Staff View: Fall-risk classification of the timed up-and-go test with principle component analysis

Fall-risk classification of the timed up-and-go test with principle component analysis

This study aimed to show that important fall risk measures among the elderly can be classified using multiple parameters obtained from wearable inertial sensors. The timed up-and-go (TUG) test, a well-known standard assessment test, was used to evaluate the risk of falling among elderly individuals....

Full description

Saved in:

Bibliographic Details
Main Authors:	Tanaka, Noriko, Zakaria, Nor Aini, Kibinge, Nelson Kipchirchir, Kanaya, Shigehiko, Tamura, Toshiyo, Yoshida, Masaki
Format:	Article
Published:	Hilaris Publishing 2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/59754/ https://www.hilarispublisher.com/abstract/fallrisk-classification-of-the-timed-upandgo-test-with-principle-component-analysis-42147.html
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.59754
record_format	eprints
spelling	my.utm.597542022-04-26T14:14:00Z http://eprints.utm.my/id/eprint/59754/ Fall-risk classification of the timed up-and-go test with principle component analysis Tanaka, Noriko Zakaria, Nor Aini Kibinge, Nelson Kipchirchir Kanaya, Shigehiko Tamura, Toshiyo Yoshida, Masaki TK Electrical engineering. Electronics Nuclear engineering This study aimed to show that important fall risk measures among the elderly can be classified using multiple parameters obtained from wearable inertial sensors. The timed up-and-go (TUG) test, a well-known standard assessment test, was used to evaluate the risk of falling among elderly individuals. The use of wearable inertial sensors enables extraction of triaxial acceleration and angular velocity signals for offline analysis. Thirty-eight elderly patients from Fujimoto Hayasuzu Hospital participated in this study. Specific results were provided from the signals obtained from acceleration and angular velocity, and analysis was carried out in each phase of various activities, such as sit-to-stand, walking, etc. Seventy-eight parameters were obtained from the extracted acceleration and angular velocity signals in all phases to classify the risk of falling among the elderly. Using principle component analysis, the most important measures were selected from the gathered parameters. The most influential measure in differentiating subjects with high and low fall risks was the turning angular velocity signal. Hilaris Publishing 2014 Article PeerReviewed Tanaka, Noriko and Zakaria, Nor Aini and Kibinge, Nelson Kipchirchir and Kanaya, Shigehiko and Tamura, Toshiyo and Yoshida, Masaki (2014) Fall-risk classification of the timed up-and-go test with principle component analysis. International Journal of Neurorehabilitation, 1 (1). pp. 1-7. ISSN 2376-0281 https://www.hilarispublisher.com/abstract/fallrisk-classification-of-the-timed-upandgo-test-with-principle-component-analysis-42147.html
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Tanaka, Noriko Zakaria, Nor Aini Kibinge, Nelson Kipchirchir Kanaya, Shigehiko Tamura, Toshiyo Yoshida, Masaki Fall-risk classification of the timed up-and-go test with principle component analysis
description	This study aimed to show that important fall risk measures among the elderly can be classified using multiple parameters obtained from wearable inertial sensors. The timed up-and-go (TUG) test, a well-known standard assessment test, was used to evaluate the risk of falling among elderly individuals. The use of wearable inertial sensors enables extraction of triaxial acceleration and angular velocity signals for offline analysis. Thirty-eight elderly patients from Fujimoto Hayasuzu Hospital participated in this study. Specific results were provided from the signals obtained from acceleration and angular velocity, and analysis was carried out in each phase of various activities, such as sit-to-stand, walking, etc. Seventy-eight parameters were obtained from the extracted acceleration and angular velocity signals in all phases to classify the risk of falling among the elderly. Using principle component analysis, the most important measures were selected from the gathered parameters. The most influential measure in differentiating subjects with high and low fall risks was the turning angular velocity signal.
format	Article
author	Tanaka, Noriko Zakaria, Nor Aini Kibinge, Nelson Kipchirchir Kanaya, Shigehiko Tamura, Toshiyo Yoshida, Masaki
author_facet	Tanaka, Noriko Zakaria, Nor Aini Kibinge, Nelson Kipchirchir Kanaya, Shigehiko Tamura, Toshiyo Yoshida, Masaki
author_sort	Tanaka, Noriko
title	Fall-risk classification of the timed up-and-go test with principle component analysis
title_short	Fall-risk classification of the timed up-and-go test with principle component analysis
title_full	Fall-risk classification of the timed up-and-go test with principle component analysis
title_fullStr	Fall-risk classification of the timed up-and-go test with principle component analysis
title_full_unstemmed	Fall-risk classification of the timed up-and-go test with principle component analysis
title_sort	fall-risk classification of the timed up-and-go test with principle component analysis
publisher	Hilaris Publishing
publishDate	2014
url	http://eprints.utm.my/id/eprint/59754/ https://www.hilarispublisher.com/abstract/fallrisk-classification-of-the-timed-upandgo-test-with-principle-component-analysis-42147.html
_version_	1732945377302151168
score	13.211869

Fall-risk classification of the timed up-and-go test with principle component analysis

Similar Items