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...

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Detalles Bibliográficos
Autores principales: Abrami, Avner, Heisig, Stephen, Ramos, Vesper, Thomas, Kevin C., Ho, Bryan K., Caggiano, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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