Literature DB >> 20698789

Stroke participants' perceptions of robotic and electrical stimulation therapy: a new approach.

Ann-Marie Hughes1, Jane Burridge, Chris T Freeman, Maggie Donnovan-Hall, Paul H Chappell, Paul L Lewin, Eric Rogers, Bridget Dibb.   

Abstract

PURPOSE: User perceptions are critical, yet often ignored factors in the design and development of rehabilitation technologies. In this article, measures for collection of patient perceptions are developed and applied to a novel upper limb workstation that combines robotic therapy and electrical stimulation (ES).
METHOD: Five participants with chronic upper limb hemiplegia post-stroke used a robotic workstation to undertake supported tracking tasks augmented by precisely controlled ES to their triceps muscle. Following a 6 week trial, a purpose designed set of questions was developed and individual interviews were conducted by an independent health psychologist.
RESULTS: The simple, quick to administer question set showed that participants had a positive response to the system, and contributed valuable feedback with regard to its usability and effectiveness. Participants want a home-based system targeting their whole arm.
CONCLUSION: This article demonstrates the value in assessing user perceptions of a rehabilitation system via a simple question set. While the results of this study have implications for a wider audience, our recommendations are for a qualitative study to develop a generic evaluation tool which could be used across the growing number of devices to provide feedback to enhance future development of any new technology for rehabilitation.

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Mesh:

Year:  2010        PMID: 20698789     DOI: 10.3109/17483107.2010.509882

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  9 in total

Review 1.  Iterative learning control with applications in energy generation, lasers and health care.

Authors:  E Rogers; O R Tutty
Journal:  Proc Math Phys Eng Sci       Date:  2016-09       Impact factor: 2.704

2.  For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human.

Authors:  Ekaterina Ivanova; Gerolamo Carboni; Jonathan Eden; Jorg Kruger; Etienne Burdet
Journal:  IEEE Open J Eng Med Biol       Date:  2020-04-16

3.  The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study.

Authors:  Katie L Meadmore; Timothy A Exell; Emma Hallewell; Ann-Marie Hughes; Chris T Freeman; Mustafa Kutlu; Valerie Benson; Eric Rogers; Jane H Burridge
Journal:  J Neuroeng Rehabil       Date:  2014-06-30       Impact factor: 4.262

4.  A systematic review on the usability of robotic and virtual reality devices in neuromotor rehabilitation: patients' and healthcare professionals' perspective.

Authors:  Francesco Zanatta; Anna Giardini; Antonia Pierobon; Marco D'Addario; Patrizia Steca
Journal:  BMC Health Serv Res       Date:  2022-04-20       Impact factor: 2.908

5.  Assistive Technology in Multiple Sclerosis Patients-Two Points of View.

Authors:  Agnieszka Korchut; Veronique Petit; Ewelina Szwedo-Brzozowska; Konrad Rejdak
Journal:  J Clin Med       Date:  2022-07-14       Impact factor: 4.964

6.  Using mixed methods to evaluate efficacy and user expectations of a virtual reality-based training system for upper-limb recovery in patients after stroke: a study protocol for a randomised controlled trial.

Authors:  Corina Schuster-Amft; Kynan Eng; Isabelle Lehmann; Ludwig Schmid; Nagisa Kobashi; Irène Thaler; Martin L Verra; Andrea Henneke; Sandra Signer; Michael McCaskey; Daniel Kiper
Journal:  Trials       Date:  2014-09-06       Impact factor: 2.279

Review 7.  A Systematic Review on Existing Measures for the Subjective Assessment of Rehabilitation and Assistive Robot Devices.

Authors:  Yiannis Koumpouros
Journal:  J Healthc Eng       Date:  2016       Impact factor: 2.682

8.  Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study.

Authors:  F Resquín; J Gonzalez-Vargas; J Ibáñez; F Brunetti; I Dimbwadyo; L Carrasco; S Alves; C Gonzalez-Alted; A Gomez-Blanco; J L Pons
Journal:  J Neuroeng Rehabil       Date:  2017-10-12       Impact factor: 4.262

Review 9.  Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

Authors:  Despina Laparidou; Ffion Curtis; Joseph Akanuwe; Khaled Goher; A Niroshan Siriwardena; Ayse Kucukyilmaz
Journal:  J Neuroeng Rehabil       Date:  2021-12-25       Impact factor: 5.208

  9 in total

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