Literature DB >> 28662364

Data Logger Technologies for Powered Wheelchairs: A Scoping Review.

François Routhier1,2, Josiane Lettre2, William C Miller3,4,5, Jaimie F Borisoff4,6, Kate Keetch3,5, Ian M Mitchell7.   

Abstract

In recent years, studies increasingly employed data loggers to record the objective behaviors of powered wheelchair users. Of the data logging work reported in the literature, the technologies used offer marked differences in characteristics. In order to identify and describe the extent of published research activity that relies on data logger technologies for powered wheelchairs, we performed a scoping review of the scientific and grey literature. This scoping review, complementary to a previous one related to manual wheelchairs, is part of a process aiming to help further the development and increase the functionality of data loggers with wheelchairs. Five databases were searched: Medline, Compendex, CINAHL, EMBASE, Google Scholar. Sixty papers were retained for analysis. The most frequently used technologies were all installed on the wheelchair: 19.0% were accelerometers, 14.6% were pressure sensors or switches, 13.9% were odometers, 10.9% were global positioning systems, 9.5% were tilt sensors, and 7.3% were force-sensing technologies. The most reported outcomes were pressure-relief activities (17.3%), distance traveled (9.3%), mobility events (8.9%), acceleration (8.5%), and sitting time (6.9%). Future research may be needed to assess the usefulness of different outcomes and to develop methods more appropriate to optimize the practicality of wheelchair data loggers.

Keywords:  Data loggers; powered wheelchair; scoping review; wheelchair

Mesh:

Year:  2017        PMID: 28662364     DOI: 10.1080/10400435.2017.1340913

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  5 in total

1.  Estimation of Steering and Throttle Angles of a Motorized Mobility Scooter with Inertial Measurement Units for Continuous Quantification of Driving Operation.

Authors:  Jun Suzurikawa; Shunsuke Kurokawa; Haruki Sugiyama; Kazunori Hase
Journal:  Sensors (Basel)       Date:  2022-04-20       Impact factor: 3.847

2.  SenseJoy, a pluggable solution for assessing user behavior during powered wheelchair driving tasks.

Authors:  Olivier Rabreau; Sylvain Chevallier; Luc Chassagne; Eric Monacelli
Journal:  J Neuroeng Rehabil       Date:  2019-11-06       Impact factor: 4.262

3.  Development of a Data Logger for Capturing Human-Machine Interaction in Wheelchair Head-Foot Steering Sensor System in Dyskinetic Cerebral Palsy.

Authors:  Sotirios Gakopoulos; Ioana Gabriela Nica; Saranda Bekteshi; Jean-Marie Aerts; Elegast Monbaliu; Hans Hallez
Journal:  Sensors (Basel)       Date:  2019-12-07       Impact factor: 3.576

4.  Improving wheelchair route planning through instrumentation and navigation systems.

Authors:  Dzenan Dzafic; Jorge L Candiotti; Rory A Cooper
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2020-07

5.  Development of a Web-Based Monitoring System for Power Tilt-in-Space Wheelchairs: Formative Evaluation.

Authors:  Charles Campeau-Vallerand; François Michaud; François Routhier; Philippe S Archambault; Dominic Létourneau; Dominique Gélinas-Bronsard; Claudine Auger
Journal:  JMIR Rehabil Assist Technol       Date:  2019-10-26
  5 in total

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