BISA-P5.1
A Multi-Branch Deep Learning Framework for EEG-Based Parkinson’s Disease Classification Using LSTM and YAMNet Features
Ali Aldujaili, Manuel Rosa Zurera, University of Alcala, Spain; Mohammed Dauwed, University of Baghdad, Iraq
Session:
BISA-P5: Electrophysiological Signal Feature Extraction, Classification, and Clinical Applications Poster
Track:
BISA - Biomedical Image & Signal Analytics
Location:
Balcony I East
Presentation Time:
Fri, 4 Sep, 10:30 - 12:30 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session BISA-P5
BISA-P5.1: A Multi-Branch Deep Learning Framework for EEG-Based Parkinson’s Disease Classification Using LSTM and YAMNet Features
Ali Aldujaili, Manuel Rosa Zurera, University of Alcala, Spain; Mohammed Dauwed, University of Baghdad, Iraq
BISA-P5.2: Physiological Contagion Under Stress: A Comparative Evaluation of EDA Synchrony Metrics in Adult–Child Dyads
Laura Lavezzo, University of Pisa, Italy; Despina Antypa, Foundation for Research and Technology - Hellas, Greece; Alexandra Allevi, Luane Rasmussen, University of Geneva, Switzerland; Enzo Pasquale Scilingo, University of Pisa, Italy; Manuela Filippa, University of Geneva, Switzerland; Panagiotis Simos, Foundation for Research and Technology - Hellas, Greece; Ulrike Rimmele, University of Geneva, Switzerland; Mimma Nardelli, University of Pisa, Italy
BISA-P5.3: BRIDGING PRIVACY AND UTILITY: SYNTHESIZING ANONYMIZED EEG WITH CONSTRAINING UTILITY FUNCTIONS
Kay Fuhrmeister, Arne Pelzer, Fabian Radke, Fraunhofer IDMT, Germany; Julia Lechinger, University Hospital Schleswig-Holstein, Germany; Mahzad Gharleghi, Thomas Köllmer, Insa Wolf, Fraunhofer IDMT, Germany
BISA-P5.4: Evidence of Peripheral Nerve Activity via Propagation Patterns in Extraneural Recordings
Juliette Barret, Olivier Meste, Université Côte d'Azur, I3S, CNRS, France; Thomas Boudier, Centrale Méditerranée, Université Côte d'Azur, I3S, CNRS, France
BISA-P5.5: TEAGER-KAISER ENERGY METHODS FOR EEG FEATURE EXTRACTION IN BIOMEDICAL APPLICATIONS
Ioanna Chourdaki, National Technical University of Athens, Greece; Kleanthis Avramidis, University of Southern California, United States; Christos Garoufis, National Technical University of Athens, Greece; Athanasia Zlatintsi, Athena Research Center, Greece; Petros Maragos, National Technical University of Athens, Greece
BISA-P5.6: ENHANCE: ERROR-CORRECTING SYMBOLIC LEARNING FOR ROBUST EEG EMOTION CLASSIFICATION
Rupayan Chakraborty, Sunil Kumar Kopparapu, Tata Consultancy Services Limited, India
BISA-P5.7: A COMPARATIVE STUDY OF AGGREGATION AND FEATURE SELECTION STRATEGIES FOR SUBJECT-LEVEL ADHD CLASSIFICATION USING EEG
Sude Pehlivan Akbugday, Izmir University of Economics, Turkey; Ozlem Karabiber Cura, Izmir Katip Celebi University, Turkey; Aydin Akan, Izmir University of Economics, Turkey
BISA-P5.8: IMPROVING FUNCTIONAL CONNECTIVITY MAPPING USING SOURCE-BASED PATHOLOGY-INFORMED ATLAS SEGMENTATION
Maël Pereira, Amar Kachenoura, Maxime Yochum, Laurent Albera, Isabelle Merlet, University of Rennes, INSERM, France
BISA-P5.9: From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs
Davoud Hajhassani, Bruno Aristimunha, Paul-Adrien Graignic, Apolline Mellot, Lionel Kusch, Yneuro, France; Arnaud Delorme, SCCN, INC, SDSC, University of California San Diego, United States; Thomas Semah, Arnault H. Caillet, Yneuro, France
BISA-P5.10: Brain Connectivity: From network science to tensor models
Borbala Hunyadi, Maastricht University, Netherlands; Selin Aviyente, Michigan State University, United States