title: Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry.
abstract: 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.
authors.affiliation: Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. alan.bourke@ul.ie
authors.forename: Alan K
authors.initials: AK
authors.lastname: Bourke
authors.forename: Marc
authors.initials: M
authors.lastname: Torrent
authors.forename: Xavier
authors.initials: X
authors.lastname: Parra
authors.forename: Andreu
authors.initials: A
authors.lastname: Català
authors.forename: John
authors.initials: J
authors.lastname: Nelson
mesh_terms: D000054:Acceleration; D000058:Accidental Falls; D000328:Adult; D000465:Algorithms; D001696:Biomechanical Phenomena; D006801:Humans; D008297:Male; D012016:Reference Values