Fall risks assessment and fall prediction among community dwelling elderly using wearable wireless sensors

Xuefang Wu, Han Teik Yeoh, Thurmon Lockhart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This study examines the predictive ability of fall risks among community dwelling elderly using wearable wireless sensors. Forty-eight community-dwelling elderly (17 non-fallers and 31 fallers) participated in the study. Timed up and go test, sit-to-stand test and ten-meter walking test were carried out. Activitiesspecific Balance Confidence (ABC) Scale was also obtained. The results showed fairly good predictive ability of fall risks among older adults, with stance time, walking velocity and timed up and go time being promising of indicating fall risks. Further investigation is warranted to better understand the signals from the wearable sensors and justify the model. Larger sample size is also warranted to validate the model.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society Annual Meeting, HFES 2013
Pages109-113
Number of pages5
DOIs
StatePublished - Dec 13 2013
Externally publishedYes
Event57th Human Factors and Ergonomics Society Annual Meeting - 2013, HFES 2013 - San Diego, CA, United States
Duration: Sep 30 2013Oct 4 2013

Publication series

NameProceedings of the Human Factors and Ergonomics Society
ISSN (Print)1071-1813

Other

Other57th Human Factors and Ergonomics Society Annual Meeting - 2013, HFES 2013
CountryUnited States
CitySan Diego, CA
Period9/30/1310/4/13

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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  • Cite this

    Wu, X., Yeoh, H. T., & Lockhart, T. (2013). Fall risks assessment and fall prediction among community dwelling elderly using wearable wireless sensors. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, HFES 2013 (pp. 109-113). (Proceedings of the Human Factors and Ergonomics Society). https://doi.org/10.1177/1541931213571026