We present an embedded system designed for enabling telemedicine and remote monitoring of the people's progresses during physical rehabilitation tasks. The system consists of a modular electronics designed to interface a matrix of 32 bendable force sensors (piezoresistive or piezoelectric) assembled on a flexible PCB. It implements the analog conditioning and digital processing of sensors readout to build a pressure map of the patients' activity with up to 62.5 ksps sampling rate. Moreover, the Wi-Fi interface integrated on the microcontroller allows a live communication between user and physician, in addition to standard local logging of workout information. The reduced power consumption in live streaming conditions (less than 750mW) permits more than 8 hours autonomy of the system with a standard battery supply. Results demonstrate the performance of the proposed mapping system.
Rossi, M., Rizzi, A., Lorenzelli, L., Brunelli, D. (2016). Remote rehabilitation monitoring with an IoT-enabled embedded system for precise progress tracking. Piscataway, New Jersey, USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/ICECS.2016.7841213].
Remote rehabilitation monitoring with an IoT-enabled embedded system for precise progress tracking
Brunelli, Davide
2016
Abstract
We present an embedded system designed for enabling telemedicine and remote monitoring of the people's progresses during physical rehabilitation tasks. The system consists of a modular electronics designed to interface a matrix of 32 bendable force sensors (piezoresistive or piezoelectric) assembled on a flexible PCB. It implements the analog conditioning and digital processing of sensors readout to build a pressure map of the patients' activity with up to 62.5 ksps sampling rate. Moreover, the Wi-Fi interface integrated on the microcontroller allows a live communication between user and physician, in addition to standard local logging of workout information. The reduced power consumption in live streaming conditions (less than 750mW) permits more than 8 hours autonomy of the system with a standard battery supply. Results demonstrate the performance of the proposed mapping system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
