Detecting tonic-clonic seizures in multimodal biosignal data from wearables: methodology design and validation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
JMIR mHealth and uHealth. - 9, 11 (2021) , e27674, ISSN: 2291-5222
- Klassifikation
-
Medizin, Gesundheit
- Ereignis
-
Veröffentlichung
- (wo)
-
Freiburg
- (wer)
-
Universität
- (wann)
-
2021
- Urheber
-
Böttcher, Sebastian
Bruno, Elisa
Manyakov, Nikolay
Epitashvili, Nino
Claes, Kasper
Glasstetter, Martin
Thorpe, Sarah
Lees, Simon
Dümpelmann, Matthias
Laerhoven, Kristof Van
Richardson, Mark P.
Schulze-Bonhage, Andreas
RADAR-CNS Consortium, Study Group
- DOI
-
10.2196/27674
- URN
-
urn:nbn:de:bsz:25-freidok-2230937
- Rechteinformation
-
Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 MEZ
Datenpartner
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Beteiligte
- Böttcher, Sebastian
- Bruno, Elisa
- Manyakov, Nikolay
- Epitashvili, Nino
- Claes, Kasper
- Glasstetter, Martin
- Thorpe, Sarah
- Lees, Simon
- Dümpelmann, Matthias
- Laerhoven, Kristof Van
- Richardson, Mark P.
- Schulze-Bonhage, Andreas
- RADAR-CNS Consortium, Study Group
- Universität
Entstanden
- 2021
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