Event: Translational neural signal decoding for communication and epilepsy

Pre Xmas Seminar Webpage Postponed

EVENT POSTPONED

Monday 6 December 15h

Campus Biotech | REGISTER here for the in-person event only

Online / Zoom link to follow

We are on the cusp of a neural data revolution. An unprecedented quantity of quality multimodal data provided by a new generation of neural interface technology is set to drive assistive technologies, enable digital biomarker identification and offer unparalleled insights into disease.

Join us as we bring together scientists, engineers and clinicians to discuss how best to harness these insights to develop therapies, enhance diagnostics and improve care for people with neural disorders. The speakers will share their latest work on neural signal decoding for the restoration of communication using brain-computer interfaces (BCI) and their perspectives on clinical data acquisition and analysis for people with epilepsy. The event will be followed by an aperitif.

Meet the speakers


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Prof. Gernot Mueller Putz, PhD, Head of the Institute of Neural Engineering, Graz University of Technology
Nick Ramsey 01
Prof. Nick Ramsey, PhD, Professor of Cognitive Neuroscience and Group Leader, Brain Center, University Medical Center Utrecht
Pierre Megevand
Prof. Pierre Mégevand, MD, PhD, Group Leader Human Neuron Lab, Clinical and Scientific Fellow, UNIGE/HUG
Janir Ramos da Cruz
Janir Ramos da Cruz, PhD, Data Scientist, Wyss Center
Kyuhwa Lee
Kyuhwa Lee, PhD, Machine Learning Scientist, Wyss Center
George Kouvas
George Kouvas, MBA, Chief Technology Officer, Wyss Center

Agenda:

15h George Kouvas, MBA, Chief Technology Officer, Wyss Center

Introduction

15h10 Prof Gernot Mueller Putz, PhD, Graz University of Technology

Hand/arm movement decoding from non-invasive EEG: Status and what's next?

15h40  Prof Nick Ramsey, PhD, Brain Center, University Medical Center Utrecht

The data net cast with novel devices and their potential to provide unprecedented quantities of data for translational research. Examples from BCI for communication and epilepsy

16h10 Prof Pierre Megevand, MD, PhD, University of Geneva/Hôpitaux Universitaires de Genève

Clinical data acquisition and analysis for biomarker detection in epilepsy

16h30 Dr Janir Ramos da Cruz, PhD, Data Scientist, Wyss Center

AI-based seizure detection decision support tool for Epios Cloud

16h50  Dr Kyuhwa Lee, PhD, Machine Learning Scientist, Wyss Center

Recent advances in machine learning for decoding brain signals

17h10 Aperitif



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