The access to patient-related information during
decision-making and the information provided by training
equipment, in the present, are still limited that made the objective
evaluation of physical rehabilitation effectiveness a difficult task.
The paper focuses on smart training equipment, expressed by
smart walkers and crutches, for physical therapy monitoring. The
used HMIs for visualization of the signals delivered by the
measurement channels embedded on the level of training
equipment are expressed by mobile devices and appropriate APPs.
The implemented APPs provide appropriate information for
physiotherapist about the personal health record and metrics
associated with the interaction between patient and the
instrumented equipment during rehabilitation sessions. Novel
sensing solutions expressed by piezo resistive force sensors, MEMS
inertial sensors and Doppler radar sensors used to sense the user
during training are described. The appropriate processing of the
data provided by smart objects as part of smart physiotherapy
ecosystem permits to extract information about the rehabilitation
outcome.