Literature DB >> 11833031

Driving characteristics of electric-powered wheelchair users: how far, fast, and often do people drive?

Rory A Cooper1, Tricia Thorman, Rosemarie Cooper, Michael J Dvorznak, Shirley G Fitzgerald, William Ammer, Guo Song-Feng, Michael L Boninger.   

Abstract

OBJECTIVES: To determine the driving characteristics of electric-powered wheelchair users during unrestricted community activities and to compare the activity levels among an active group and a group of regular users.
DESIGN: Multisite engineering evaluation of electric-powered wheelchair driving activity during unrestricted community mobility.
SETTING: Data were collected in the communities of Pittsburgh, PA, and the National Veterans Wheelchair Games (NVWG) in San Antonio, TX. PARTICIPANTS: Seventeen people participated, all of whom used electric-powered wheelchairs as their primary means of mobility. INTERVENTION: Each subject was asked standarized questions about self and wheelchair use. Data logger and sensor installed on wheelchair. Data downloaded from logger. MAIN OUTCOME MEASURES: Speed, distance traveled, and the time that each subject's personal wheelchair was being driven were recorded for 24hr/d over approximately 5 days for each subject by using a custom-built data logger.
RESULTS: The NVWG group traveled faster than the Pittsburgh group, but this difference was only statistically significant on the first day. The NVWG group was more likely to travel longer than the Pittsburgh group with significant differences seen in day 4 (P = .03) and day 5 (P = .05). Total distance traveled during the 5-day period and average distance traveled per day were also significantly different between the groups (P = .02 for both 5-day distance and daily distance), with the NVWG group traveling longer (17,164 +/- 8708m) when compared with the Pittsburgh group (8335 +/- 7074m) over the 5-day period. Both distance traveled and speed increased during afternoon and evening hours. The maximum distance traveled by any subject for each hour across the 2 groups was used to create the theoretic maximum distance day, which resulted in 7970m of driving.
CONCLUSION: Drivers of electric-powered wheelchairs are most active during the afternoon and evening hours. Over the 5-day period of this study, there was little variation in the speed or distance driven per day. The subjects participating in the NVWG were more active than their counterparts during a typical week at home. The maximum theoretic distance that a wheelchair user in our group would travel is less than 8km. The range of current electric-powered wheelchairs appears adequate, if not generous, for the subjects in our study. Copyright 2002 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation

Entities:  

Mesh:

Year:  2002        PMID: 11833031     DOI: 10.1053/apmr.2002.28020

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  10 in total

1.  A novel mobile-cloud system for capturing and analyzing wheelchair maneuvering data: A pilot study.

Authors:  Jicheng Fu; Maria Jones; Tao Liu; Wei Hao; Yuqing Yan; Gang Qian; Yih-Kuen Jan
Journal:  Assist Technol       Date:  2016

Review 2.  Automatic Detection and Classification of Unsafe Events During Power Wheelchair Use.

Authors:  Joelle Pineau; Athena K Moghaddam; Hiu Kim Yuen; Philippe S Archambault; François Routhier; François Michaud; Patrick Boissy
Journal:  IEEE J Transl Eng Health Med       Date:  2014-10-30       Impact factor: 3.316

3.  Integration of Pneumatic Technology in Powered Mobility Devices.

Authors:  Brandon Daveler; Hongwu Wang; Benjamin Gebrosky; Garrett G Grindle; Urs Schneider; Rory A Cooper
Journal:  Top Spinal Cord Inj Rehabil       Date:  2017

4.  Health risks of vibration exposure to wheelchair users in the community.

Authors:  Yasmin Garcia-Mendez; Jonathan L Pearlman; Michael L Boninger; Rory A Cooper
Journal:  J Spinal Cord Med       Date:  2013-07       Impact factor: 1.985

5.  Characterization of wheelchair maneuvers based on noisy inertial sensor data: a preliminary study.

Authors:  Jicheng Fu; Tao Liu; Maria Jones; Gang Qian; Yih-Kuen Jan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  User Assessment of a Novel Suspension for a Wheelchair-A Prospective, Randomized, Double Blind Trial.

Authors:  Uriel Giwnewer; Guy Rubin; Alex Friedman; Nimrod Rozen
Journal:  Geriatr Orthop Surg Rehabil       Date:  2020-12-28

7.  A Novel Mobile Device-Based Approach to Quantitative Mobility Measurements for Power Wheelchair Users.

Authors:  Jicheng Fu; Shuai Zhang; Hongwu Wang; Yan Daniel Zhao; Gang Qian
Journal:  Sensors (Basel)       Date:  2021-12-10       Impact factor: 3.847

8.  SWADAPT1: assessment of an electric wheelchair-driving robotic module in standardized circuits: a prospective, controlled repeated measure design pilot study.

Authors:  Emilie Leblong; Bastien Fraudet; Louise Devigne; Marie Babel; François Pasteau; Benoit Nicolas; Philippe Gallien
Journal:  J Neuroeng Rehabil       Date:  2021-09-16       Impact factor: 4.262

9.  Analysis of Whole-Body Vibration Using Electric Powered Wheelchairs on Surface Transitions.

Authors:  Jorge L Candiotti; Ahlad Neti; Sivashankar Sivakanthan; Rory A Cooper
Journal:  Vibration       Date:  2022-01-30

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
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.