An unobtrusive sensing solution for home based post-stroke rehabilitation
Idongesit Ekerete, Chris Nugent, Jim McLaughlin · 2018
This paper proposes the use of unobtrusive sensing solutions to facilitate post-stroke rehabilitation exercises in home-based settings. Radar and thermal sensors are used to collect real-time data from a human subject as they perform rehabilitation exercises. The data collected is then compared with a gold standard exercise, which has been clinically prescribed, to allow feedback to be provided on how the exercises have been completed. The first iteration of the technical platform is presented and plans for its further development are outlined.