Literature DB >> 19941440

The participation and activity measurement system: an example application among people who use wheeled mobility devices.

Frances Harris1, Stephen Sprigle, Sharon Eve Sonenblum, Christine L Maurer.   

Abstract

PURPOSE: To present the Participation and Activity Measurement System (PAMS), a system designed to examine activity and participation among people who use wheeled mobility devices.
METHODS: Description of PAMS' components and an example of its application among people who use tilt-in-space wheelchairs.
RESULTS: PAMS combines objective and subjective descriptions of mobility-based activities within a person's home and community. By applying technologies such as wheel revolution counters, seat occupancy sensors and global positioning systems, PAMS captures diverse metrics of wheelchair use including destinations, wheeled distance, duration of occupancy and the use of specialised features such as tilt. These metrics also provide the basis for a prompted recall interview designed to elicit contextual data about wheelchair use within a person's home and community. A recent study among people who use tilt-in-space wheelchairs demonstrates the components and application of PAMS.
CONCLUSIONS: The combination of objective and subjective data afforded by the application of PAMS reflects a complex relationship between wheelchair use and the role of mobility as people go about their daily home and community activities. PAMS can be adapted to a variety of research questions and may be used as an alternative or supplement to self-report assessments of activity and participation.

Entities:  

Mesh:

Year:  2010        PMID: 19941440     DOI: 10.3109/17483100903100293

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  7 in total

1.  Effect of wheelchair tilt-in-space and recline angles on skin perfusion over the ischial tuberosity in people with spinal cord injury.

Authors:  Yih-Kuen Jan; Maria A Jones; Meheroz H Rabadi; Robert D Foreman; Amy Thiessen
Journal:  Arch Phys Med Rehabil       Date:  2010-11       Impact factor: 3.966

2.  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 3.  How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Authors:  David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

4.  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

5.  Applying Environmental Context to Rehabilitation Research Using Geographic Information Systems and Global Positioning Systems Geospatial Technologies.

Authors:  Dara V Chan; Adam Mann; Sucharita Gopal
Journal:  Rehabil Res Policy Educ       Date:  2021

6.  Physical activity among persons aging with mobility disabilities: shaping a research agenda.

Authors:  Dori E Rosenberg; Charles H Bombardier; Jeanne M Hoffman; Basia Belza
Journal:  J Aging Res       Date:  2011-06-26

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

  7 in total

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