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Multi-site identification and generalization of clusters of walking impairment in individuals with chronic stroke.

Natalia SánchezNicolas SchweighoferSara J MulroyRyan T RoemmichTrisha M KesarGelsy Torres-OviedoBeth E FisherJames M FinleyCarolee Joyce Winstein
Published in: bioRxiv : the preprint server for biology (2023)
Although post-stroke walking patterns are heterogenous, these patterns can be systematically classified into distinct clusters based on spatiotemporal and force data. Future interventions could target the key features that characterize each cluster to increase the efficacy of interventions to improve mobility in people post-stroke.
Keyphrases
  • physical activity
  • atrial fibrillation
  • lower limb
  • current status
  • big data
  • machine learning
  • bioinformatics analysis
  • deep learning
  • drug induced