Assessing real-time rr-qt frequency-domain measures of coupling and causality through inhomogeneous point-process bivariate models

You are here

  • Home → Assessing real-time rr-qt frequency-domain measures of coupling and causality through inhomogeneous point-process bivariate models
TitleAssessing real-time rr-qt frequency-domain measures of coupling and causality through inhomogeneous point-process bivariate models
Publication TypeConference Paper
AuthorsValenza, G, Orini, M, Citi, L, Minchole, A, Pueyo, E, Laguna, P, Barbieri, R

Filter by Type

Filter by Year

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

SPIN-OFF

Feel-ING is a new start-up specialized in developing and implementing innovative Information and Communication Technology solutions for the optimization of the psychophysical performance and the promotion of wellbeing and mental health