4 results match your criteria: "Italy. giovanni.magenes@eucentre.it[Affiliation]"

Biosensing and environmental sensing for emergency and protection e-Textiles.

Annu Int Conf IEEE Eng Med Biol Soc

May 2012

Department of Computer Engineering and Systems Science of the University of Pavia and with the Eucentre, Pavia, Italy.

The ProeTEX project introduced for the first time a complete set of smart garments integrating sensors for the physiological and environmental monitoring of emergency operators. These "smart" garments have been deeply tested in emergency-like contexts by professional rescuers, in order to assess real-time acquisition, processing and transmission of data from moving subjects while operating in harsh conditions. Here we report an overview of the main results obtained during field trials performed in 2010 by Italian and French professional firefighters, in specialized training centers, while dressing the ProeTEX prototypes.

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The final generation of ProeTEX prototypes has been delivered in April 2010: it is based on two sets of sensorized garments devoted to monitor the health status of emergency operators working in harsh environments. This new release of garments shows several improvements with respect to the previous ones, and it is characterized by a major specialization to the requirements imposed by the different categories of end-users (Fire-Fighters, Civil Protection rescuers) addressed by the project. Each ProeTEX prototype is provided with a communication infrastructure allowing the real-time remote transmission of data recorded by the wearable sensors, and the presentation of such data to possible managers supervising the activities of the first line responders.

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The recent disaster provoked by the earthquake in middle Italy has pointed out the need for minimizing risks endangering rescuers' lives. An European Project called ProeTEX (Protection e-Textiles: MicroNanoStructured fiber systems for Emergency-Disaster Wear) aims at developing smart garments able to monitor physiological and environmental parameters of emergency operators. The goal is to realize a wearable system detecting health state parameters of the users (heart rate, breathing rate, body temperature, blood oxygen saturation, position, activity and posture) and environmental variables (external temperature, presence of toxic gases and heat flux passing through the garments) and remotely transmitting useful information to the operation manager.

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In this paper we propose a new method to enhance prosthetics functionality, that integrates concepts extracted from the neuroscience background with the technology mainly exploited in prosthetic control. This new method allows controlling multi-degrees of freedom (d.o.

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