Development of a telemedicine-oriented gait analysis system based on inertial sensors

The role of the telemedicine is becoming more relevant in the last years with the increasing ageing of the population. This paper aims to describe a telemedicine-oriented system developed for the assessment of a person's mobility during the Extended Timed Up and Go (ETUG) test. A wireless sensor network composed of 3 inertial platforms was mounted on the subject's chest and legs and recorded the data during the execution of the test. Significant motor features were extracted by means of different algorithms, which were later integrated in a cloud-based Android application. Preliminary results show the capability of the system to identify the assessment features, allowing the medical staff to properly evaluate the physical performances of their patients.