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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| Huvudupphov: | , , , , , , , , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Nature Portfolio
2026-01-01
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| Serie: | Communications Medicine |
| Länkar: | https://doi.org/10.1038/s43856-025-01258-y |
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