Non-invasive fall risk assessment in community dwelling elderly with wireless inertial measurement units

Thurmon E. Lockhart, Han T. Yeoh, Rahul Soangra, Manutchanok Jongprasithporn, Jian Zhang, Xuefang Wu, Arka Ghosh

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

Abstract

Falls are among the most serious accidents among the elderly leading to increased injuries, reduced functioning and mortality. In 2009, about 2.2 million nonfatal fall injuries were reported among the elderly population (CDC, 2010). In this study, eleven community dwelling elderly (aged 65-84 years) participated in fall risk assessment camp at sterling senior center organized by Northern Virginia Fall Prevention Coalition (NVFPC). Three custom made wireless inertial measurement units (IMUs) were attached on trunk and both shanks. All participants performed postural and locomotor tasks such as sit-to-stand (STS) and timed up and go (TUG). Temporal and kinematic parameters were obtained. Raw signals obtained were denoised using ensemble empirical mode decomposition and savistzky-golay filtering. The mean and standard deviation of TUG time and STS completion time for participants were found to be 11.3±6.6 sec and 3.58±2.07 sec respectively. The high variation in the result may be due to the use of assistive devices (i.e., cane and walker) by two participants. The objective of this study is to classify fall prone community dwelling individuals using non-invasive system. Four participants were classified as fall prone, three without fall risk and four were at potential risk based on their objective assessment and task performance. This system provides a platform for identifying fall prone individuals and may be used for early fall interventions among the elderly.

Original languageEnglish (US)
Title of host publication49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium
Pages439-446
Number of pages8
StatePublished - Aug 20 2012
Externally publishedYes
Event49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium - Blacksburg, VA, United States
Duration: Mar 22 2012Mar 24 2012

Publication series

Name49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium

Other

Other49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium
CountryUnited States
CityBlacksburg, VA
Period3/22/123/24/12

Keywords

  • Community dwelling elderly
  • Ensemble empirical mode decomposition
  • Fall
  • Inertial measurement units
  • Timed up and go

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    Lockhart, T. E., Yeoh, H. T., Soangra, R., Jongprasithporn, M., Zhang, J., Wu, X., & Ghosh, A. (2012). Non-invasive fall risk assessment in community dwelling elderly with wireless inertial measurement units. In 49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium (pp. 439-446). (49th Annual Rocky Mountain Bioengineering Symposium and 49th International ISA Biomedical Sciences Instrumentation Symposium).