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ABSTRACT
In recent years, studies have increasingly employed data logger technologies to record objective driving and physiological characteristics of manual wheelchair users. However, the technologies used offer significant differences in characteristics, such as measured outcomes, ease of use, and level of burden. In order to identify and describe the extent of published research activity that relies on data logger technologies for manual wheelchair users, we performed a scoping review of the scientific and gray literature. Five databases were searched: Medline, Compendex, CINAHL, EMBASE, and Google Scholar. The 119 retained papers document a wide variety of logging devices and sensing technologies measuring a range of outcomes. The most commonly used technologies were accelerometers installed on the user (18.8%), odometers installed on the wheelchair (12.4%), accelerometers installed on the wheelchair (9.7%), and heart monitors (9.7%). Not surprisingly, the most reported outcomes were distance, mobility events, heart rate, speed/velocity, acceleration, and driving time. With decreasing costs and technological improvements, data loggers are likely to have future widespread clinical (and even personal) use. Future research may be needed to assess the usefulness of different outcomes and to develop methods more appropriate to wheelchair users in order to optimize the practicality of wheelchair data loggers.
Acknowledgments
François Routhier is a Fonds de recherche du Québec–Santé (FRSQ) Research Scholar (junior 1) [Grant #27088]. Jaimie F. Borisoff is the Canada Research Chair in Rehabilitation Engineering Design. The authors also want to thank Dan Leland of British Columbia Institute of Technology (BCIT) for his help with this work.
Funding
This study was funded by the Canadian Institutes of Health Research (CIHR) CanWheel team in Wheeled Mobility for Older Adults [AMG-100925].
