A Wireless Body Area Network for Remote Observation of Physiological Signals The objective of this work is to describe the design process of a wireless body area network (WBAN) for the remote observation of multiple physiological signals from a patient. Various sensors such as temperature, heart rate monitor utilizing electrocardiography, and accelerometer to detect fall and seizure conditions were integrated in the WBAN. Sensed data is wirelessly transmitted to the central control unit (CCU) that is associated with a remote base station. For benchmarking, medically certified sensors were employed to validate wearable sensors data. The sensor information can be ported in the cloud environment using CCUbased gateway with Global System for Mobile communication (GSM) modem capability. This mechanism is facilitating remote access to sensors information. To connect Radio Frequency (RF) units wirelessly, Zigbee mesh topology was adopted. In this way, they can be remotely overseen, managed and controlled by assigned staff. The presented prototype featuring the desired WBAN system performance was evaluated with different human postures and moving scenarios.

Contactless measurement of physiological parameters The possibility of remote measurement of vital parameters makes it possible to implement telemedicine systems. However these systems are of particular interest for subjects who, due to age or pathologies, are weak and fragile. For these subjects, the management of devices for measuring vital parameters that must be appropriately positioned in contact with the skin, in fixed positions, is difficult. For this reason, in this paper two technologies are shown for the noncontact measurement of two physiological parameters, heart rate and respiratory rate, based on the acquisition and processing of video signals and radar signals. The techniques presented are based on the use of commercial devices. The use of these technologies simplifies the acquisition of vital parameters compared to traditional technologies. The reliability of the measured values was evaluated by comparing the values obtained with a pulse oximeter and an app on a smartphone.