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G. Valenza, Nardelli, M., Bertschy, G., Lanata, A., Barbieri, R., and Scilingo, E. P., Maximal-Radius Multiscale Entropy of Cardiovascular Variability: A Promising Biomarker of Pathological Mood States in Bipolar Disorders, in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014.
E. P. Scilingo, Sgambelluri, N., and Bicchi, A., Minimally Invasive Therapies & Novel Embedded Technology Systems, in ARISER 2006 Augmented Reality in Surgery, S. Casciaro and Distante, A. 2006, pp. 133-142. PDF icon [PDF] (405.52 KB)
D. De Rossi, Lorussi, F., Mazzoldi, A., Orsini, P., and Scilingo, E. P., Monitoring Body Kinematics and Gesture Through Sensing Fabrics, in 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine AND Biology, Lyon, France, 2000, pp. 587-592.
G. Valenza, Gentili, C., Lanata, A., and Scilingo, E. P., Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives, Artificial Intelligence In Medicine, vol. 57, no. 1, pp. 49–58, 2013.
U. Debarnot, Valenza, G., Champely, S., Scilingo, E. P., De Rossi, D., and Guillot, A., Motor imagery effectiveness for mirror reversed movements, Cognitive, Affective, & Behavioral Neuroscience, vol. 11, pp. 22–31, 2011.
N. Vanello, Hartwig, V., Tesconi, M., Ricciardi, E., Zupone, G., Tognetti, A., Bonino, D., Scilingo, E. P., Cutolo, F., Giovannetti, G., Pietrini, P., De Rossi, D., and Landini, L., A MR Compatible Sensing Glove for Brain Studies, in Proceedings of the 16th Annual Meeting of the Organization for Human Brain Mapping, 2010, p. 1262 MT–PM–.
N. Vanello, Hartwig, V., Tesconi, M., Zupone, G., Sgambelluri, N., Tognetti, A., Ricciardi, E., Scilingo, E. P., Bicchi, A., Pietrini, P., De Rossi, D., and Landini, L., An MRI Compatibility Study of a Fabric Sensing Glove for Sensory-Motor Brain Activity Exploration, in The 10th Annual International Workshop on Presence, 2007, pp. 79-83.
M. Nardelli, Scilingo, E. P., and Valenza, G., Multichannel Complexity Index (MCI) for a multi-organ physiological complexity assessment, Physica A: Statistical Mechanics and its Applications, vol. 530, 2019 [Online]. Available: https://doi.org/10.1016/j.physa.2019.121543PDF icon 1-s2.0-s0378437119309070-main.pdf (550.29 KB)
A. Greco, Guidi, A., Felici, F., Leo, A., Ricciardi, E., Bianchi, M., Bicchi, A., Citi, L., Valenza, G., and Scilingo, E. P., Muscle fatigue assessment through electrodermal activity analysis during isometric contraction, in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017. PDF icon greco_et_al.pdf (192.46 KB)
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N. Vanello, Bonino, D., Ricciardi, E., Tesconi, M., Scilingo, E. P., Hartwig, V., Tognetti, A., Zupone, G., Cutolo, F., Giovannetti, G., Pietrini, P., De Rossi, D., and Landini, L., Neural Correlates of Human-Robot Handshaking, in Proc. of the 19th IEEE International Symposium in Robot and Human Interactive Communication, NEW YORK – USA, 2010, pp. 555–561 [Online]. Available: http://dx.medra.org/10.1109/ROMAN.2010.5598624
G. Valenza, Pioggia, G., Armato, A., Ferro, M., Scilingo, E. P., and De Rossi, D., A neuron-astrocyte transistor-like model for neuromorphic dressed neurons, Neural Networks, 2011.
M. Bianchi, Serio, A., Scilingo, E. P., and Bicchi, A., A new fabric based softness display, in Symposium on Haptic Interfaces for Virtual Environments and Teleoperator Systems, Waltham,Massachusetts, USA, 2010, pp. 108 - 112. PDF icon [PDF] (3.48 MB)
M. Bianchi, Serio, A., Scilingo, E. P., and Bicchi, A., A new softness display based on bi-elastic fabric, in World Haptics, Salt Lake City, USA, 2009, pp. 382 - 383. PDF icon [PDF] (1.06 MB)
A. Lanata, Sebastiani, L., Gruttola, F. D., Di Modica, S., Scilingo, E. P., and Greco, A., Nonlinear analysis of eye-tracking information for motor imagery assessments, Frontiers in Neuroscience, vol. 13, 2019 [Online]. Available: https://www.frontiersin.org/articles/10.3389/fnins.2019.01431/fullPDF icon fnins-13-01431.pdf (903.8 KB)
G. Valenza, Garcia, R. G., Citi, L., Scilingo, E. P., Tomaz, C. A., and Barbieri, R., Nonlinear digital signal processing in mental health: characterization of major depression using instantaneous entropy measures of heartbeat dynamics, Frontiers in physiology, vol. 6, 2015.
