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

mHealth for Data Collection and Research (703) Mobile Health (mhealth) (2022) Portable and Mobile Technologies for Rehabilitation (125) Cognitive and Neurorehabilitation (204) Fitness Trackers and Smart Pedometers/Accelerometers (502) mHealth for Rehabilitation (179)

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 Manor 1 Author Orcid Image ;   Wanting Yu 1 Author Orcid Image ;   Hao Zhu 1 Author Orcid Image ;   Rachel Harrison 1 Author Orcid Image ;   On-Yee Lo 1 Author Orcid Image ;   Lewis Lipsitz 1 Author Orcid Image ;   Thomas Travison 1 Author Orcid Image ;   Alvaro Pascual-Leone 2 Author Orcid Image ;   Junhong Zhou 1 Author Orcid Image
Article Authors Cited by (52) Tweetations (6) Metrics

Brad Manor   1 , PhD ;   Wanting Yu   1 , MEng ;   Hao Zhu   1 , MSc ;   Rachel Harrison   1 , BS ;   On-Yee Lo   1 , PhD ;   Lewis Lipsitz   1 , MD ;   Thomas Travison   1 , PhD ;   Alvaro Pascual-Leone   2 , MD, PhD ;   Junhong Zhou   1 , PhD

1 Hebrew SeniorLife Institute for Aging Research, Harvard Medical School, Roslindale, MA, US

2 Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Interventional Cognitive Neurology, Beth Israel Deaconess Medical Center, Boston, MA, US

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