TMTSP-SS1: Recurrence Plots and Recurrence Analysis for Signal Processing Applications
Wed, 2 Sep, 10:30 - 12:30 Belgium Time (UTC +2)
Location: Studio 1
Session Type: Lecture
Track: Special Sessions
Wed, 2 Sep, 10:30 - 10:50 Belgium Time (UTC +2)

TMTSP-SS1.1: Recurrence plots for analysing highly discrete data
Norbert Marwan, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Germany
Wed, 2 Sep, 10:50 - 11:10 Belgium Time (UTC +2)

TMTSP-SS1.2: Musical and neurological patterns of recurrence: an application to major depressive disorder
Maria Mannone, ICAR-CNR, Italy; University of Potsdam, Germany; Ca' Foscari University of Venice, Italy, Italy; Patrizia Ribino, ICAR-CNR, Italy; Peppino Fazio, Ca' Foscari University of Venice, Italy; Technical University of Ostrava, Czechia, Italy
Wed, 2 Sep, 11:10 - 11:30 Belgium Time (UTC +2)

TMTSP-SS1.3: Effect of the Embedding Delay on Recurrence Plot Analysis in Heart Rate Variability
Claudia Lerma, Instituto Nacional de Cardiología Ignacio Chávez, Mexico; Itayetzin Beurini Cruz-Vega, Universidad Nacional Autónoma de México, Mexico
Wed, 2 Sep, 11:30 - 11:50 Belgium Time (UTC +2)

TMTSP-SS1.4: IMPACT OF AD HOC PHASE-SPACE RECONSTRUCTION PARAMETERS ON RECURRENCE QUANTIFICATION ANALYSIS OF HEART RATE VARIABILITY IN AORTIC VALVE DISEASE
Itayetzin Beurini Cruz-Vega, Faculty of Medicine Universidad Nacional Autónoma de México, Mexico; Nydia Ávila-Vanzzini, Medimanage Research Clinical Research Center, Mexico; Juan C. Echeverria, Universidad Autónoma Metropolitana Unidad Iztapalapa, Mexico; Claudia Lerma, Instituto Nacional de Cardiología Ignacio Chávez, Mexico
Wed, 2 Sep, 11:50 - 12:10 Belgium Time (UTC +2)

TMTSP-SS1.5: BETA-DIVERGENCE-BASED RECURRENCE ANALYSIS OF EEG SIGNALS FOR SEIZURE DETECTION
Filip Polakowski-Karol, Carlos Martínez, Pietro Bonizzi, Joël Karel, Ralf Peeters, Philippe Dreesen, Martijn Boussé, Maastricht University, Netherlands
Wed, 2 Sep, 12:10 - 12:30 Belgium Time (UTC +2)

TMTSP-SS1.6: Recurrence analysis of piezoelectric sensor signals for non-destructive diagnostics of electric parking brake modules
Bartłomiej Ambrożkiewicz, Arkadiusz Syta, Faculty of Mathematics and Technical Computer Science, Lublin University of Technology, Poland; Łukasz Wójcik, Maciej Suwała, Borg Automotive Group Lublin, Poland