Final Program – last updated August 26
Thursday, September 4
12:00-19:00 Registration
20:00 Conference dinner at the venue. Please remember to register in advance
Friday, September 5
8:00-9:30 Seizure detection using EEG: What´s new in this old story? – Andreas Schulze-Bonhage
- 8:00-8:30. Clinical indications for ultralong-term monitoring. Andreas Schulze-Bonhage
- 8:30-9:00. Seizure detection based on scalp EEG: state of the art. Christoph Baumgartner
- 9:00-9:15. Platform 1. Ultra-long subcutaneous EEG monitoring in drug-resistant focal epilepsies: Clinical yields and challenges. Guido Rubboli (Dianalund, Denmark)
- 9:15-9:30. Platform 2. Long Term Adherence to a Subcutaneous 2-Channel EEG System in Patients with Focal Epilepsy. Nicolas Zabler (Freiburg, Germany)
9:30-10:00 Coffee break
10:00-11:30 Seizure quantification using wearables: Can we trust it? – Roland Thijs
- 10:00-10:30. Seizure detection and quantification with multimodal wearables. Tobias Loddenkemper (Boston, USA)
- 10:30-11:00. Detection of focal seizures using heart rate variability
- 11:00-11:30. Accelerometry-based seizure detection using an inexpensive smart watch. Philippe Ryvlin (Lausanne, Switzerland)
11:30-12:15 Sponsored lecture by UNEEG Medical
New insights from ultra long-term subcutaneous EEG studies
- Sándor Beniczky, Prof, MD: A tale of 365 nights: a yearlong electroencephalography investigation into human sleep in natural conditions.
- Pedro Viana, MD: Real-world epilepsy monitoring with ultra long-term subcutaneous EEG: a 15-month prospective study
12:15-13:30 Lunch break and Poster tour
12:30-13:30 Panel discussion Workshop in room #3:
The Biomarker Buffet: A la carte or fixed menu? (Sponsored by Livanova)
Panellists: Tobias Loddenkemper, Jacqueline French, Pip Karoly
Moderator: Arjune Sen
13:30-15:15 Seizure prediction and forecasting: Are we there yet? – Mark Cook
- 13:30-14:00. Forecasting with Cycles: Patient reported outcomes. Philippa Karoly (Melbourne AU)
- 13:00-14:30. The future’s not what it used to be: problems with forecasting. Dan Goldenholz (Boston, USA)
- 14:30-15:00. Wearable forecasting. Solveig Vieluf (Munich, Germany)
- 15:00-15:15. Real-world challenges and applications of seizure forecasting. Rachel Sterling (Melbourne, Australia)
15:15-15:45 Coffee break
15:45-17:15 Applications in epilepsy: The help is on your smartphone. – Arjune Sen
- 15:45-16:05. An introduction to apps: the what, the when, the how, the for whom and the why. Gabriel Jones (UK)
- 16:05-16:25. Apps for the diagnosis of epilepsy. Sameer Zuberi (UK)
- 16:25-16:45. Apps and wearables: The future of clinical trials. Jacqueline French (USA)
- 16:45-17:05. Apps for a more holistic management of global epilepsy. Arjune Sen (UK)
- 17:05 onwards. Panel discussion
17:15-17:45 Coffee break
17:45-19:15 Closed loop systems in epilepsy – Michael Sperling
- 17:45-18:45. Debate: Closed loop systems offer no advantage over open loop systems in neurostimulation
- Closed loop offer no advantage over open loop systems. Michael Sperling
- Closed loop systems offer advantage over open loop systems. Gregory Worrell
- 18:45-19:00. Addressing common challenges in diagnostics, seizure tracking, and prediction tools. Caitlin Grzeskowiak
- 19:00-19:15. Platform 3. Quality of life improvement and reduction of accidents with the mjn-SERAS medical device. David Blánquez (Girona, Spain)
- 19:15-19:40. Seizure prediction competition: the two winners. Matthias Dümpelmann (Freiburg, Germany)
Saturday, September 6
08:00-9:30 Artificial Intelligence in epilepsy: Is this a game changer? - Sam Lhatoo
- 08:00-08:30. AI for prediction of the epileptic focus using SEEG: the class imbalance problem. Birgit Frauscher (USA)
- 08:30-09:00. AI – in management of people with epilepsy: are we there yet? Sam Lhatoo (Houston, USA)
- 09:00-09:30. AI in epilepsy genetics. Dennis Lal (Houston, USA)
9:30-10:00 Coffee break
10:00-11:45 Artificial Intelligence in epilepsy: The low-hanging fruits. - Sándor Beniczky
- 10:00-10:30. SCORE-AI. Sándor Beniczky (Denmark)
- 10:30-11:00. AI in epilepsy neuroimaging. Konrad Wagstyl (UK)
- 11:00-11:15. Platform 4. Generalizable Video-Based Pose Analysis for Tonic-Clonic Seizure Detection. John Stern (Los Angeles, USA)
- 11:15-11:30. Platform 5. Analysis of a Discrete Electrographic Seizure Detection Algorithm. Mitchell Frankel (Salt Lake City, USA)
- 11:30-11:45. Platform 6. Wearable Devices for Seizure Detection in Epilepsy. Tom Stanton (USA)
11:45-13:00 Lunch break and Poster tour
13:00-14:30 Telemedicine: From dream to reality. - Mark Richardson
- 13:00-13:30. Telemedicine for epilepsy - the TELE-EPIC trial. Luca Vignatelli (Bologna, Italy)
- 13:30-14:00. Seizure cycles at home: What can we do? Maxime Baud (Bern, Switzerland)
- 14:00-14:15. Platform 7. Characterising sleep in people with focal epilepsy using smartphone touchscreen interactions. Arthur van Nieuw Amerongen (Netherlands)
- 14:15-14:30. Platform 8. Wearable Neuroendocrine Sensor for SUDEP Prediction. Onur Parlak (Stockholm, Sweden)
14:30-15:00 Coffee break
15:00-16:30 Big data in epilepsy – Colin Josephson
- 15:00-15:30. Big data: leveraging its value through best practices. Colin Josephson (Canada)
- 15:30-16:00. Big data: from theory to practice. Jakob Christensen (Denmark)
- 16:00-16:15. Platform 9. Lampsy: Improving False Alarm Rates in Video-Based Tonic-Clonic Seizure Detection. Vicente M. Garção (Lisboa, Portugal)
- 16:15-16:30. Platform 10. Search Behavior - Metrics for Analysis of Eye Tracking Data. Anna Jansen (Bonn, Germany)