Leveraging machine learning for digital gait analysis in ataxia using sensor-free motion capture

Abstract Background Gait disturbances are the clinical hallmark of ataxia. Their severity is assessed within a well-established clinical scale, which only allows coarse scoring and does not reflect the complexity of individual gait deterioration. We investigated whether sensor-free motion capture en...

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Autores principales:	Philipp Wegner, Marcus Grobe-Einsler, Lara Reimer, Fabian Kahl, Berkan Koyak, Tim Elter, Alexander Lange, Okka Kimmich, Daniel Soub, Felix Hufschmidt, Sarah Bernsen, Mónica Ferreira, Thomas Klockgether, Jennifer Faber
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2026-01-01
Colección:	Communications Medicine
Acceso en línea:	https://doi.org/10.1038/s43856-025-01258-y
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