Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms

One of the common causes of falls in people with Multiple Sclerosis (pwMS) is walking impairment. Therefore, assessment of gait is of importance in MS. Gait analysis and fall detection can take place in the clinical context using a wide variety of available methods. However, combining these methods...

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Detalles Bibliográficos
Autores principales: Schumann, Paula, Scholz, Maria, Trentzsch, Katrin, Jochim, Thurid, Śliwiński, Grzegorz, Malberg, Hagen, Ziemssen, Tjalf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688245/
https://www.ncbi.nlm.nih.gov/pubmed/36358403
http://dx.doi.org/10.3390/brainsci12111477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688245/
https://www.ncbi.nlm.nih.gov/pubmed/36358403
http://dx.doi.org/10.3390/brainsci12111477

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