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...
| Published in: | Brain Sciences |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3425/13/9/1253 |
