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G. Valenza, Greco, A., Nardelli, M., Bianchi, M., Lanata, A., Rossi, S., and Scilingo, E. P., “Electroencephalographic spectral correlates of caress-like affective haptic stimuli”, in Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, Milano, ITA, 2015, pp. 4733–4736.
G. Valenza, Citi, L., Scilingo, E. P., and Barbieri, R., “Using Laguerre expansion within point-process models of heartbeat dynamics: A comparative study”, in Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 2012, pp. 29–32.
G. Valenza, Greco, A., Gentili, C., Lanatà, A., Sebastiani, L., Menicucci, D., Gemignani, A., and Scilingo, E. P., “Combining electroencephalographic activity and instantaneous heart rate for assessing brain–heart dynamics during visual emotional elicitation in healthy subjects”, Phil. Trans. R. Soc. A, vol. 374, p. 20150176, 2016.
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, Greco, A., Lanatà, A., Gentili, C., Menicucci, D., Sebastiani, L., Gemignani, A., and Scilingo, E. P., “Brain dynamics during emotion elicitation in healthy subjects: An EEG study”, in AEIT International Annual Conference (AEIT), 2015, 2015, pp. 1–3.
G. Valenza, Faes, L., Citi, L., Orini, M., and Barbieri, R., “Instantaneous transfer entropy for the study of cardio-respiratory dynamics”, in Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 2015, pp. 7885–7888.
G. Valenza and Scilingo, E. P., Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition [electronic resource]: Significant Advances in Data Acquisition, Signal Processing and Classification. Springer, 2015.
G. Valenza, Lanata, A., and Scilingo, E. P., “Improving emotion recognition systems by embedding cardiorespiratory coupling”, Physiological Measurement, vol. 34, no. 4, 2013.
G. Valenza, Lanata, A., Ferro, M., and Scilingo, E. P., “Real-time discrimination of multiple cardiac arrhythmias for wearable systems based on neural networks”, in Computers in Cardiology, 2008, 2008, pp. 1053–1056.
G. Valenza, Orsolini, S., Diciotti, S., Citi, L., Scilingo, E. P., Guerrisi, M., Danti, S., Lucetti, C., Tessa, C., and Barbieri, R., “Assessment of spontaneous cardiovascular oscillations in Parkinson's disease”, Biomedical Signal Processing and Control, vol. 26, pp. 80–89, 2016.
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, 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.
G. Valenza, Citi, L., Scilingo, E. P., and Barbieri, R., “Tracking Instantaneous Entropy in Heartbeat Dynamics through Inhomogeneous Point-Process Nonlinear Models”, in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014.
G. Valenza, Citi, L., Scilingo, E. P., and Barbieri, R., “Assessment of Dynamic Autonomic Changes with Posture using Instantaneous Entropy Measures”, in Computers in Cardiology, Cambridge (MA, USA), 2014, vol. 41, pp. 489-492.
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., Gentili, C., Lanata, A., Scilingo, E. P., and Barbieri, R., “Characterization of Depressive States in Bipolar Patients using Wearable Textile Technology and Instantaneous Heart Rate Variability Assessment”, IEEE Journal of Biomedical and Health Informatics, vol. 19, pp. 263–274, 2015.
G. Valenza, Akeju, O., Pavone, K. J., Citi, L., Hartnack, K. E., Sampson, A., Purdon, P. L., Brown, E. N., and Barbieri, R., “Instantaneous monitoring of heart beat dynamics during anesthesia and sedation”, Journal of Computational Surgery, vol. 3, no. 13, 2014. PDF icon 2014_valenza_et_al_jcompsur_anesthesia.pdf (2.51 MB)
G. Valenza, Citi, L., Lanata, A., Scilingo, E. P., and Barbieri, R., “Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics”, Nature Scientific Reports, vol. 4, no. 4998, pp. 1–13, 2014.
G. Valenza, Lanata, A., Paradiso, R., and Scilingo, E. P., “Advanced Technology Meets Mental Health: How smartphones, textile electronics, and signal processing can serve mental health monitoring, diagnosis, and treatment.”, IEEE pulse, vol. 5, no. 3, pp. 56–59, 2013.
G. Valenza, Citi, L., and Barbieri, R., “Estimation of Instantaneous Complex Dynamics through Lyapunov Exponents: A Study on Heartbeat Dynamics”, PLoS One, vol. 9, no. 8, p. e105622, 2014.
G. Valenza, Citi, L., Gentili, C., Lanata, A., Scilingo, E. P., and Barbieri, R., “Characterization of Depressive States in Bipolar Patients using Wearable Textile Technology and Instantaneous Heart Rate Variability Assessment”, IEEE Journal of Biomedical and Health Informatics, 2014.
G. Valenza, Nardelli, M., Lanata, A., Gentili, C., Bertschy, G., Paradiso, R., and Scilingo, E. P., “Wearable Monitoring for Mood Recognition in Bipolar Disorder based on History-Dependent Long-Term Heart Rate Variability Analysis”, IEEE Journal of Biomedical and Health Informatics, 2014.
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.
G. Valenza, Citi, L., Scilingo, E. P., and Barbieri, R., “Inhomogeneous point-process entropy: An instantaneous measure of complexity in discrete systems”, Physical Review E, vol. 89, 2014. PDF icon 2014_valenza_et_al_pre_ipapen2.pdf (1.21 MB)
G. Valenza, Citi, L., and Barbieri, R., “Instantaneous nonlinear assessment of complex cardiovascular dynamics by laguerre-volterra point process models”, in Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 2013, pp. 6131–6134.
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, Faita, F., Pratali, L., Vanello, N., Lanata, A., Barbieri, R., and Scilingo, E. P., “Changes in instantaneous complex dynamics during exercise in Chronic Mountain Sickness”, in Computing in Cardiology Conference (CinC), 2015, 2015, pp. 997–1000.
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.
G. Valenza, Citi, L., Scilingo, E. P., and Barbieri, R., “Instantaneous bispectral characterization of the autonomic nervous system through a point-process nonlinear model”, in World Congress on Medical Physics and Biomedical Engineering, May 26-31, 2012, Beijing, China, 2013, pp. 530–533.
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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