NDLI: Design Issues for Therapeutic Robot Systems: Results from a Survey of Physiotherapists

Content Provider	Springer Nature Link
Author	Lee, Moonhee Rittenhouse, Matheson Abdullah, Hussein A.
Copyright Year	2005
Abstract	Over the years, research into rehabilitation robots has increased considerably. Using robots for rehabilitation can improve persons with physical disabilities to perform the basic activities of daily living. However, rehabilitation robots are not welcome yet in clinical environments. While surveys concerning how patients respond to robots used for rehabilitation have been conducted, no survey exists in the literature concerning how the therapists themselves think of these robotic devices, and what functionality they should possess in order to be effective. This paper presents a survey of physiotherapists concerning their thoughts, experience, and what functionality should be included in robots used for rehabilitation. In particular, the therapists were asked about the development of an intelligent robotic device capable of performing repetitive tasks for patients who suffer from reduced upper and lower limb mobility. In general, the results from this survey suggest that therapists respond positively to the idea of robotic devices in a clinical setting. Furthermore, the majority of respondents are interested in rehabilitation robotics. The results of the survey will be very helpful in the design of robotic systems for use during physiotherapy.
Starting Page	239
Ending Page	252
Page Count	14
File Format	PDF
ISSN	09210296
Journal	Journal of Intelligent & Robotic Systems
Volume Number	42
Issue Number	3
e-ISSN	15730409
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2005-01-01
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	rehabilitation robotics limb injury physiotherapists design requirements survey therapeutic robot design usability Artificial Intelligence (incl. Robotics) Mechanical Engineering Automation and Robotics Electronic and Computer Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Software

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