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Article

At-home wearables and machine learning capture motor impairment and progression in adult ataxias

2024-10-29

Abstract excerpt

A significant barrier to developing disease-modifying therapies for spinocerebellar ataxias (SCAs) and multiple system atrophy of the cerebellar type (MSA-C) is the scarcity of tools to sensitively measure disease progression in clinical trials. Wearable sensors worn continuously during natural behavior at home have the potential to produce ecologically valid and precise measures of motor function by leveraging fr...

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Literature Corpus work
83ce8198-5fbb-54fd-b103-15e19d29e5a4
DOI
10.1101/2024.10.27.24316161
Open publication

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At-home wearables and machine learning capture motor impairment and progression in adult ataxiasDOI 10.1101/2024.10.27.24316161
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