Luca Citi
Luca Citi
Professor, CSEE, University of Essex, UK
Verified email at - Homepage
Cited by
Cited by
Restoring natural sensory feedback in real-time bidirectional hand prostheses
S Raspopovic, M Capogrosso, FM Petrini, M Bonizzato, J Rigosa, ...
Science translational medicine 6 (222), 222ra19-222ra19, 2014
cvxEDA: A convex optimization approach to electrodermal activity processing
A Greco, G Valenza, A Lanata, EP Scilingo, L Citi
IEEE transactions on biomedical engineering 63 (4), 797-804, 2015
Double nerve intraneural interface implant on a human amputee for robotic hand control
PM Rossini, S Micera, A Benvenuto, J Carpaneto, G Cavallo, L Citi, ...
Clinical neurophysiology 121 (5), 777-783, 2010
Revealing real-time emotional responses: a personalized assessment based on heartbeat dynamics
G Valenza, L Citi, A Lanatį, EP Scilingo, R Barbieri
Scientific reports 4 (1), 4998, 2014
P300-based BCI mouse with genetically-optimized analogue control
L Citi, R Poli, C Cinel, F Sepulveda
IEEE transactions on neural systems and rehabilitation engineering 16 (1), 51-61, 2008
On the use of longitudinal intrafascicular peripheral interfaces for the control of cybernetic hand prostheses in amputees
S Micera, X Navarro, J Carpaneto, L Citi, O Tonet, PM Rossini, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (5 …, 2008
A real-time automated point-process method for the detection and correction of erroneous and ectopic heartbeats
L Citi, EN Brown, R Barbieri
IEEE transactions on biomedical engineering 59 (10), 2828-2837, 2012
Decoding information from neural signals recorded using intraneural electrodes: toward the development of a neurocontrolled hand prosthesis
S Micera, L Citi, J Rigosa, J Carpaneto, S Raspopovic, G Di Pino, ...
Proceedings of the IEEE 98 (3), 407-417, 2010
On the use of wavelet denoising and spike sorting techniques to process electroneurographic signals recorded using intraneural electrodes
L Citi, J Carpaneto, K Yoshida, KP Hoffmann, KP Koch, P Dario, S Micera
Journal of neuroscience methods 172 (2), 294-302, 2008
Arousal and valence recognition of affective sounds based on electrodermal activity
A Greco, G Valenza, L Citi, EP Scilingo
IEEE Sensors Journal 17 (3), 716-725, 2016
Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
S Micera, PM Rossini, J Rigosa, L Citi, J Carpaneto, S Raspopovic, ...
Journal of neuroengineering and rehabilitation 8, 1-10, 2011
Defining brain–machine interface applications by matching interface performance with device requirements
O Tonet, M Marinelli, L Citi, PM Rossini, L Rossini, G Megali, P Dario
Journal of neuroscience methods 167 (1), 91-104, 2008
Point-process nonlinear models with laguerre and volterra expansions: Instantaneous assessment of heartbeat dynamics
G Valenza, L Citi, EP Scilingo, R Barbieri
IEEE Transactions on Signal Processing 61 (11), 2914-2926, 2013
Measures of sympathetic and parasympathetic autonomic outflow from heartbeat dynamics
G Valenza, L Citi, JP Saul, R Barbieri
Journal of applied physiology 125 (1), 19-39, 2018
Characterization of depressive states in bipolar patients using wearable textile technology and instantaneous heart rate variability assessment
G Valenza, L Citi, C Gentili, A Lanata, EP Scilingo, R Barbieri
IEEE journal of biomedical and health informatics 19 (1), 263-274, 2014
Documenting, modelling and exploiting P300 amplitude changes due to variable target delays in Donchin's speller
L Citi, R Poli, C Cinel
Journal of Neural Engineering 7 (5), 056006, 2010
Effect of data leakage in brain MRI classification using 2D convolutional neural networks
E Yagis, SW Atnafu, A Garcķa Seco de Herrera, C Marzi, R Scheda, ...
Scientific reports 11 (1), 22544, 2021
Estimation of instantaneous complex dynamics through lyapunov exponents: a study on heartbeat dynamics
G Valenza, L Citi, R Barbieri
PloS one 9 (8), e105622, 2014
Inhomogeneous point-process entropy: An instantaneous measure of complexity in discrete systems
G Valenza, L Citi, EP Scilingo, R Barbieri
Physical Review E 89 (5), 052803, 2014
3d Convolutional neural networks for diagnosis of alzheimer's disease via structural mri
E Yagis, L Citi, S Diciotti, C Marzi, SW Atnafu, AGS De Herrera
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020
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