Do Sensor-Based Interventions Differ from Traditional Physical Therapies in Improving Older Adults’ Balance?

Qian Mao, Lisha Yu, Jiaxin Zhang, Fan Yang, Hailiang Wang (Corresponding Author)

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

Interventions using sensor technologies have the potential to facilitate balance improvement in clinical practice and, to some extent, are recommended as an alternative to traditional physical therapies. However, whether sensor-based technologies differ from traditional physical therapies in improving older adults’ balance remains unclear. Our systematic review identified 25 randomized controlled trials for the meta-analysis. The findings showed that sensor-based interventions performed better than traditional physical therapies in improving balance performance (mean difference =-0.448s, p < 0.001). In subgroup analyses by dividing sensors into three categories (i.e., optical, perception, and wearable sensors), interventions using optical sensors were more effective than traditional physical therapies (mean difference =-0.681s, p < 0.001); while no significant differences were found for the interventions using perception sensors (mean difference =-0.226 s, p =0.106) and wearable sensors (mean difference =-0.490s, p < 0.328) as compared to traditional physical therapies.

Original languageEnglish
Pages (from-to)7-13
Number of pages7
JournalProceedings of the Human Factors and Ergonomics Society
Volume67
Issue number1
DOIs
Publication statusPublished - 21 Oct 2023
Event67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023 - Columbia, United States
Duration: 23 Oct 202327 Oct 2023

Keywords

  • balance
  • meta-analysis
  • older adults
  • sensor-based intervention
  • traditional physical therapies

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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