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SWeaT

 Marie Curie Acions logoUNIPI Team Leader: Prof. Paolo Bruschi, Dipartimento di Ingegneria dell'Informazione

MSCA Fellow: Dr. Michele Dei, Dipartimento di Ingegneria dell'Informazione

 

Internet-of-Wearables (IoW) is already a reality embodied in commercial products for fitness, such as Fitbit, Apple Watch. These devices record activity data (speed, distance, heart-rate, impact forces) and are connected to the Cloud through Bluetooth enabled access points.

Smart wearables of the next generation of will integrate bio-chemical sensing to capture body dynamics at molecular level and in real time. Sweat, naturally produced by the human body, will enable non-invasive access to rich sets of bio-markers. However, sweat-based IoW devices face many challenges: bio-compatibility, flexibility, durability, data integrity, low-power consumption, lightness in weight and low-cost construction.

SWeaT (Smart Wearable for Fatigue Tracking) will address all these issues and will enable coaches, physicians and trainers to better analyze the performances/fatigue trade-off by real-time monitoring of athletes’ parameters.
To this purpose, SWeaT will develop a low-cost wearable device capable of sensing and recording a full set of relevant electrolytes concentration in sweat, sweat rate and temperature. The device will take advantage of: (i) a custom IC in low-cost CMOS technology to provide early readout and signal digitalization (ii) micro-fluidic paths to properly manage the sweat flow during real-time measurement. A Bluetooth Low Energy module will be embedded in a sport gear to enable lightweight, minimal invasiveness, 10-to-100-meter wireless range communication. SWeaT plans to reach TRL 5 and to develop a Minimum Valuable Product by the end of the action to fully exploit the developed technology.

SWeaT will be implemented at the University of Pisa with a secondment in Barcelona at the Microelectronic Institute. Through SWeaT and its tailored training plan, Dr. Dei will greatly enrich his scientific and soft skills towards his next career challenge.

 

Coordinator

Università di Pisa, Italy

 

Start date 15 July 2020

End date 14 July 2022
Project cost € 183 473,28
Project funding € 183 473,28
UNIPI quota € 183 473,28
Call title H2020-MSCA-IF-2019
Funding scheme MSCA-IF-EF-ST - Standard EF

Ultima modifica: Gio 04 Mag 2023 - 07:41

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