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

Alan K. Bourke; Marc Torrent; Xavier Parra; Andreu Català; John Nelson

doi:10.1109/IEMBS.2011.6091103

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

Alan K. Bourke, Marc Torrent, Xavier Parra, Andreu Català, John Nelson

Department of Electronics & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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, _max: max-angle, t _max : 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.

Original language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	4449-4452
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6091103
Publication status	Published - 2011
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sep 2011

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	30/08/11 → 3/09/11

Access to Document

10.1109/IEMBS.2011.6091103

Cite this

Bourke, A. K., Torrent, M., Parra, X., Català, A., & Nelson, J. (2011). Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 4449-4452). Article 6091103 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091103

Bourke, Alan K. ; Torrent, Marc ; Parra, Xavier et al. / Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 4449-4452 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{565b60d1d5ff4d1288c969a7c72a6fdb,

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, max: max-angle, t max : 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.",

author = "Bourke, {Alan K.} and Marc Torrent and Xavier Parra and Andreu Catal{\`a} and John Nelson",

year = "2011",

doi = "10.1109/IEMBS.2011.6091103",

language = "English",

isbn = "9781424441211",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

pages = "4449--4452",

booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

note = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

}

Bourke, AK, Torrent, M, Parra, X, Català, A & Nelson, J 2011, Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6091103, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 4449-4452, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6091103

Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry. / Bourke, Alan K.; Torrent, Marc; Parra, Xavier et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 4449-4452 6091103 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry

AU - Bourke, Alan K.

AU - Torrent, Marc

AU - Parra, Xavier

AU - Català, Andreu

AU - Nelson, John

PY - 2011

Y1 - 2011

N2 - 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, max: max-angle, t max : 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.

AB - 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, max: max-angle, t max : 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.

UR - http://www.scopus.com/inward/record.url?scp=84863572093&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6091103

DO - 10.1109/IEMBS.2011.6091103

M3 - Conference contribution

C2 - 22255326

AN - SCOPUS:84863572093

SN - 9781424441211

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 4449

EP - 4452

BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

Y2 - 30 August 2011 through 3 September 2011

ER -

Bourke AK, Torrent M, Parra X, Català A, Nelson J. Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 4449-4452. 6091103. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6091103

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

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this