The summer school is a part of an initiative on innovative digital technologies for analyzing large datasets related to human health and is funded by the ATHENA European University alliance. The program will focus on advanced methods for processing bioelectric data, including signals such as electromyography (EMG), electroencephalography (EEG), and electrocardiography (ECG). The aim is to provide both basic and advanced knowledge of multidimensional signal processing, based on techniques such as complexity measures, factorial methods, and tensor decompositions. The courses are designed to be accessible to non-specialists, while also providing more in-depth information to participants with prior experience.
Objective and background
The summer school is a part of an initiative on innovative digital technologies for analyzing large datasets related to human health and is funded by the ATHENA European University alliance. The program will focus on advanced methods for processing bioelectric data, including signals such as electromyography (EMG), electroencephalography (EEG), and electrocardiography (ECG). The aim is to provide both basic and advanced knowledge of multidimensional signal processing, based on techniques such as complexity measures, factorial methods, and tensor decompositions. The courses are designed to be accessible to non-specialists, while also providing more in-depth information to participants with prior experience.
Distinguished plenary speakers will be present at the program: Prof. Ales Holobar from the University of Maribor, Prof. Anne Humeau-Heurtier from the University of Angers, Prof. Steeve Zozor from Centre National de Recherche Scientifique CNRS, and Prof. Karim-Abed-Meraim, Prof. Philippe Ravier and Dr Olivier Buttelli from the University of Orléans. Participants in the summer school will receive a certificate of participation, and an accreditation validation by the network’s doctoral schools is also possible.
Convenors
Philippe Ravier, Olivier Buttelli, Meryem Jabloun & Karim Abed-Meraim
PRISME Laboratory / University of Orléans – FR
Programme
14:00-17:30 Decomposition methods – session 1
Tensor methods: Concepts, Algorithms & Applications
Speakers: Prof. Karim Abed-Meraim and Dr Thanh Le, University of Orléans, France
9:30-12:00 Decomposition methods – session 2
Decomposition methods for electromyographic signals
Speaker: Prof. Aleš Holobar, University of Maribor, Slovenia
14h-17h Decomposition methods – practical session
Practical workshops on measurement and calculation of HD-EMG signals
Trainers for the full processing chain (acquisition, processing and interpretation): Dr Meryem Jabloun and Dr Olivier Buttelli, University of Orléans, France and Prof. Aleš Holobar, University of Maribor, Slovenia
9:00-12:30 Complexity measures – session 1
Review of some entropy methods with biomedical applications
Speaker: Prof. Anne Humeau-Heurtier, University of Angers, France
Permutation entropy methods with applications
Speaker: Prof. Philippe Ravier, University of Orléans, France
14:00-16:00 Complexity measures – session 2
Some complexity measures and their multidimensionnal extensions
Speaker: Director of Research Steeve Zozor, CNRS, Grenoble, France
Registration:
- ATHENA members : FREE (upon acceptance)
- Non-ATHENA members : 100€
- Register here
