Literature DB >> 10917267

Adequacy of power wheelchair control interfaces for persons with severe disabilities: a clinical survey.

L Fehr1, W E Langbein, S B Skaar.   

Abstract

The extreme difficulty with which persons with severe disabilities have been taught to maneuver a power wheelchair has been described in case studies, and anecdotal evidence suggests the existence of a patient population for whom mobility is severely limited if not impossible given currently available power wheelchair control interfaces. Since our review of the literature provided little evidence either in support or refutation of the adequacy of existing power wheelchair control interfaces, we surveyed 200 practicing clinicians, asking them to provide information about their patients and to give their impressions of the potential usefulness of a new power wheelchair navigation technology. Significant survey results were: Clinicians indicated that 9 to 10 percent of patients who receive power wheelchair training find it extremely difficult or impossible to use the wheelchair for activities of daily living. When asked specifically about steering and maneuvering tasks, the percentage of patients reported to find these difficult or impossible jumped to 40. Eighty-five percent of responding clinicians reported seeing some number of patients each year who cannot use a power wheelchair because they lack the requisite motor skills, strength, or visual acuity. Of these clinicians, 32 percent (27 percent of all respondents) reported seeing at least as many patients who cannot use a power wheelchair as who can. Nearly half of patients unable to control a power wheelchair by conventional methods would benefit from an automated navigation system, according to the clinicians who treat them. We believe these results indicate a need, not for more innovation in steering interfaces, but for entirely new technologies for supervised autonomous navigation.

Entities:  

Mesh:

Year:  2000        PMID: 10917267

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


  37 in total

1.  Virtual electric power wheelchair driving performance of individuals with spastic cerebral palsy.

Authors:  Brad E Dicianno; Harshal Mahajan; Alcinto S Guirand; Rory A Cooper
Journal:  Am J Phys Med Rehabil       Date:  2012-10       Impact factor: 2.159

2.  Functional reorganization of upper-body movement after spinal cord injury.

Authors:  Maura Casadio; Assaf Pressman; Alon Fishbach; Zachary Danziger; Santiago Acosta; David Chen; Hsiang-Yi Tseng; Ferdinando A Mussa-Ivaldi
Journal:  Exp Brain Res       Date:  2010-10-24       Impact factor: 1.972

3.  Tuning algorithms for control interfaces for users with upper-limb impairments.

Authors:  Alcinto S Guirand; Brad E Dicianno; Harshal Mahajan; Rory A Cooper
Journal:  Am J Phys Med Rehabil       Date:  2011-12       Impact factor: 2.159

4.  Power wheelchair driving challenges in the community: a users' perspective.

Authors:  Caryne Torkia; Denise Reid; Nicol Korner-Bitensky; Dahlia Kairy; Paula W Rushton; Louise Demers; Philippe S Archambault
Journal:  Disabil Rehabil Assist Technol       Date:  2014-03-18

5.  Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body-Machine Interface.

Authors:  Ismael Seanez-Gonzalez; Camilla Pierella; Ali Farshchiansadegh; Elias B Thorp; Farnaz Abdollahi; Jessica P Pedersen; Ferdinando A Sandro Mussa-Ivaldi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-12-15       Impact factor: 3.802

Review 6.  Sensory motor remapping of space in human-machine interfaces.

Authors:  Ferdinando A Mussa-Ivaldi; Maura Casadio; Zachary C Danziger; Kristine M Mosier; Robert A Scheidt
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

7.  Comparison of virtual wheelchair driving performance of people with traumatic brain injury using an isometric and a conventional joystick.

Authors:  Harshal Mahajan; Donald M Spaeth; Brad E Dicianno; Diane M Collins; Michael L Boninger; Rory A Cooper
Journal:  Arch Phys Med Rehabil       Date:  2011-08       Impact factor: 3.966

8.  The remapping of space in motor learning and human-machine interfaces.

Authors:  F A Mussa-Ivaldi; Z Danziger
Journal:  J Physiol Paris       Date:  2009-08-07

9.  The tongue enables computer and wheelchair control for people with spinal cord injury.

Authors:  Jeonghee Kim; Hangue Park; Joy Bruce; Erica Sutton; Diane Rowles; Deborah Pucci; Jaimee Holbrook; Julia Minocha; Beatrice Nardone; Dennis West; Anne Laumann; Eliot Roth; Mike Jones; Emir Veledar; Maysam Ghovanloo
Journal:  Sci Transl Med       Date:  2013-11-27       Impact factor: 17.956

Review 10.  Joystick control for powered mobility: current state of technology and future directions.

Authors:  Brad E Dicianno; Rory A Cooper; John Coltellaro
Journal:  Phys Med Rehabil Clin N Am       Date:  2010-02       Impact factor: 1.784

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