James, CJ; Amor, JD; Holloway, C; Cheng, T-J; Kenney, L; (2016) AART-BC: a sensor system for monitoring Assistive Technology use beyond the clinic. In: Wheeler, B and Wang, MD and Principe, J and Carmena, J and Sanchez, J and Patton, J, (eds.) 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). (pp. pp. 3151-3154). IEEE

Preview

Text James_AART-BC_sensor_system.pdf - Accepted Version Download (1MB) | Preview

Abstract

A wide range of assistive and rehabilitative technologies (ART) are available to assist with mobility and upper limb function. However, anecdotal evidence suggests many of the devices prescribed, or purchased, are either poorly used, or rejected entirely. This situation is costly, both for the healthcare provider and the user, and may be leading to secondary consequences, such as falls and/or social isolation. This paper reports on the development and initial feasibility testing of a system for monitoring when and how assistive devices are used outside of the clinic setting, and feeding this information to the device user themselves and/or prescribing clinician (where appropriate). Illustrative data from multiple time-synchronized device and body worn sensors are presented on a wheelchair user and a user of a “rollator” walking frame, moving along a walkway. Observation of the sensor data in both cases showed characteristic signatures corresponding to individual “pushes”. In parallel with this work, other project partners are exploring clinician and patient data requirements, as well we sensor set acceptability The initial results highlight the potential for the approach and demonstrate the need for further work to reduce and optimize the sensor set.

Download activity - last month

Export as XMLCSVJSON

Download activity - last 12 months

Export as XMLCSVJSON

Downloads by country - last 12 months

Export as JSONXMLCSV

Archive Staff Only

View Item