Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Roberta Carabalona"'
Autor:
Roberta Carabalona
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Visual P300-based Brain-Computer Interface (BCI) spellers enable communication or interaction with the environment by flashing elements in a matrix and exploiting consequent changes in end-user's brain activity. Despite research efforts, performance
Externí odkaz:
https://doaj.org/article/4adc311b766244279a55cfd372621df0
Autor:
Maddalena Modica, Roberta Carabalona, Rosa Spezzaferri, Monica Tavanelli, A. Torri, Vittorino Ripamonti, Paolo Castiglioni, Renata De Maria, Maurizio Ferratini
Publikováno v:
Monaldi Archives for Chest Disease, Vol 78, Iss 1 (2015)
Background: To evaluate the psychological characteristics of coronary heart disease (CHD) patients after coronary artery bypass grafting (CABG) by cluster analysis of Minnesota Multiphasic Personality Inventory (MMPI-2) questionnaires and to assess t
Externí odkaz:
https://doaj.org/article/dda58b4657c24b09b04ef259549251be
Autor:
Roberta Carabalona
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 11 (2017)
Frontiers in Neuroscience, Vol 11 (2017)
Visual P300-based Brain-Computer Interface (BCI) spellers enable communication or interaction with the environment by flashing elements in a matrix and exploiting consequent changes in end-user's brain activity. Despite research efforts, performance
Autor:
Marco Di Rienzo, Paolo Castiglioni, Andrei Cividjian, Luc Quintin, Roberta Carabalona, Gianfranco Parati
Publikováno v:
The Journal of Physiology. 589:355-369
How the autonomic nervous system influences the fractal dynamics of heart rate (HR) and blood pressure (BP) remains unclear. The purpose of our study was to separately assess cardiac vagal and sympathetic (cardiac vs. vascular) influences on fractal
Autor:
E. Snidero, Luca Gavioli, Roberta Carabalona, Marco Matteucci, Massimo Sancrotti, Furio Gramatica, M. Di Rienzo, M. Casella, E. Di Fabrizio
Publikováno v:
Microelectronic engineering 84 (2007): 1737–1740.
info:cnr-pdr/source/autori:Matteucci, M; Carabalona, R; Casella, M; Di Fabrizio, E; Gramatica, F; Di Rienzo, M; Snidero, E; Gavioli, L; Sancrotti, M/titolo:Micropatterned dry electrodes for brain-computer interface/doi:/rivista:Microelectronic engineering/anno:2007/pagina_da:1737/pagina_a:1740/intervallo_pagine:1737–1740/volume:84
info:cnr-pdr/source/autori:Matteucci, M; Carabalona, R; Casella, M; Di Fabrizio, E; Gramatica, F; Di Rienzo, M; Snidero, E; Gavioli, L; Sancrotti, M/titolo:Micropatterned dry electrodes for brain-computer interface/doi:/rivista:Microelectronic engineering/anno:2007/pagina_da:1737/pagina_a:1740/intervallo_pagine:1737–1740/volume:84
Electroencephalography (EEG) recordings can be used to help paralyzed patients by replacing functionality of damaged neural connections through the aid of a brain-computer interface. Conventional electrodes used for EEG require long skin preparation
Publikováno v:
Pediatric Rehabilitation. 6:227-235
Our purpose was, through an extensive and systematic review of the literature, to verify the effectiveness of physical exercises in the treatment of adolescent idiopathic scoliosis. We performed a search of different databases (Medline, Cochrane Libr
Publikováno v:
Journal of NeuroEngineering and Rehabilitation
Background Balance control relies on accurate perception of visual, somatosensory and vestibular cues. Sensory flow is impaired in Multiple Sclerosis (MS) and little is known about the ability of the sensory systems to adapt after neurological lesion
Autor:
Antonio Caracciolo, Adam Tessadri, Ilaria De Munari, Paolo Castiglioni, Roberta Carabalona, Ferdinando Grossi
Publikováno v:
Ergonomics. 55(5)
Brain-computer interface (BCI) systems aim to enable interaction with other people and the environment without muscular activation by the exploitation of changes in brain signals due to the execution of cognitive tasks. In this context, the visual P3
Autor:
Furio Gramatica, Monica Soncini, Marzia Bedoni, Conor O'Mahony, Elena Forvi, P. Mazzoleni, Francesco Rizzo, Carlo Morasso, Domenico Giorgio Cassara, Roberta Carabalona
Monitoring biosignals, such as in electrocardiography (ECG), electromiography (EMG) and electroencephalography (EEG), is important for a better understanding of the pathological and physiological conditions of human subjects. In clinical practice the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30e54e2ca8382a01eab45604a9a4b50c
http://hdl.handle.net/11311/684632
http://hdl.handle.net/11311/684632
Autor:
Roberta Carabalona
Publikováno v:
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).
Brain-Computer Interface (BCI) systems allow user to operate devices without muscular activation and experimental results indicate that they can induce activity-dependent plasticity. A BCI system has two key features: exploitation of brain signal cha