The architecture of an innovative smart T-shirt based on the Internet of Medical Things paradigm

This paper deals with a description of an innovative Internet of Medical Things (IoMT) system for implementing personalized health services. The proposed IoMT system has the following advantages respect to the state-of-the-art systems available in literature: (i) it fuses the data provided by several sensors, inertial measurement unit, the bio-impedance and electrocardiogram, (ii) it uses Compressed Sensing (CS) of data prior to transmission, and (iii) it adopts distributed artificial intelligence at the edge for anomaly detection. A description of the specific features and requirements of the wearable device that will be embedded on a smart T-shirt is reported. According to the delineated requirements, an architecture for the wearable device is proposed. Finally the contribution of Artificial Intelligence in the proposed IoMT system is discussed, aiming at identifying anomalies and supporting the process of decision making in the early diagnosis of diseases both at individuals level (local knowledge) or groups of individuals level (global knowledge).