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pro vyhledávání: '"Iris C. Brunner"'
Autor:
Iris C. Brunner, PhD, Eleni-Rosalina Andrinopoulou, PhD, Ruud Selles, PhD, Camilla Biering Lundquist, PhD, Asger Roer Pedersen, PhD
Publikováno v:
Archives of Rehabilitation Research and Clinical Translation, Vol 6, Iss 1, Pp 100315- (2024)
Objective: To externally validate the dynamic prediction model for prediction of upper limb (UL) function 6 months after stroke. The dynamic prediction model has been developed and cross-validated on data from 4 Dutch studies. Design: Data from a pro
Externí odkaz:
https://doaj.org/article/54fe787675364ef18074a4ef4b462ab1
Publikováno v:
Uyanik, C, Khan, M A, Brunner, I C, Hansen, J P & Puthusserypady, S 2022, Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation . in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 . IEEE, pp. 715-719, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871600
Stroke is a life-changing event that can affect the survivors' physical, cognitive and emotional state. Stroke care focuses on helping the survivors to regain their strength; recover as much functionality as possible and return to independent living
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e29082baf8b01fb752bdb03afdf0867
https://doi.org/10.1109/embc48229.2022.9871600
https://doi.org/10.1109/embc48229.2022.9871600