Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entropy-Based Measures. - Gabriele Volpes; Chiara Barà; Alessandro Busacca; Salvatore Stivala; Michal Javorka; Luca Faes; Riccardo Pernice (Sensors, 2022)

A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. - Luca Faes; Gorana Mijatovic; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Laura Sparacino; Marco Sammartino; Alberto Porta; Daniele Marinazzo; Sebastiano Stramaglia (IEEE Trans. Signal Process., 2022)

Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures. - Gorana Mijatovic; Chiara Barà; Riccardo Pernice; Tatjana Loncar-Turukalo; Giandomenico Nollo; Luca Faes (EMBC, 2023)

Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions. - Hélder Pinto; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Michal Javorka; Luca Faes; Ana Paula Rocha 002 (EMBC, 2023)

Information-Theoretic Analysis of Cardio-Respiratory Interactions in Heart Failure Patients: Effects of Arrhythmias and Cardiac Resynchronization Therapy. - Mirjana M. Platisa; Nikola N. Radovanovic; Riccardo Pernice; Chiara Barà; Sinisa U. Pavlovic; Luca Faes (Entropy, 2023)

Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses. - Chiara Barà; Andrea Zaccaro; Yuri Antonacci; Matteo Dalla Riva; Alessandro Busacca; Francesca Ferri; Luca Faes; Riccardo Pernice (Biomed. Signal Process. Control., 2023)

A Method to Assess Granger Causality, Isolation and Autonomy in the Time and Frequency Domains: Theory and Application to Cerebrovascular Variability. - Laura Sparacino; Yuri Antonacci; Chiara Barà; Angela Valenti; Alberto Porta; Luca Faes (IEEE Trans. Biomed. Eng., 2024)

Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. - Marta Iovino; Marlis Ontivero-Ortega; Chiara Barà; Sebastiano Stramaglia; Michal Javorka; Riccardo Pernice; Luca Faes (COINS, 2025)

Exploring transient neurophysiological states through local and time-varying measures of information dynamics. - Yuri Antonacci; Chiara Barà; Giulio de Felice; Antonino Sferlazza; Riccardo Pernice; Luca Faes (Appl. Math. Comput., 2025)

Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network. - Yuri Antonacci; Chiara Barà; Laura Sparacino; Ileana Pirovano; Alfonso Mastropietro; Giovanna Rizzo; Luca Faes (IEEE Trans. Biomed. Eng., 2025)

Information-theoretic Quantification of High-order Feature Effects in Classification Problems. - Ivan Lazic; Chiara Barà; Marta Iovino; Sebastiano Stramaglia; Niksa Jakovljevic; Luca Faes (CoRR, 2025)