Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm

Using simulated falls performed under supervised conditions and activities of daily living (ADL) performed by elderly subjects, the ability to discriminate between falls and ADL was investigated using tri-axial accelerometer sensors, mounted on the trunk and thigh. Data analysis was performed using...

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Vydané v:Gait & posture Ročník 26; číslo 2; s. 194 - 199
Hlavní autori: Bourke, A.K., O’Brien, J.V., Lyons, G.M.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Elsevier B.V 01.07.2007
Predmet:
Acceleration
Accelerometer
Accidental Falls - prevention & control
Activities of Daily Living
ADL
Aged
Aged, 80 and over
Biomechanical Phenomena
Fall detection
Falls in the elderly
Female
Humans
Male
Monitoring, Ambulatory - instrumentation
Monitoring, Ambulatory - methods
Movement - physiology
Orthopedics
Resultant-magnitude signal
Sensitivity and Specificity
Accelerometer
ADL
Falls in the elderly
Fall detection
Resultant-magnitude signal
ISSN:0966-6362, 1879-2219
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Shrnutí:Using simulated falls performed under supervised conditions and activities of daily living (ADL) performed by elderly subjects, the ability to discriminate between falls and ADL was investigated using tri-axial accelerometer sensors, mounted on the trunk and thigh. Data analysis was performed using M ATLAB to determine the peak accelerations recorded during eight different types of falls. These included; forward falls, backward falls and lateral falls left and right, performed with legs straight and flexed. Falls detection algorithms were devised using thresholding techniques. Falls could be distinguished from ADL for a total data set from 480 movements. This was accomplished using a single threshold determined by the fall-event data-set, applied to the resultant-magnitude acceleration signal from a tri-axial accelerometer located at the trunk.
Bibliografia:ObjectType-Article-2
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ISSN:0966-6362
1879-2219
DOI:10.1016/j.gaitpost.2006.09.012