Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry

This study aims to determine the optimal temporal, angular and acceleration parameters and thresholds for an accelerometer based, chest-worn, fall detection algorithm. In total, 10 healthy male subjects performed 14 different fall types, 3 times by each. The falls were performed onto in a quasi-real...

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Bibliographic Details
Main Authors: Bourke, A. K., Torrent, M., Parra, X., Catala, A., Nelson, J.
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Accelerometers
Digital filters
IIR filters
Low pass filters
Monitoring
Vectors
Citations: Items that cite this one
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Summary:This study aims to determine the optimal temporal, angular and acceleration parameters and thresholds for an accelerometer based, chest-worn, fall detection algorithm. In total, 10 healthy male subjects performed 14 different fall types, 3 times by each. The falls were performed onto in a quasi-realistic environment consisting of mats of a minimum thickness. Optimum parameters for; t falling : time-to-fall, θ max : max-angle, t θmax : max-angle-time, t RTStanding : Return-to-standing-time and t lying : lying-time were determined using a data set consisting of a total of 420 falls.
ISSN:1094-687X
1558-4615
2694-0604
DOI:10.1109/IEMBS.2011.6091103