Profiling Somatosensory Impairment after Stroke: Characterizing Common “Fingerprints” of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb

Altered somatosensory function is common among stroke survivors, yet is often poorly characterized. Methods of profiling somatosensation that illustrate the variability in impairment within and across different modalities remain limited. We aimed to characterize post-stroke somatosensation profiles...

Descripción completa

Detalles Bibliográficos
Autores principales: Senadheera, Isuru, Larssen, Beverley C., Mak-Yuen, Yvonne Y. K., Steinfort, Sarah, Carey, Leeanne M., Alahakoon, Damminda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526214/
https://www.ncbi.nlm.nih.gov/pubmed/37759854
http://dx.doi.org/10.3390/brainsci13091253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526214/
https://www.ncbi.nlm.nih.gov/pubmed/37759854
http://dx.doi.org/10.3390/brainsci13091253

Ejemplares similares