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...

Full description

Bibliographic Details
Published in:Brain Sciences
Main Authors: Isuru Senadheera, Beverley C. Larssen, Yvonne Y. K. Mak-Yuen, Sarah Steinfort, Leeanne M. Carey, Damminda Alahakoon
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Subjects:
Online Access:https://www.mdpi.com/2076-3425/13/9/1253