picture: The Ottawa Hospital Rehabilitation Centre (TOHRC) Walk Test App was used to gather information on this analysis. Left: A participant completes a stroll check with a smartphone hooked up to the decrease again. Right: User interface of TOHRC Walk Test App after the stroll check is full.
Credit: Juneau P, et al., 2022, PLOS Digital Health, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
In your protection, please use this URL to supply entry to the freely accessible article in PLOS Digital Health: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000088
Article Title: Automated step detection with 6-minute stroll check smartphone sensors indicators for fall risk classification in decrease limb amputees
Author Countries: Canada, Slovenia
Funding: This analysis was funded by Natural Sciences and Engineering Research Council of Canada (NSERC). NSERC CREATE READI: RGPIN-2019-04106, E. D. L., https://carleton.ca/readi/ NSERC CREATE BEST 482728-2016-CREAT, N. B., http://create-best.com/#focus The funders had no function in research design, information assortment and evaluation, resolution to publish, or preparation of the manuscript.
PLOS Digital Health
Method of Research
Subject of Research
Automated step detection with 6-minute stroll check smartphone sensors indicators for fall risk classificiation in decrease limb amputees
Competing pursuits: The authors have declared that no competing pursuits exist.
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