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09.07.2021 | Elektroenzephalografie | Leitthema

Automatisierte Anfallsdetektion mit Wearables: Welche Technologien für welche Biosignale?

verfasst von: Prof. Dr. med. Andreas Schulze-Bonhage, Sebastian Böttcher, Nicolas Zabler, Martin Glasstetter, Matthias Dümpelmann

Erschienen in: Clinical Epileptology | Ausgabe 3/2021

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Zusammenfassung

Epileptische Anfälle manifestieren sich je nach Anfallstyp motorisch, autonom, kognitiv oder auch emotional. Mobile Erfassungssysteme (Wearables) können bei geeigneter Ausstattung mit Sensoren spezifische Signaturen dieser Erscheinungsformen erfassen und zur Detektion von Anfällen, zur Anfallsvorhersage oder auch für ein Risikoassessment eingesetzt werden. Aktuell sind die Leistungen von Wearables mit integrierten Bewegungssensoren bei motorischen Anfällen mit tonischer und klonischer Komponente am besten, andere Anfallsformen sind jedoch ebenfalls geeignete Kandidaten für eine objektive Anfallserfassung. Die Kombination mit Ultralangzeit-EEG-Registrierungen erweitert das Spektrum erfassbarer Anfallsformen und eröffnet eine Perspektive für eine qualitativ neue Ära des Therapiemonitorings.

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Titel: Automatisierte Anfallsdetektion mit Wearables: Welche Technologien für welche Biosignale?
verfasst von: Prof. Dr. med. Andreas Schulze-Bonhage
Sebastian Böttcher
Nicolas Zabler
Martin Glasstetter
Matthias Dümpelmann
Publikationsdatum: 09.07.2021
Verlag: Springer Medizin
Schlagwörter: Elektroenzephalografie
EKG
EKG
Erschienen in: Clinical Epileptology / Ausgabe 3/2021
Print ISSN: 2948-104X
Elektronische ISSN: 2948-1058
DOI: https://doi.org/10.1007/s10309-021-00421-4

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