Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nicoletta Caramia"'
Autor:
Giulia Zelda De Vidovich, Riccardo Muffatti, Jessica Monaco, Nicoletta Caramia, Davide Broglia, Edgardo Caverzasi, Francesco Barale, Egidio D‘Angelo
Publikováno v:
Frontiers in Human Neuroscience, Vol 10 (2016)
The borderline personality disorder (BPD) is characterized by a severe pattern of instability in emotional regulation, interpersonal relationships, identity, and impulse control. These functions are related to the prefrontal cortex (PFC), and since P
Externí odkaz:
https://doaj.org/article/e67218d7b2b0480da2ef803823778489
Autor:
Paolo Colagiorgio, Nicoletta Caramia, Stefano Ramat, Fausto Romano, Elena Bassani, Andrea Cristiani, Gian Mario Bertolotti
Publikováno v:
IEEE Sensors Journal. 16:790-797
Measuring human movement has many useful applications ranging from fall risk assessment, quantifying sports exercise, studying people habits, and monitoring the elderly. Here, we present a versatile, wearable device based on a 9-degrees-of-freedom in
Autor:
Giovanni Bertolini, Christopher J. Bockisch, Alexander A. Tarnutzer, Bryan K. Ward, Nicoletta Caramia
Accurate and precise estimates of direction of gravity are essential for spatial orientation. According to Bayesian theory, multisensory vestibular, visual, and proprioceptive input is centrally integrated in a weighted fashion based on the reliabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18a9b5edffbbf8e23625b9a8a0b5b965
https://europepmc.org/articles/PMC5411466/
https://europepmc.org/articles/PMC5411466/
Publikováno v:
Journal of neurology. 264(Suppl 1)
Motion sickness is associated with a variety of autonomic symptoms, presumably due to proximity or functional interconnectivity between the autonomic centers in the brainstem and the vestibular system. A direct influence of the vestibular system on c
Publikováno v:
ICASSP
Brain-Computer Interfaces (BCI) aim at translating brain signals, typically ElectroEncephaloGraphy (EEG), into commands for external devices. Spatial filters are powerful tools for EEG classification, able to reduce spatial blurring effects. In parti