This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (917) Mobile Health (mhealth) (2777) Portable and Mobile Technologies for Rehabilitation (142) Cognitive and Neurorehabilitation (237) Fitness Trackers and Smart Pedometers/Accelerometers (543) mHealth for Rehabilitation (236)

Published on in Vol 6, No 1 (2018): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8815, first published .
Smartphone App–Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability

Smartphone App–Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability

Smartphone App–Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability

Authors of this article:

Brad Manor1 Author Orcid Image ;   Wanting Yu1 Author Orcid Image ;   Hao Zhu1 Author Orcid Image ;   Rachel Harrison1 Author Orcid Image ;   On-Yee Lo1 Author Orcid Image ;   Lewis Lipsitz1 Author Orcid Image ;   Thomas Travison1 Author Orcid Image ;   Alvaro Pascual-Leone2 Author Orcid Image ;   Junhong Zhou1 Author Orcid Image
Article Authors Cited by (67) Tweetations (5) Metrics

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  1. Kloek C. De dokter en digitalisering. View
  2. Bunker M, Sher A, Akpokodje V, Villagra F, Parthaláin N, Akanyeti O. Advances in Computational Intelligence Systems. View
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