Mobile Fall Risk Assessment Solution for Daily-Life Settings

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

2 Citations (Scopus)

Abstract

Prevention of falls requires accurate means for fall risk assessment in order to identify persons at risk. This paper introduces a novel mobile fall risk assessment solution for daily-life settings. The solution contains an Android application that uses acceleration sensor data received via Bluetooth LE connection. The application guides through a simple walk test, analyzes the acceleration data measured from the acceleration sensor attached to the lower back and gives feedback about the fall risk for the user. Preliminary user tests with 12 healthy subjects were conducted to evaluate the feasibility of the solution. Each test subject performed three walks demonstrating normal, dragging and slow gait. The results showed that the acceleration features calculated by the application distinguish normal gait from dragging and slow gaits. Further collection of comprehensive data set with older adults is needed to adjust the application parameters appropriately for the target group.
Original languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Pages1530-1533
Number of pages4
ISBN (Electronic)978-1-5386-3646-6, 978-1-5386-3645-9
DOIs
Publication statusPublished - 29 Oct 2018
MoE publication typeNot Eligible
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

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

  • acceleration
  • risk management
  • support vector machines
  • accelerometers
  • medical services
  • standards
  • mathematical model

Fingerprint Dive into the research topics of 'Mobile Fall Risk Assessment Solution for Daily-Life Settings'. Together they form a unique fingerprint.

Cite this