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Local dynamic stability assessment of motion impaired elderly using electronic textile pants

Jian Liu, Thurmon E Lockhart, Mark Jones and Tom Martin (2008) IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING. 5(4). p.696-702
abstract
A clear association has been demonstrated between gait stability and falls in the elderly. Integration of wearable computing and human dynamic stability measures into home automation systems may help differentiate fall-prone individuals in a residential environment. The objective of the current study was to evaluate the capability of a pair of electronic textile (e-textile) pants system to assess local dynamic stability and to differentiate motion-impaired elderly from their healthy counterparts. A pair of e-textile pants comprised of numerous e-TAGs at locations corresponding to lower extremity joints was developed to collect acceleration, angular velocity and piezoelectric data. Four motion-impaired elderly together with nine healthy individuals (both young and old) participated in treadmill walking with a motion capture system simultaneously collecting kinematic data. Local dynamic stability, characterized by maximum Lyapunov exponent, was computed based on vertical acceleration and angular velocity at lower extremity joints for the measurements from both e-textile and motion capture systems. Results indicated that the motion-impaired elderly had significantly higher maximum Lyapunov exponents (computed from vertical acceleration data) than healthy individuals at the right ankle and hip joints. In addition, maximum Lyapunov exponents assessed by the motion capture system were found to be significantly higher than those assessed by the e-textile system. Despite the difference between these measurement techniques, attaching accelerometers at the ankle and hip joints was shown to be an effective sensor configuration. It was concluded that the e-textile pants system, via dynamic stability assessment, has the potential to identify motion-impaired elderly.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
local dynamic stability, wearable computing, slips and falls, E-textile, SPEED, MOBILITY, VARIABILITY, GAIT, WALKING, ACCELEROMETERS, TIME-SERIES
journal title
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
IEEE Trans. Autom. Sci. Eng.
volume
5
issue
4
pages
696 - 702
Web of Science type
Article
Web of Science id
000260222200011
JCR category
AUTOMATION & CONTROL SYSTEMS
JCR impact factor
1.929 (2008)
JCR rank
16/53 (2008)
JCR quartile
2 (2008)
ISSN
1545-5955
DOI
10.1109/TASE.2008.923821
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1207136
handle
http://hdl.handle.net/1854/LU-1207136
date created
2011-04-11 22:33:41
date last changed
2016-12-19 15:45:16
@article{1207136,
  abstract     = {A clear association has been demonstrated between gait stability and falls in the elderly. Integration of wearable computing and human dynamic stability measures into home automation systems may help differentiate fall-prone individuals in a residential environment. The objective of the current study was to evaluate the capability of a pair of electronic textile (e-textile) pants system to assess local dynamic stability and to differentiate motion-impaired elderly from their healthy counterparts. A pair of e-textile pants comprised of numerous e-TAGs at locations corresponding to lower extremity joints was developed to collect acceleration, angular velocity and piezoelectric data. Four motion-impaired elderly together with nine healthy individuals (both young and old) participated in treadmill walking with a motion capture system simultaneously collecting kinematic data. Local dynamic stability, characterized by maximum Lyapunov exponent, was computed based on vertical acceleration and angular velocity at lower extremity joints for the measurements from both e-textile and motion capture systems. Results indicated that the motion-impaired elderly had significantly higher maximum Lyapunov exponents (computed from vertical acceleration data) than healthy individuals at the right ankle and hip joints. In addition, maximum Lyapunov exponents assessed by the motion capture system were found to be significantly higher than those assessed by the e-textile system. Despite the difference between these measurement techniques, attaching accelerometers at the ankle and hip joints was shown to be an effective sensor configuration. It was concluded that the e-textile pants system, via dynamic stability assessment, has the potential to identify motion-impaired elderly.},
  author       = {Liu, Jian and Lockhart, Thurmon E and Jones, Mark and Martin, Tom},
  issn         = {1545-5955},
  journal      = {IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING},
  keyword      = {local dynamic stability,wearable computing,slips and falls,E-textile,SPEED,MOBILITY,VARIABILITY,GAIT,WALKING,ACCELEROMETERS,TIME-SERIES},
  language     = {eng},
  number       = {4},
  pages        = {696--702},
  title        = {Local dynamic stability assessment of motion impaired elderly using electronic textile pants},
  url          = {http://dx.doi.org/10.1109/TASE.2008.923821},
  volume       = {5},
  year         = {2008},
}

Chicago
Liu, Jian, Thurmon E Lockhart, Mark Jones, and Tom Martin. 2008. “Local Dynamic Stability Assessment of Motion Impaired Elderly Using Electronic Textile Pants.” Ieee Transactions on Automation Science and Engineering 5 (4): 696–702.
APA
Liu, Jian, Lockhart, T. E., Jones, M., & Martin, T. (2008). Local dynamic stability assessment of motion impaired elderly using electronic textile pants. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 5(4), 696–702.
Vancouver
1.
Liu J, Lockhart TE, Jones M, Martin T. Local dynamic stability assessment of motion impaired elderly using electronic textile pants. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING. 2008;5(4):696–702.
MLA
Liu, Jian, Thurmon E Lockhart, Mark Jones, et al. “Local Dynamic Stability Assessment of Motion Impaired Elderly Using Electronic Textile Pants.” IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 5.4 (2008): 696–702. Print.