Important dates

Abstract submission deadline: April 31th, 2025

Late breaking abstracts deadline: June 11th, 2025

Early bird registration:  June 30th, 2025

Final Program – last updated August 26

Thursday, September 4

12:00-19:00 Registration
12:30-18:00 Home Video EEG Telemetry masterclass - download full HVET program here
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)

Main topics

Pre-congress home video-EEG telemetry masterclass

I. Seizure detection

a. Full scalp EEG

b. Wearable EEG

c. Video

d. Multimodal

e. Seizure Quantification

f. Seizure Severity

II. Seizure prediction and forecasting

a. Forecasting Apps

b. Devices

III. Apps in Epilepsy

a. Diagnosis

b. Choice of therapy

c. Patient self-management apps

IV. Closed loop systems

V. Big data

a. Common data elements

b. Open data-sources

c. Online tools

VI. Telemedicine

VII. Artificial Intelligence

a. Overview + ethics (Colin Josephson)

b. Genetics

c. Imaging

d. EEG analysis

VIII. Digital technology and wearables in drug trials