26-30 July 2026

EMBC 2026

Toronto, Canada
Th.1.2.1

VALIDATION OF MULTIDIMENSIONAL RECURRENCE QUANTIFICATION ANALYSIS FOR INTERPERSONAL HEART RATE SYNCHRONY DURING COOPERATIVE AND COMPETITIVE INTERACTIONS

Yuzuka Takemura, Electrical Engineering Program, Graduate School of Science and Technology; Candelaria Gomez de la Calzada, Organization for Research and Innovation; Yumie Ono, Department of Electronics and Bioinformatics, School of Science and Technology

Session:
Th.1.2: Physiological Networks and Multivariate Signal Processing Oral

Track:
Biomedical Signal Processing

Location:
Room 715A

Presentation Time:
Thursday, 30 July, 08:30 - 08:45

Session Co-Chairs:
Matthew King-Hang Ma and Proloy Das
Presentation
Discussion
Resources
No resources available.
Session Th.1.2
Th.1.2.1: VALIDATION OF MULTIDIMENSIONAL RECURRENCE QUANTIFICATION ANALYSIS FOR INTERPERSONAL HEART RATE SYNCHRONY DURING COOPERATIVE AND COMPETITIVE INTERACTIONS
Yuzuka Takemura, Electrical Engineering Program, Graduate School of Science and Technology; Candelaria Gomez de la Calzada, Organization for Research and Innovation; Yumie Ono, Department of Electronics and Bioinformatics, School of Science and Technology
Th.1.2.2: Exploring the Interaction between Brainstem Autonomic Nuclei and Cardiorespiratory Signals in Functional Dyspepsia
Marta Iovino, University of Palermo; Lizbeth J. Ayoub, Michael Datko Datko, Karen Lin, Noah Naddaff-Slocum, Andrew Bolender, Jun-Hwan Lee, Ted Kaptchuk, Vitaly Napadow, Harvard Medical School; Riccardo Barbieri, Politecnico di Milano; Riccardo Pernice, University of Palermo; Roberta Sclocco, Harvard Medical School
Th.1.2.3: AN INFORMATION-THEORETIC STRATEGY TO DISSECT REDUNDANT AND SYNERGISTIC CARDIOVASCULAR AND RESPIRATORY INTERACTIONS IN POSTURAL STRESS
Helder Pinto, Faculdade de Ciencias, Universidade do Porto; Michal Javorka, Jessenius Faculty of Medicine, Comenius University in Bratislava; Luca Faes, University of Palermo; Ana Paula Rocha, Faculdade de Ciencias, Universidade do Porto
Th.1.2.4: HOW MUCH BETTER IS AI REALLY? A COMPARISON OF CLASSICAL, MACHINE LEARNING AND DEEP LEARNING APPROACHES FOR HIGH DIMENSIONAL MAGNETOCARDIOGRAPHY
Dominik Kranz, Charité Universitätsmedizin Berlin; Sebastian Bannasch, Biomagnetik Park GmbH; Jai-Wun Park, Charité Universitätsmedizin Berlin; Niels Wessel, MSB Medical School Berlin
Th.1.2.5: Informative Randomness Driving Unknown Multivariate Complex Systems: a Preliminary Study on Brain-heart Dynamics
Andrea Scarciglia, Vincenzo Catrambone, Claudio Bonanno, Gaetano Valenza, University of Pisa
Th.1.2.6: An Information-Theoretic Framework for the Characterization of Heartbeat-Evoked Responses
Valeria Rosalia Vergara, University of Palermo; Andrea Zaccaro, University Chieti-Pescara; Roberta Saputo, University of Palermo; Francesca Ferri, University Chieti-Pescara; Luca Faes, Yuri Antonacci, University of Palermo
Resources
No resources available.