The accepted contributions highlight our group’s interdisciplinary research at the intersection of artificial intelligence, digital health, computer vision, wearable sensing, and clinical epileptology. Our work focuses on the development of digital biomarkers and AI-based analysis methods to improve the monitoring, diagnosis, and understanding of epilepsy.

Research Topics

The presented studies cover several emerging directions in AI-driven epilepsy research, including:

• Contactless measurement of vital parameters using camera-based sensing technologies
• 3D human pose estimation for video-EEG monitoring to analyze seizure-related body movements
• Eye-tracking metrics for cognitive assessment in epilepsy, including contextualized analysis of visual search strategies
• Effects of anti-seizure medication on eye-tracking parameters in patients with epilepsy
• Eye tracking during the Trail Making Test and its association with depressive symptoms
• Secure and trustworthy AI models for seizure detection using wearable devices
• Electrocardiographic changes under cenobamate therapy based on extended ECG recordings

These contributions reflect ongoing collaborations between computer scientists, physicists, neurologists, and clinical researchers at the University Hospital Bonn and partner institutions.

A large part of the work has been carried out by PhD students and early-career researchers, demonstrating the strong integration of young scientists in our research activities.

We look forward to presenting our work in Würzburg and discussing these results with colleagues from the international epilepsy research and digital medicine community.

@conference{simsek2026a,

title = {Kontaktloses kamerabasiertes Messen von Vitalparametern},

author = {Koray Simsek and Johannes Müllers and Rainer Surges and Björn Krüger},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{nokey,

title = {Kontextualisierte Eye-Tracking-Metriken zur Charakterisierung von Suchstrategien bei Personen mit Epilepsie und Kontrollen},

author = {Anna Jansen and Melissa Steininger and Sarah Al-Haj Mustafa and Nataly Bouzan and Rainer Surges and Christoph Helmstaedter and Randi von Wrede and Björn Krüger},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{gress2026a,

title = {Anforderungen an sichere KI-Modelle zur Anfallsdetektion mit Wearables in der Epileptologie},

author = {Hannah Greß and Nazila Ahmadi Daryakenari and Christian Bungartz and Felix Viola and Marco Markwald and Gabriela Brüll and Uttam Kumar and Marc Ohm and Rainer Surges and Michael Meier and Elena Demidova and Björn Krüger},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{vetter2026,

title = {Kontaktlose 3D-Human-Pose-Estimation im Video-EEG-Monitoring von Epilepsiepatienten},

author = {Jonas Vetter and Johannes Müllers and Federico Spurio and Rainer Surges and Juergen Gall and Björn Krüger},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{Pukropski2026a,

title = {Elektrokardiographische Veränderungen unter Cenobamat – eine retrospektive Prä-Post-Analyse aus verlängerten EKG-Ableitungen bei Patient*innen mit Epilepsie},

author = {Jan Pukropski and Lisa Keßler and Randi von Wrede and Rainer Surges and Björn Krüger},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{steininger2026c,

title = {Zusammenhänge zwischen Anfallssuppressiva und kontextualisierten Eye-Tracking-Metriken bei Menschen mit Epilepsie},

author = {Melissa Steininger and Anna Jansen and Sarah Al-Haj Mustafa and Nataly Bouzan and Rainer Surges and Christoph Helmstaedter and Randi von Wrede and Björn Krüger},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

@conference{mustafa2026a,

title = {Wer suchet, der findet: Eye Tracking beim Trail Making Test bei Epilepsie – Zusammenhänge mit depressiver Symptomatik},

author = {Sarah Al-Haj Mustafa and Anna Jansen and Melissa Steininger and Johannes Müllers and Rainer Surges and Christoph Helmstaedter and Björn Krüger and Randi von Wrede},

year  = {2026},

date = {2026-06-13},

urldate = {2026-06-13},

booktitle = {64. Jahrestagung der Deutschen Gesellschaft für Epileptologie},

keywords = {},

pubstate = {forthcoming},

tppubtype = {conference}

}

The accepted contributions are:

• Linking Higher-Level Eye Tracking Metrics to High-Impact Antiseizure Medication in Epilepsy Patients
• Higher-Level Eye Tracking Metrics Reveal Search Behaviour Differences in Persons with Epilepsy vs. Healthy Controls

Anna Jansen and Melissa Steininger will present this work at the conference.

We look forward to continuing our research on digital health and AI in epilepsy in the coming year and wish everyone a restful holiday season.

His contribution highlighted ongoing projects ranging from wearable-based motion analysis—using lightweight models for activity and emotion recognition—to eye-tracking studies in epilepsy that investigate how cognitive changes and medication side effects manifest in eye movements.

The event offered a valuable opportunity for exchange with fellow panelists Stephen Lee (College of Medicine, University of Saskatchewan) and Raymond Ng (Data Science Institute / AI & Health Network, University of British Columbia) and Daniel Fuller (University of Saskatchewan) who did an excellent job in moderation and organization.

The discussion underscored a central theme of his work: AI in healthcare is not only about accuracy—its true impact lies in improving quality of life, supporting clinicians, and empowering patients.

Accepted Contributions – Dreiländertagung Epilepsie 2025 in Salzburg:
Digital Transformation of Blood Sample Management
EpiEye – Effects of Seizure-Suppressive Medications on Eye Movements and Autonomic Changes in Epilepsy
Establishing an Epileptological Teleconsultation Between Siegen Hospital and University Hospital Bonn
ANNE – Eye-Tracking for Detecting Side Effects in Epilepsy
Semiological Characteristics of Temporal Lobe Epilepsy with GAD65 Antibodies

Accepted Contributions – International Conference on Artificial Intelligence in Epilepsy and Other Neurological Disorders 2025:
Eye-Tracking Reveals Search Behaviour in Epilepsy Patients
Prediction Models on Eye-Tracking Data in Epilepsy

Accepted Contribution – Wissenschaftlichen Tagung Autismus-Spektrum (WTAS)
Multi-Stream Analysis for Robust Head Gesture Classification in Natural Social Interaction: Leveraging High-Resolution Sensor Data for Optimized Visual Classification

We sincerely thank all contributors for their dedication and hard work. We look forward to engaging discussions, inspiring exchanges, and exciting collaborations at these upcoming conferences!

Wishing everyone a successful and inspiring year ahead!