview of clinical trials with MIT-MANUS: a robot-aided neuro-rehabilitation facility.

Authors:  H I Krebs; N Hogan; B T Volpe; M L Aisen; L Edelstein; C Diels
Journal:  Technol Health Care       Date:  1999       Impact factor: 1.285

Review 8.  Virtual environments for motor rehabilitation: review.

Authors:  Maureen K Holden
Journal:  Cyberpsychol Behav       Date:  2005-06

9.  Design and control of RUPERT: a device for robotic upper extremity repetitive therapy.

Authors:  Thomas G Sugar; Jiping He; Edward J Koeneman; James B Koeneman; Richard Herman; H Huang; Robert S Schultz; D E Herring; J Wanberg; Sivakumar Balasubramanian; Pete Swenson; Jeffrey A Ward
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-09       Impact factor: 3.802

10.  Repetitive training of isolated movements improves the outcome of motor rehabilitation of the centrally paretic hand.

Authors:  C Bütefisch; H Hummelsheim; P Denzler; K H Mauritz
Journal:  J Neurol Sci       Date:  1995-05       Impact factor: 3.181

View more
  27 in total

1.  Trends in rehabilitation robotics.

Authors:  Nicolas Garcia; Jose M Sabater-Navarro; E Gugliemeli; A Casals
Journal:  Med Biol Eng Comput       Date:  2011-09-30       Impact factor: 2.602

2.  Hand-tool-tissue interaction forces in neurosurgery for haptic rendering.

Authors:  Marco Aggravi; Elena De Momi; Francesco DiMeco; Francesco Cardinale; Giuseppe Casaceli; Marco Riva; Giancarlo Ferrigno; Domenico Prattichizzo
Journal:  Med Biol Eng Comput       Date:  2015-12-31       Impact factor: 2.602

3.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy.

Authors:  Amy A Blank; James A French; Ali Utku Pehlivan; Marcia K O'Malley
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-09

4.  Human arm weight compensation in rehabilitation robotics: efficacy of three distinct methods.

Authors:  Fabian Just; Özhan Özen; Stefano Tortora; Verena Klamroth-Marganska; Robert Riener; Georg Rauter
Journal:  J Neuroeng Rehabil       Date:  2020-02-05       Impact factor: 4.262

5.  The effectiveness of robotic training depends on motor task characteristics.

Authors:  Laura Marchal-Crespo; Nicole Rappo; Robert Riener
Journal:  Exp Brain Res       Date:  2017-10-05       Impact factor: 1.972

6.  Cooperative Cooking: A Novel Virtual Environment for Upper Limb Rehabilitation.

Authors:  Maja Gorsic; Minh Ha Tran; Domen Novak
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

Review 7.  Virtual Reality in the Rehabilitation of Patients with Injuries and Diseases of Upper Extremities.

Authors:  Pinar Tokgöz; Susanne Stampa; Dirk Wähnert; Thomas Vordemvenne; Christoph Dockweiler
Journal:  Healthcare (Basel)       Date:  2022-06-16

8.  Comfort of two shoulder actuation mechanisms for arm therapy exoskeletons: a comparative study in healthy subjects.

Authors:  Tobias Nef; Robert Riener; René Müri; Urs P Mosimann
Journal:  Med Biol Eng Comput       Date:  2013-02-26       Impact factor: 2.602

9.  The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke.

Authors:  Sergi Bermúdez I Badia; M S Cameirão
Journal:  Stroke Res Treat       Date:  2012-04-29

10.  Design of a novel telerehabilitation system with a force-sensing mechanism.

Authors:  Songyuan Zhang; Shuxiang Guo; Baofeng Gao; Hideyuki Hirata; Hidenori Ishihara
Journal:  Sensors (Basel)       Date:  2015-05-19       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.