Special Session
Special Session on
Synthetic biosignals generation for clinical applications -
SyntBioGen
2025
20 - 22 February, 2025 - Porto, Portugal
Within the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2025
* CANCELLED *
CO-CHAIRS
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Luís Silva
NOVA School of Science and Technology
Portugal
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Brief Bio
Luís Silva holds a PhD in Human Movement and a master’s degree in Statistics, Mathematics, and Computing. He is a researcher and senior lecturer in the Physics Department at NOVA School of Science and Technology (NOVA-FCT), where he leads the AISYM4MED team, part of a Horizon Program project focused on synthetic clinical data generation. Silva’s postdoctoral journey began in the Biomechanics Department at the University of Nebraska, USA, supported by a COBRE pilot grant funded by the National Institutes of Health (NIH). In Portugal, he secured a postdoctoral grant in Biomedical Engineering at NOVA-FCT, where he contributed to the OPERATOR project, a MIT-led Industry 4.0 initiative. Additionally, he plays a key role in the Horizon project KEEPCARING, which aims to monitor stress and prevent burnout in healthcare professionals, and in the European Space Agency’s ASTROPOWER project, exploring the parallels between aging and microgravity adaptations. Silva's research spans biosignals, nonlinear analysis, and advanced artificial intelligence techniques applied to healthcare and human performance.
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Marília Barandas
Fraunhofer Portugal AICOS
Portugal
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Brief Bio
Marília Barandas is a Senior Scientist at the Intelligent Systems research group at Fraunhofer AICOS. She studied Biomedical Engineering and completed her MSc in 2013 and her PhD in 2023 at the NOVA School of Science and Technology (FCT NOVA). She has also been an Invited Assistant in the Physics Department at FCT NOVA since 2020. Before joining AICOS, she was an Assistant Lecturer in the Electrical and Computer Engineering Department at FCT NOVA and was a Research Engineer with the Computational Intelligence Research Group at the Centre of Technology and Systems. Her research interests include knowledge extraction, machine learning, uncertainty quantification, and explainable artificial intelligence.
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Ines Sousa
Fraunhofer Portugal AICOS
Portugal
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Brief Bio
Inês Sousa is Head of Intelligent Systems and Senior Scientist at Fraunhofer Portugal. She has been researching on machine learning, signal processing and time series analysis, specifically focusing on human motion analysis based on inertial sensors. In the Intelligent Systems Department, she leads a team of around 25 researchers, who investigate ways in which Artificial Intelligence can augment human potential in interpreting vast amounts of data, identifying patterns, anticipating events and supporting decisions. Inês Sousa holds a PhD in Biomedical Engineering from the University of Lisbon. Her thesis on functional Magnetic Resonance Imaging of the brain using quantitative methods was developed at Siemens Healthcare Portugal and distinguished with the António Xavier Award. Additionally, she has been a visiting researcher in the Biomedical Imaging Center (CIBM) at Ecole Polytechnique Fédérale de Lausanne, an invited lecturer in Master program in radiations applied to health technologies and research intern at Philips Research Europe.
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Ricardo Melo
Fraunhofer Portugal AICOS
Portugal
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Brief Bio
Ricardo Melo is a senior researcher at Fraunhofer Portugal AICOS, working on the Human-Centred Design team, where he is conducting design research and project management in the areas of industry 4.0, digital literacy, and technology assessment, including with non-mainstream audiences, among others. He is also a Guest Adjunct Professor at ISCAP P.Porto and has lectured in different universities. Ricardo holds a degree in Communication Design from the Faculty of Fine Arts of the University of Porto (2008), a Master in Multimedia from the Faculty of Engineering of the University of Porto (2012), and a PhD in Design from the University of Porto (2018). He is an expert in communication and interaction design, as well as on technology assessment in real life contexts. His research interests are in communication, interaction, interface and game design, as well as in user experience, accessibility and usability, digital media, storytelling, and creativity.
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SCOPE
Synthetic biosignals for clinical applications have emerged as powerful tools in healthcare, enabling researchers to generate large-scale datasets for training AI models, conducting data augmentation tasks, and overcoming data privacy challenges. However, generating high-quality synthetic data that accurately reflects real-world clinical scenarios remains a critical challenge.
This special session will focus on recent advances in synthesizing biosignals, such as ECG, EEG, and other clinical data streams, with a special emphasis on methods for evaluating the quality of generated data. The session will explore both quantitative metrics, such as statistical and signal processing measures, and qualitative assessments involving expert clinical evaluations. Accurate biosignal synthesis is key to improving AI-driven clinical decision support systems, diagnostic models, and personalized healthcare interventions.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Generative AI models Model Auditing
- Data Quality Methods: Fidelity, Diversity, Privacy, and Utility
- Bias Detection and Mitigation in Synthetic Clinical Data
- Expert-based Validation of Synthetic Data
IMPORTANT DATES
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library