Machine learning aided classification of tremor in multiple sclerosis

BACKGROUND: Tremors are frequent and disabling in people with multiple sclerosis (MS). Characteristic tremor frequencies in MS have a broad distribution range (1–10 Hz), which confounds the diagnostic from other forms of tremors. In this study, we propose a classification method for distinguishing M...

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Detalles Bibliográficos
Autores principales: Hossen, Abdulnasir, Anwar, Abdul Rauf, Koirala, Nabin, Ding, Hao, Budker, Dmitry, Wickenbrock, Arne, Heute, Ulrich, Deuschl, Günther, Groppa, Sergiu, Muthuraman, Muthuraman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287478/
https://www.ncbi.nlm.nih.gov/pubmed/35834887
http://dx.doi.org/10.1016/j.ebiom.2022.104152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287478/
https://www.ncbi.nlm.nih.gov/pubmed/35834887
http://dx.doi.org/10.1016/j.ebiom.2022.104152

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