G. Valenza, Citi, L., Lanata, A., Scilingo, E. P., and Barbieri, R., A nonlinear heartbeat dynamics model approach for personalized emotion recognition, in Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 2013, pp. 2579–2582.
A. Lanata, Guidi, A., Baragli, P., Valenza, G., and Scilingo, E. P., A novel algorithm for movement artifact removal in ECG signals acquired from wearable systems applied to horses, PloS one, vol. 10, p. e0140783, 2015.
A. Lanata, Valenza, G., and Scilingo, E. P., A novel EDA glove based on textile-integrated electrodes for affective computing, Medical and Biological Engineering and Computing, pp. 1–10, 2012.
G. Valenza, Tedesco, L., Lanata, A., De Rossi, D., and Scilingo, E. P., Novel Spiking Neuron-Astrocyte Networks based on NoNlinearTransistor-Like Models of Tripartite Synapses, in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), Osaka, Japan, 2013.
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E. P. Scilingo, Ricciardi, E., Pietrini, P., and Bicchi, A., Optic and tactile flow: does a supramodal response exist?, in International multisensory research forum, 6th Annual meeting, Rovereto, Italy, 2005.
G. Valenza, Lanata, A., and Scilingo, E. P., Oscillations of Heart Rate and Respiration Synchronize During Affective Visual Stimulation, Information Technology in Biomedicine, IEEE Transactions on, vol. 16, pp. 683–690, 2012.
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N. Vanello, Ricciardi, E., Dente, D., Sgambelluri, N., Scilingo, E. P., Gentili, C., Sani, L., Positano, V., Santarelli, M. F., Guazzelli, M., Haxby, J. V., Landini, L., Bicchi, A., and Pietrini, P., Perception of Optic and Tactile Flow Both Activate V5/MT cortical complex in the human brain, in 10th Annual Meeting of the Organization for Human Brain Mapping, 2004.
E. Ricciardi, Vanello, N., Dente, D., Sgambelluri, N., Scilingo, E. P., Gentili, C., Sani, L., Positano, V., Santarelli, M. F., Guazzelli, M., Haxby, J. V., Landini, L., Bicchi, A., and Pietrini, P., Perception of visual and tactile flow activates common cortical areas in the human brain., in Proceedings of the EuroHaptics 2004 (Technische Universitat Munchen, Germany June 5-7, 2004), 2004, pp. 290-292. PDF icon [PDF] (534.11 KB)
A. Bicchi, Dente, D., Scilingo, E. P., and Sgambelluri, N., Perceptual Bias in Tactile Flow, in Proc. First World Haptics Conference, 2005, pp. 17-20. PDF icon [PDF] (402.17 KB)
E. P. Scilingo, Gemignani, A., Paradiso, R., Taccini, N., Ghelarducci, B., and De Rossi, D., Performance evaluation of Sensing Fabrics for Monitoring Physiological and Biomechanical Variables, IEEE Transactions on Information Technology in BioMedicine, vol. 9, pp. 345-352, 2005. PDF icon [PDF] (1.54 MB)
R. Rizzo, Musolino, A., Scilingo, E. P., Bicchi, A., and Raugi, M., A Permanent Magnets Exciter for MRFs-based Haptic Interfaces, in IEEE Conference on Electromagnetic Field Computation, Atene, 2008.
A. Ahluwalia, De Rossi, D., Lorussi, F., Mazzoldi, A., Orsini, P., and Scilingo, E. P., Piezoresistive fabrics for monitoring body kinematics and gesture, in First International Symposium on Measurement, Analysis and Modeling of Human Functions, Sapporo, Japan, 2001, pp. 395-399.
M. Nardelli, Greco, A., Bianchi, M., Scilingo, E. P., and Valenza, G., On the Pleasantness of a Haptic Stimulation: How Different Textures can be Recognized through Heart Rate Variability Nonlinear Analysis, IEEE Engineering in Medicine and Biology Society (EMBC 2016). Orlando, USA, August 16-20, 2016, 2016.
G. Valenza, Citi, L., Gentili, C., Lanata, A., Scilingo, E. P., and Barbieri, R., Point-Process Nonlinear Autonomic Assessment of Depressive States in Bipolar Patients, Methods of Information in Medicine, vol. 53, no. 4, pp. 296–302, 2014.
G. Valenza, Citi, L., Scilingo, E. P., and Barbieri, R., Point-Process Nonlinear Models with Laguerre and Volterra Expansions: Instantaneous Assessment of Heartbeat Dynamics, IEEE Transactions on Signal Processing, vol. 61, no. 11, pp. 2914–2926, 2013.

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