EAI International Workshop – Biosignal Processing

Scope

The analysis and classification of the dynamics of a system have become an important and interdisciplinary problem, namely in biosignal applications. These signals display non-stationarity and non-linear characteristics. Traditional methodologies are not adequate to describe and classify signals with these characteristics.

The aim of this session is to allow the proposal of new issues and approaches in this area and promote their discussion.

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Topics

The Special Session will focus on, but not be limited to, topics such as:

• Medical Signal Acquisition, Analysis and Processing
• Time-frequency signal analysis
• Physiological Processes and Biosignal Modeling
• Non-Linear Dynamics
• Multiscale complexity analysis
• Cardiovascular signal analysis
• Pattern Recognition for biosignal
• Signal classification
• Machine Learning and Deep Learning for biosignal
• Neural Networks for biosignal
• Detection and Identification
• Multimodal Speech and Audio Processing
• Monitoring and Telemetry
• Motion Control
• Data mining for biosignals
• Multivariate signals

Workshop Chairs

Argentina Leite, UTAD University, Portugal – [email protected] 
Luís Torres Pereira, UTAD University, Portugal – [email protected]
E. J. Solteiro Pires, UTAD University, Portugal – [email protected]

Workshop Technical Program Committee

José Carlos Cardoso
Universidade de Trás-os-Montes e Alto Douro, Portugal
[email protected]

Jose Manuel López-Guede
Universidad del Pais Vasco, Spain
[email protected]

Juan Pablo Martínez Cortés
University of Zaragoza, Spain
[email protected]

Stefan Sauermann
Faculty Life Science Engineering, Austria
[email protected]

Sónia Gouveia
Universidade de Aveiro, Portugal
[email protected]

Bio of Workshop Chairs

Argentina Leite is an Assistant Professor in the Department of Mathematics at the University
of Trás-os-Montes and Alto Douro (UTAD), Portugal. Degree in Electrical Engineering from
UTAD, in 1996. Master in Applied Mathematics from the Faculty of Sciences of the University
of Porto (FCUP), in 2000. PhD in Applied Mathematics from FCUP, in 2008. She is a member
of the Center in Biomedical Engineering Research (C-BER) of the Institute for Systems and
Computer Engineering, Technology and Science (INESC TEC), UTAD pole, and her areas of
interest are: data analysis, modeling, and classification of Biomedical Signals.

E. J. Solteiro Pires received a degree in Electrical Engineering at the University of Coimbra,
in 1993. He pursued post-graduate studies and obtained, in 1999, an MSc. degree in
Electrical and Computer Engineering at the University of Oporto. In 2006, he graduated with
a Ph.D. degree from UTAD University. Since 2020 he has worked as an Associate Professor
with Habilitation at the Engineering Department of UTAD University. His main research
interests include artificial intelligence, particularly applied to signal processing.

Paper length

Short papers: 6-11 pages

Important dates