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Biometric Parameters Assessment for Foot Ulcers Prevention Through Wearable Devices

Capitolo di libro
Data di Pubblicazione:
2020
Abstract:
A fast and reliable identification of foot pressure loads and temperature distributions changes on the plantar surface allows to prevent and reduce the consequences of ulceration of the diabetic foot. This work presents a smart insole in which both temperature and pressure data in 8 reading points are monitored in remote way for the assessment of the health foot conditions by a caregiver. Minimally invasive and low power temperature and force sensors have been chosen and integrated into two antibacterial polyurethane-based layers architecture. In this work the attention was focused on the heat transfer between the insole and the foot. Finite element simulations were performed to evaluate the effectiveness of the sensor array to detect, from thermal gradients measured on the plantar surface, inflammatory events that can be attributed to early signs of foot ulceration.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Diabetes; Finite element analysis; Foot ulcer; Smart system
Elenco autori:
DE PASCALI, Chiara; Francioso, LUCA NUNZIO; Leone, Alessandro; Rescio, Gabriele; Siciliano, PIETRO ALEARDO
Autori di Ateneo:
DE PASCALI CHIARA
FRANCIOSO LUCA NUNZIO
LEONE ALESSANDRO
RESCIO GABRIELE
SICILIANO PIETRO ALEARDO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/383871
Titolo del libro:
20th AISEM National Conference on Sensors and Microsystems, 2019
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http://www.scopus.com/record/display.url?eid=2-s2.0-85081560475&origin=inward
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