image: The Ottawa Hospital Rehabilitation Centre (TOHRC) Walk Test App was used to collect data in this research. Left: A participant completes a walk test with a smartphone attached to the lower back. Right: User interface of TOHRC Walk Test App after the walk test is complete. view more
Credit: Juneau P, et al., 2022, PLOS Digital Health, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
In your coverage, please use this URL to provide access to the freely available 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 walk test smartphone sensors signals for fall risk classification in lower limb amputees
Author Countries: Canada, Slovenia
Funding: This research 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 role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Journal
PLOS Digital Health
Method of Research
Observational study
Subject of Research
People
Article Title
Automated step detection with 6-minute walk test smartphone sensors signals for fall risk classificiation in lower limb amputees
COI Statement
Competing interests: The authors have declared that no competing interests exist.