Assessing fall risk of older adults using accelerometry-based methods:Dissertation

Doctoral thesis English OPEN
Similä, Heidi;
(2017)
  • Publisher: VTT Technical Research Centre of Finland
  • Subject: balance | wearable sensors | machine learning | gait analysis | /fi/minedu/virta/publicationtypes/g5 | G5 Anthology dissertation | /fi/minedu/virta/openaccess/1 | 1 Open Access | /fi/minedu/virta/scienceareas/213 | 213 Electronics, automation, information engineering | /fi/minedu/virta/scienceareas/113 | 113 Computer and information sciences | /fi/minedu/virta/scienceareas/217 | 217 Medical engineering | /fi/minedu/virta/scienceareas/3142 | 3142 Public and environmental health

Falls pose a serious threat to older people, since they may lead to severe injuries, reduced quality of life and increased health care costs. Every third person over 65 years old falls at least once each year, and the number of falls increases with age and frailty level... View more
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