Literature DB >> 18566926

How many people would benefit from a smart wheelchair?

Richard C Simpson1, Edmund F LoPresti, Rory A Cooper.   

Abstract

Independent mobility is important, but some wheelchair users find operating existing manual or powered wheelchairs difficult or impossible. Challenges to safe, independent wheelchair use can result from various overlapping physical, perceptual, or cognitive symptoms of diagnoses such as spinal cord injury, cerebrovascular accident, multiple sclerosis, amyotrophic lateral sclerosis, and cerebral palsy. Persons with different symptom combinations can benefit from different types of assistance from a smart wheelchair and different wheelchair form factors. The sizes of these user populations have been estimated based on published estimates of the number of individuals with each of several diseases who (1) also need a wheeled mobility device and (2) have specific symptoms that could interfere with mobility device use.

Entities:  

Mesh:

Year:  2008        PMID: 18566926     DOI: 10.1682/jrrd.2007.01.0015

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


  11 in total

1.  The accuracy of new wheelchair users' predictions about their future wheelchair use.

Authors:  Helen Hoenig; Patricia Griffiths; Shanti Ganesh; Kevin Caves; Frances Harris
Journal:  Am J Phys Med Rehabil       Date:  2012-06       Impact factor: 2.159

2.  What do users want from "smart" wheelchairs?

Authors:  Elizabeth A Madigan; Wyatt S Newman
Journal:  NI 2012 (2012)       Date:  2012-06-23

3.  Power mobility with collision avoidance for older adults: user, caregiver, and prescriber perspectives.

Authors:  Rosalie H Wang; Alexandra Korotchenko; Laura Hurd Clarke; W Ben Mortenson; Alex Mihailidis
Journal:  J Rehabil Res Dev       Date:  2013

Review 4.  Mini-review: Robotic wheelchair taxonomy and readiness.

Authors:  Sivashankar Sivakanthan; Jorge L Candiotti; Andrea S Sundaram; Jonathan A Duvall; James Joseph Gunnery Sergeant; Rosemarie Cooper; Shantanu Satpute; Rose L Turner; Rory A Cooper
Journal:  Neurosci Lett       Date:  2022-01-29       Impact factor: 3.046

5.  Feasibility of the Enhancing Participation In the Community by improving Wheelchair Skills (EPIC Wheels) program: study protocol for a randomized controlled trial.

Authors:  Edward M Giesbrecht; William C Miller; Janice J Eng; Ian M Mitchell; Roberta L Woodgate; Charles H Goldsmith
Journal:  Trials       Date:  2013-10-24       Impact factor: 2.279

Review 6.  Adaptability of Assistive Mobility Devices and the Role of the Internet of Medical Things: Comprehensive Review.

Authors:  Daniel Ayo Oladele; Elisha Didam Markus; Adnan M Abu-Mahfouz
Journal:  JMIR Rehabil Assist Technol       Date:  2021-11-15

7.  Views of wheelchair users and caregivers regarding a passive safety monitoring system for electric powered wheelchair operators with cognitive impairment.

Authors:  William D Kearns; Adam J Becker; John P Condon; Victor Molinari; Ardis Hanson; William Conover; James L Fozard
Journal:  Assist Technol       Date:  2019-11-21

8.  Design and validation of an intelligent wheelchair towards a clinically-functional outcome.

Authors:  Patrice Boucher; Amin Atrash; Sousso Kelouwani; Wormser Honoré; Hai Nguyen; Julien Villemure; François Routhier; Paul Cohen; Louise Demers; Robert Forget; Joelle Pineau
Journal:  J Neuroeng Rehabil       Date:  2013-06-17       Impact factor: 4.262

9.  Evaluation of an intelligent wheelchair system for older adults with cognitive impairments.

Authors:  Tuck-Voon How; Rosalie H Wang; Alex Mihailidis
Journal:  J Neuroeng Rehabil       Date:  2013-08-07       Impact factor: 4.262

10.  Feature determination from powered wheelchair user joystick input characteristics for adapting driving assistance.

Authors:  Michael Gillham; Matthew Pepper; Steve Kelly; Gareth Howells
Journal:  Wellcome Open Res       Date:  2017-09-27
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