Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Falls are an unfortunate problem for older adults, their relatives and societies. Continuous gait monitoring for fall risk assessment during daily lives would allow early interventions to prevent injurious falls. Continuous gait monitoring is possible using technological solutions such as inertial sensors; for example accelerometers. Current solutions require attaching the sensor to a certain location on the body and many of them to the lower back, which is not convenient for the user. The objective of this study was to find out whether gait variables calculated from the acceleration signal measured during walk from two different locations on waist area differ from each other. Forty two older adult subjects were measured during walk test with a triaxial acceleration sensor worn on an elastic belt at the lower back and frontal hip area. Most of the analyzed gait features from the two locations have a strong correlation, indicating that these features are not sensitive to sensor location around waist level. A subsequent study is needed to confirm other locations for the sensors to allow analyzing gait during everyday lives.
Original languageEnglish
Title of host publication2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages2076-2079
Number of pages4
ISBN (Electronic)978-1-5386-3646-6
ISBN (Print)978-1-5386-3647-3
DOIs
Publication statusPublished - 29 Oct 2018
MoE publication typeA4 Article in a conference publication
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 17 Jul 201821 Jul 2018
Conference number: 40

Publication series

SeriesAnnual International Conference of the IEEE Engineering in Medicine and Biology
Volume40
ISSN1557-170X

Conference

Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Abbreviated titleEMBC 2018
CountryUnited States
CityHonolulu
Period17/07/1821/07/18

Keywords

  • hip
  • acceleration
  • support vector machines
  • standards
  • risk management
  • correlation
  • accelerometers
  • biomedical measurement
  • geriatirics
  • mechanoception

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  • Cite this

    Immonen, M., & Similä, H. (2018). Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2076-2079). [8512713] IEEE Institute of Electrical and Electronic Engineers. Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol.. 40 https://doi.org/10.1109/EMBC.2018.8512713