Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Lucia Arcarisi"'
Autor:
Marco Laurino, Lucia Arcarisi, Nicola Carbonaro, Angelo Gemignani, Danilo Menicucci, Alessandro Tognetti
Publikováno v:
IEEE Access, Vol 8, Pp 45664-45673 (2020)
Sleep disorders are common health problems in industrialized societies and may be caused by underlying health issues. Current methods to assess the quality of sleep are invasive and not suitable for continuous monitoring in real world contexts. We ha
Externí odkaz:
https://doaj.org/article/7cffebb8ebf94a579e921db07325f72f
Autor:
Nicola Carbonaro, Lucia Arcarisi, Carlotta Marinai, Marco Laurino, Francesco Di Rienzo, Carlo Vallati, Alessandro Tognetti
Publikováno v:
Sensors, Vol 22, Iss 5, p 1761 (2022)
We describe the development and preliminary evaluation of an innovative low-cost wearable device for gait analysis. We have developed a sensorized sock equipped with 32 piezoresistive textile-based sensors integrated in the heel and metatarsal areas
Externí odkaz:
https://doaj.org/article/1e5d2173704547f08cd12e010b8aa6c2
Autor:
Nicola Carbonaro, Marco Laurino, Lucia Arcarisi, Danilo Menicucci, Angelo Gemignani, Alessandro Tognetti
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2552 (2021)
According to current trends in healthcare sensing technologies, we describe a textile-based pressure sensing matrix that can be integrated in the mattress of a smart bed to characterize sleeping posture/movement of a subject and to extract breathing
Externí odkaz:
https://doaj.org/article/7b48496a2694437d97f0e087449f75c9
Autor:
Lucia Arcarisi, Licia Di Pietro, Nicola Carbonaro, Alessandro Tognetti, Arti Ahluwalia, Carmelo De Maria
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 381 (2019)
Breast cancer is the most commonly diagnosed cancer in women worldwide. Although targeted screening programs using mammography have facilitated earlier detection and improved treatment has resulted in a significant reduction in mortality, some negati
Externí odkaz:
https://doaj.org/article/56141cb73eb64915bd0dcea365969d1d
Autor:
Francesca Giannetti, Lucia Arcarisi, Carlotta Marinai, Francesco Di Rienzo, Carlo Vallati, Nicola Carbonaro, Alessandro Tognetti
Publikováno v:
2022 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d6da22e2646f44d5df8664a6e34c903
https://doi.org/10.1109/sensors52175.2022.9967086
https://doi.org/10.1109/sensors52175.2022.9967086
Autor:
Marco Laurino, Lucia Arcarisi, Francesca Brutti, Francesca Giannetti, Carlotta Marinai, Pasquale Bufano, Nicola Carbonaro, Danilo Menicucci, Chiara Benvenuti, Alessandro Tognetti
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
A sensorized face mask could be a useful tool in the case of a viral pandemic event, as well as the Covid-19 emergency. In the context of the proposed project "RESPIRE", we have developed a "Smart-Mask" able to collect the signal patterns of body tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0cf40fc4e54da31f0a1678fa8837dd4
https://pubmed.ncbi.nlm.nih.gov/36086043
https://pubmed.ncbi.nlm.nih.gov/36086043
Autor:
Lucia Arcarisi, Danilo Menicucci, Marco Laurino, Nicola Carbonaro, Angelo Gemignani, Alessandro Tognetti
Publikováno v:
IEEE Access, Vol 8, Pp 45664-45673 (2020)
Sleep disorders are common health problems in industrialized societies and may be caused by underlying health issues. Current methods to assess the quality of sleep are invasive and not suitable for continuous monitoring in real world contexts. We ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1551476371526bd37560249f2f08233f
https://doi.org/10.1109/access.2020.2976194
https://doi.org/10.1109/access.2020.2976194
Publikováno v:
2020 IEEE SENSORS.
This work reports an innovative approach toward the development of tactile sensors based on electrical impedance tomography. Our approach couples the implementation of the forward model through a physics-based general purpose FEM software and an ANN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37ac208a37dc32c0505a94095cdddc9f
https://doi.org/10.1109/sensors47125.2020.9278823
https://doi.org/10.1109/sensors47125.2020.9278823
Autor:
Antonio Virdis, Lucia Arcarisi, Carlo Vallati, Alessandro Tognetti, Nicola Carbonaro, Francesco Di Rienzo
Publikováno v:
2020 IEEE SENSORS.
Early diagnosis and the possibility of effective monitoring during therapy are the keys to better treat patients and reduce healthcare costs in many pathologies such as neurodegen-erative or musculoskeletal disorders. Gait analysis represents a usefu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6839dde7be957a9968a184fbf3a2e186
https://doi.org/10.1109/sensors47125.2020.9278682
https://doi.org/10.1109/sensors47125.2020.9278682