Predicting Home and Community Walking Activity Poststroke | Zendy

George Fulk | Zendy; Ying He | Zendy; Pierce Boyne | Zendy; Kari Dunning | Zendy

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Predicting Home and Community Walking Activity Poststroke

Author(s) -

George Fulk,

Ying He,

Pierce Boyne,

Kari Dunning

Publication year - 2017

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.116.015309

Subject(s) - receiver operating characteristic , gait , physical medicine and rehabilitation , medicine , berg balance scale , preferred walking speed , stroke (engine) , balance (ability) , cutoff , physical therapy , multivariate analysis , mechanical engineering , physics , quantum mechanics , engineering

Walking ability poststroke is commonly assessed using gait speed categories developed by Perry et al. The purpose of this study was to reexamine factors that predict home and community ambulators determined from real-world walking activity data using activity monitors.

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