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Using an unbiased symbolic movement representation to characterize Parkinson’s disease states
Unconstrained human movement can be broken down into a series of stereotyped motifs or ‘syllables’ in an unsupervised fashion. Sequences of these syllables can be represented by symbols and characterized by a statistical grammar which varies with external situational context and internal neurologica...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7193555/ https://www.ncbi.nlm.nih.gov/pubmed/32355166 http://dx.doi.org/10.1038/s41598-020-64181-3 |