Distinguishing falls from normal ADL using vertical velocity profiles

Author

Bourke, A.K. ; O´Donovan, K.J. ; OLaighin, G.M.

Author_Institution

Intel, Leixlip

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

3176

Lastpage

3179

Abstract

This paper describes a technique for distinguishing falls from activities of daily living (ADL) through vertical velocity thresholding (VVT). To verify that VVT can be used to distinguish falls from ADL and to detect falls prior to impact, simulated fall and ADL testing was carried out on five young healthy subjects. Results show that the VVT method can distinguish falls from ADL with 100% accuracy and with an average lead-time of 323 ms prior to trunk impact and 140 ms prior to knee impact.

Keywords

biomechanics; motion measurement; patient monitoring; ADL testing; activities of daily living; fall detection; knee impact; trunk impact; vertical velocity profile; vertical velocity thresholding; Analytical models; Automotive engineering; Hip; Injuries; Kinematics; Mathematical model; Motion analysis; Protection; Testing; Vehicle dynamics; Accidental Falls; Activities of Daily Living; Adult; Computer Simulation; Diagnosis, Differential; Humans; Image Interpretation, Computer-Assisted; Male; Models, Biological; Monitoring, Ambulatory; Movement; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353004

Filename

4353004