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Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals
Chemnitz University of Technology, Germany.
RISE Research Institutes of Sweden, Digital Systems, Data Science. Örebro University, Sweden.ORCID iD: 0000-0002-6032-6155
Mayo Clinic Rochester, USA.
Seer Medical, Australia.
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2024 (English)In: Nature Machine Intelligence, ISSN 2522-5839, Vol. 6, no 2, p. 243-244Article in journal (Refereed) Published
Abstract [en]

The “My Seizure Gauge” competition explored the challenge of forecasting epileptic seizures using non-invasive wearable devices without an electroencephalogram. The organizers and the winning team reflect on their experiences. 

Place, publisher, year, edition, pages
Nature Research , 2024. Vol. 6, no 2, p. 243-244
Keywords [en]
Epileptic seizures; Wearable devices; Neurophysiology
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:ri:diva-73015DOI: 10.1038/s42256-024-00799-6Scopus ID: 2-s2.0-85185110710OAI: oai:DiVA.org:ri-73015DiVA, id: diva2:1852314
Available from: 2024-04-17 Created: 2024-04-17 Last updated: 2024-04-17Bibliographically approved

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Kleyko, Denis

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