Research

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Cardio-Respiratory Interaction

This research activity is focused on

1) The study of cardio-respiratory interaction during affective elicitation

2) Development of new metrics for cardio-respiratory interaction

 

The study of cardio-respiratory interaction during affective elicitation

1) The study of cardio-respiratory interaction during affective elicitation

2) Development of new metrics for cardio-respiratory interaction

EEG Processing

EEG Processing

This research activity focuses on brain dynamics investigation during affective elicitation involving different sensory elicitation.

Electrodermal Activity Processing

Electrodermal Activity

Affective Computing

Affective Computing is a field of research that "relates to, arises from, or deliberately influences emotion or other affective phenomena" (Picard, MIT Press 1997).

Speech Processing

Speech signal is a nonstationary signal that is generated by a complex phenomenon that is influenced by the autonomic and somatic nervous systems, through the modulation of breathing activity, vocal muscles tension, salivation and mucus secretion. Generally, phonatory system can be modelled according to the so-called source-filter theory of speech production. In this model the source is represented by pulsatile airflow or turbulent airflow generated by the modulating action of the vocal folds.

Pages

Recent Publications

Instantaneous Transfer Entropy for the Study of Cardiovascular and Cardio-Respiratory Nonstationary Dynamics.
Complexity and Nonlinearity in Cardiovascular Signals
Assessment of Instantaneous Heartbeat Dynamics in amnestic Mild Cognitive Impairment
Multiscale properties of instantaneous parasympathetic activity in severe congestive heart failure: A survivor vs non-survivor study
Exploiting Physiological Sensors and Biosignal Processing to Enhance Monitoring Care in Mental Health
Time-Varying Cardiovascular Complexity with Focus on Entropy and Lyapunov Exponents
Introduction to Complex Cardiovascular Physiology
Applications of Heartbeat Complexity Analysis to Depression and Bipolar Disorder
Assessing mood symptoms through heartbeat dynamics: An HRV study on cardiosurgical patients
Nonlinear analysis of heart rate variability for the assessment of Dysphoria

Info

Computational Physiology & Biomedical Instruments Group, University of Pisa

Enzo Pasquale Scilingo: e.scilingo@ing.unipi.it

Gaetano Valenza: g.valenza@ing.unipi.it

Dipartimento di Ingegneria dell'Informazione, Via Caruso, 16, 56122, Pisa, Italy

Centro di Ricerca "E. Piaggio", Largo Lucio Lazzarino 1, 56122 Pisa, Italy

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