Literature DB >> 2066869

Patient and staff acceptance of robotic technology in occupational therapy: a pilot study.

M P Dijkers1, P C deBear, R F Erlandson, K Kristy, D M Geer, A Nichols.   

Abstract

While the majority of applications of robotics in the field of rehabilitation focus on the development of smart aids for people without upper extremity function, there is also potential for the robot as a therapy "aide." We designed, built, and pilot-tested hardware and software that used a robot to provide muscle reeducation movement patterns after stroke. This is a report on a field trial, in which 11 occupational therapists used the system with 22 patients; each patient averaged 2.2 sessions. Based on information contained in the system database, a log, patient interviews, and therapist questionnaires, we evaluated safety, system utility, and patient and therapist acceptance. The results suggest that robotic treatment is safe and accepted (if not welcomed) by patients. The therapists expressed a qualified acceptance, suggesting several modifications to increase utility. The potential for the application of robotics in rehabilitation therapy is discussed in light of these findings.

Entities:  

Mesh:

Year:  1991        PMID: 2066869     DOI: 10.1682/jrrd.1991.04.0033

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  18 in total

1.  Robot-aided neurorehabilitation.

Authors:  H I Krebs; N Hogan; M L Aisen; B T Volpe
Journal:  IEEE Trans Rehabil Eng       Date:  1998-03

2.  The Present and Future of Robotic Technology in Rehabilitation.

Authors:  Jeffrey Laut; Maurizio Porfiri; Preeti Raghavan
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-11-19

Review 3.  Advances in upper limb stroke rehabilitation: a technology push.

Authors:  Rui C V Loureiro; William S Harwin; Kiyoshi Nagai; Michelle Johnson
Journal:  Med Biol Eng Comput       Date:  2011-07-20       Impact factor: 2.602

4.  Results of clinicians using a therapeutic robotic system in an inpatient stroke rehabilitation unit.

Authors:  Hussein A Abdullah; Cole Tarry; Cynthia Lambert; Susan Barreca; Brian O Allen
Journal:  J Neuroeng Rehabil       Date:  2011-08-26       Impact factor: 4.262

5.  Feasibility of the adaptive and automatic presentation of tasks (ADAPT) system for rehabilitation of upper extremity function post-stroke.

Authors:  Younggeun Choi; James Gordon; Hyeshin Park; Nicolas Schweighofer
Journal:  J Neuroeng Rehabil       Date:  2011-08-03       Impact factor: 4.262

6.  Robot-enhanced diabetes care for middle-aged and older adults living with diabetes in the community: A small sample size mixed-method evaluation.

Authors:  Ching-Ju Chiu; Lin-Chun Hua; Chieh-Ying Chou; Jung-Hsien Chiang
Journal:  PLoS One       Date:  2022-04-15       Impact factor: 3.240

Review 7.  A survey on robotic devices for upper limb rehabilitation.

Authors:  Paweł Maciejasz; Jörg Eschweiler; Kurt Gerlach-Hahn; Arne Jansen-Troy; Steffen Leonhardt
Journal:  J Neuroeng Rehabil       Date:  2014-01-09       Impact factor: 4.262

8.  Predictors of Functional Outcome in a Cohort of Hispanic Patients Using Exoskeleton Rehabilitation for Cerebrovascular Accidents and Traumatic Brain Injury.

Authors:  Lisa R Treviño; Peter Roberge; Michael E Auer; Angela Morales; Annelyn Torres-Reveron
Journal:  Front Neurorobot       Date:  2021-06-10       Impact factor: 2.650

Review 9.  Embracing change: practical and theoretical considerations for successful implementation of technology assisting upper limb training in stroke.

Authors:  Ananda Hochstenbach-Waelen; Henk A M Seelen
Journal:  J Neuroeng Rehabil       Date:  2012-08-02       Impact factor: 4.262

10.  Can force feedback and science learning enhance the effectiveness of neuro-rehabilitation? An experimental study on using a low-cost 3D joystick and a virtual visit to a zoo.

Authors:  Paolo Cappa; Andrea Clerico; Oded Nov; Maurizio Porfiri
Journal:  PLoS One       Date:  2013-12-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.