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2015
A. Lanata, Greco, A., Valenza, G., and Scilingo, E. Pasquale, Robust Head Mounted Wearable Eye Tracking System for Dynamical Calibration, Journal of Eye Movement Research, vol. 8, pp. 1–15, 2015.
A. Lanata, Greco, A., Valenza, G., and Scilingo, E. Pasquale, On the tridimensional estimation of the gaze point by a stereoscopic wearable eye tracker, in Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 2015.
2014
G. Valenza and Scilingo, E. Pasquale, Advanced Signal Processing and Modeling for ANS Data, in Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition, Springer International Publishing, 2014, pp. 45–82.
G. Valenza, Lanata, A., Paradiso, R., and Scilingo, E. Pasquale, Advanced Technology Meets Mental Health: How smartphones, textile electronics, and signal processing can serve mental health monitoring, diagnosis, and treatment., IEEE pulse, vol. 5, pp. 56–59, 2014.
G. Valenza, Citi, L., Scilingo, E. Pasquale, and Barbieri, R., Assessment of Dynamic Autonomic Changes with Posture using Instantaneous Entropy Measures, in Computing in Cardiology, 2014.
I. A. Cristea, Valenza, G., Scilingo, E. Pasquale, Tătar, A. Szentágot, Gentili, C., and David, D., Autonomic effects of cognitive reappraisal and acceptance in social anxiety: evidence for common and distinct pathways for parasympathetic reactivity, Journal of anxiety disorders, vol. 28, pp. 795–803, 2014.
G. Valenza and Scilingo, E. Pasquale, Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition. 2014.
G. Valenza, Nardelli, M., Bertschy, G., Lanata, A., and Scilingo, E. Pasquale, Complexity modulation in heart rate variability during pathological mental states of bipolar disorders, in Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on, 2014.
G. Valenza and Scilingo, E. Pasquale, Data Acquisition: Experimental Procedures and Wearable Monitoring Systems, in Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition, Springer International Publishing, 2014, pp. 25–43.
G. Valenza, Vanello, N., Milanesi, M., Scilingo, E. Pasquale, and Landini, L., Decoding underlying brain activities in time and frequency domains through complex independent component analysis of EEG signals, in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014.
G. Valenza, Citi, L., Scilingo, E. Pasquale, and Barbieri, R., Defining an instantaneous complexity measure for heartbeat dynamics: The inhomogeneous point-process entropy, in Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on, 2014.
M. Bianchi, Valenza, G., Serio, A., Lanata, A., Greco, A., Nardelli, M., Scilingo, E. Pasquale, and Bicchi, A., Design and preliminary affective characterization of a novel fabric-based tactile display, in Haptics Symposium (HAPTICS), 2014 IEEE, 2014.
A. Greco, Valenza, G., Lanata, A., Rota, G., and Scilingo, E. Pasquale, Electrodermal Activity in Bipolar Patients during Affective Elicitation, IEEE Journal of Biomedical and Health Informatics, vol. 18, pp. 1865–1873, 2014.
A. Greco, Lanata, A., Valenza, G., Scilingo, E. Pasquale, and Citi, L., Electrodermal activity processing: A convex optimization approach, in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014.
G. Valenza and Scilingo, E. Pasquale, Emotions and mood states: modeling, elicitation, and classification, in Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition, Springer International Publishing, 2014, pp. 9–21.
G. Valenza and Scilingo, E. Pasquale, Experimental Evidences on Healthy Subjects and Bipolar Patients, in Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition, Springer International Publishing, 2014, pp. 85–123.
G. Valenza, Citi, L., Scilingo, E. Pasquale, and Barbieri, R., Inhomogeneous point-process entropy: An instantaneous measure of complexity in discrete systems, Physical Review E, vol. 89, p. 052803, 2014.
G. Valenza, Nardelli, M., Bertschy, G., Lanata, A., Barbieri, R., and Scilingo, E. Pasquale, Maximal-radius multiscale entropy of cardiovascular variability: A promising biomarker of pathological mood states in bipolar disorders, in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014.
A. Lanata, Greco, A., Valenza, G., and Scilingo, E. Pasquale, A pattern recognition approach based on electrodermal response for pathological mood identification in bipolar disorders, in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014.
G. Valenza, Citi, L., Lanata, A., Scilingo, E. Pasquale, and Barbieri, R., Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics, Scientific Reports, vol. 4, pp. 1–13, 2014.
M. Nardelli, Valenza, G., Gentili, C., Lanata, A., and Scilingo, E. Pasquale, Temporal trends of neuro-autonomic complexity during severe episodes of bipolar disorders, in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014.
G. Valenza, Citi, L., Scilingo, E. Pasquale, and Barbieri, R., Tracking instantaneous entropy in heartbeat dynamics through inhomogeneous point-process nonlinear models, in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2014.
G. Valenza, Nardelli, M., Lanata, A., Gentili, C., Bertschy, G., Paradiso, R., and Scilingo, E. Pasquale, 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, vol. 18, pp. 1625–1635, 2014.
2013
A. Lanata, Valenza, G., and Scilingo, E. Pasquale, Eye gaze patterns in emotional pictures, Journal of Ambient Intelligence and Humanized Computing, vol. 4, pp. 705–715, 2013.
G. Valenza, Lanata, A., and Scilingo, E. Pasquale, Improving emotion recognition systems by embedding cardiorespiratory coupling, Physiological Measurement, vol. 34, p. 449, 2013.

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Computational Physiology & Biomedical Instruments Group, University of Pisa

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