Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-14T07:10:27.150Z Has data issue: false hasContentIssue false
  • English
  • Français

Robotic stroke therapy assistant

Published online by Cambridge University Press:  28 January 2003

Richard M. Mahoney ,
H. F. Machiel Van der Loos ,
Peter S. Lum  and
Chuck Burgar
Richard M. Mahoney
Affiliation:
Rehabilitation Technologies Division, Applied Resources Corp., 1275 Bloomfield Avenue, Fairfield, NJ 07004 (USA)
H. F. Machiel Van der Loos
Affiliation:
Veterans Affairs Palo Alto Healthcare System, Rehabilitation Research and Development Center, and Department of Functional Restoration, Stanford University, Palo Alto, California (USA)
Peter S. Lum
Affiliation:
Veterans Affairs Palo Alto Healthcare System, Rehabilitation Research and Development Center, and Department of Functional Restoration, Stanford University, Palo Alto, California (USA)
Chuck Burgar
Affiliation:
Veterans Affairs Palo Alto Healthcare System, Rehabilitation Research and Development Center, and Department of Functional Restoration, Stanford University, Palo Alto, California (USA)
Get access Rights & Permissions [Opens in a new window]

Abstract

The Rehabilitation Technologies Division of Applied Resources Corp. (RTD-ARC) has engaged in a Phase I effort to commercialize a robotic bi-manual therapy machine for use in stroke rehabilitation, in cooperation with the VA Rehabilitation R&D Center in Palo Alto. The robotic therapy device, called ARCMIME here in order to differentiate it from its clinical predecessor, has the potential to improve rehabilitation outcomes significantly for individuals who have upper limb impairments due to stroke and other brain injuries.

This paper describes design considerations and clinical outcomes with regards to the Phase I system. It was found that the kinematically simpler system adequately replicated the data outcomes of the more sophisticated PUMA-based experimental test rig.

Keywords

Stroke therapyARCMIMERehabilitationRobots
Type
Research Article
Information
Robotica , Volume 21 , Issue 1 , January 2003 , pp. 33 - 44
Copyright
© 2003 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)