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How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving.

, , , , , , , and . IEEE Trans. Intell. Transp. Syst., 16 (3): 1505-1517 (2015)

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Characterizing Psychological Dimensions in Non-Pathological Subjects through Autonomic Nervous System Dynamics., , , , , , , and . Frontiers Comput. Neurosci., (2015)Clinical state assessment in bipolar patients by means of HRV features obtained with a sensorized T-shirt., , , , , , and . EMBC, page 2240-2243. IEEE, (2012)Human body odors of happiness and fear modulate the late positive potential component during neutral face processing: a preliminary ERP study on healthy subjects., , , , , , , and . EMBC, page 4093-4096. IEEE, (2022)Voice quality in patients suffering from bipolar disease., , , , , , and . EMBC, page 6106-6109. IEEE, (2015)Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives., , , and . Artif. Intell. Medicine, 57 (1): 49-58 (2013)Nonlinear analysis of heart rate variability for the assessment of Dysphoria., , , , , and . EMBC, page 3170-3173. IEEE, (2017)How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving., , , , , , , and . IEEE Trans. Intell. Transp. Syst., 16 (3): 1505-1517 (2015)Wearable Monitoring for Mood Recognition in Bipolar Disorder Based on History-Dependent Long-Term Heart Rate Variability Analysis., , , , , , and . IEEE J. Biomed. Health Informatics, 18 (5): 1625-1635 (2014)Characterization of Depressive States in Bipolar Patients Using Wearable Textile Technology and Instantaneous Heart Rate Variability Assessment., , , , , and . IEEE J. Biomed. Health Informatics, 19 (1): 263-274 (2015)Predicting Mood Changes in Bipolar Disorder Through Heartbeat Nonlinear Dynamics., , , , , , and . IEEE J. Biomed. Health Informatics, 20 (4): 1034-1043 (2016)