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V. Carli, Wasserman, D., Hadlaczky, G., P. Gebrewold, N., Carletto, S., Citi, L., Dinis, S., Gentili, C., Gonzalez-Martinez, S., De Leonibus, A., Meyer, B., Ostacoli, L., Ottaviano, M., Oukanin, S., Paradiso, R., Poli, R., Rocha, I., Settanta, C., Waldmeyer, M. T., Valenza, G., and Scilingo, E. P., A protocol for a multicentre, parallel-group, pragmatic randomised controlled trial to evaluate the NEVERMIND system in preventing and treating depression in patients with severe somatic conditions, BMC psychiatry, vol. 20, pp. 1–10, 2020 [Online]. Available: https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-020-02494-3
V. Catrambone, Greco, A., Averta, G., Bianchi, M., Valenza, G., and Scilingo, E. P., Predicting object-mediated gestures from brain activity: an EEG study on gender differences, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, pp. 411–418, 2019 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8638847
G. Valenza, Nardelli, M., Gentili, C., Bertschy, G., Kosel, M., and Scilingo, E. P., Predicting Mood Changes in Bipolar Disorder through Heartbeat Nonlinear Dynamics, IEEE Journal of Biomedical and Health Informatics, 2016.
G. Valenza, Nardelli, M., Lanatà, A., Gentili, C., Bertschy, G., and Scilingo, E. P., Predicting mood changes in bipolar disorder through heartbeat nonlinear dynamics: A preliminary study, in Computing in Cardiology Conference (CinC), 2015, 2015, pp. 801–804.
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.
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.
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. Pioggia, Tartarisco, G., Valenza, G., Ricci, G., Volpi, L., Siciliano, G., and Bonfiglio, S., A pervasive activity management and rehabilitation support system for the elderly, in Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on, 2010, pp. 813–816.
A. Duggento, Valenza, G., Passamonti, L., Nigro, S., Bianco, M. G., Guerrisi, M., Barbieri, R., and Toschi, N., A parsimonious Granger causality formulation for capturing arbitrarily long multivariate associations, Entropy, vol. 21, p. 629, 2019 [Online]. Available: https://www.mdpi.com/1099-4300/21/7/629
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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.
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.
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.
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.
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.
S. Ghiasi, Greco, A., Nardelli, M., Catrambone, V., Barbieri, R., Scilingo, E. P., and Valenza, G., A New Sympathovagal Balance Index from Electrodermal Activity and Instantaneous Vagal Dynamics: A Preliminary Cold Pressor Study, in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 2018, pp. 3068–3071.
V. Catrambone, Greco, A., Nardelli, M., Ghiasi, S., Vanello, N., Scilingo, E. P., and Valenza, G., A new modelling framework to study time-varying directional brain-heart interactions: Preliminary evaluations and perspectives, in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 2018, pp. 4611–4614 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8513113
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.
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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)
A. Duggento, Passamonti, L., Valenza, G., Barbieri, R., Guerrisi, M., and Toschi, N., Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI, Scientific reports, vol. 8, pp. 1–11, 2018 [Online]. Available: https://www.nature.com/articles/s41598-018-23996-x
M. Nardelli, Greco, A., Valenza, G., Lanatà, A., Bailon, R., and Scilingo, E. P., A multiclass arousal recognition using HRV nonlinear analysis and affective images, in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 2018, pp. 392–395 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8512426
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)
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.
G. Valenza, Wendt, H., Kiyono, K., Hayano, J., Watanabe, E., Yamamoto, Y., Abry, P., and Barbieri, R., Mortality prediction in severe congestive heart failure patients with multifractal point-process modeling of heartbeat dynamics, IEEE Transactions on Biomedical Engineering, vol. 65, pp. 2345–2354, 2018 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8267243
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.

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