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research article

A Novel Approach to Reducing Number of Sensing Units for Wearable Gait Analysis Systems

Salarian, Arash  
•
burkard, PR
•
Vingerhoets, F.
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2013
IEEE Transactions on Biomedical Engineering Bme

Gait analysis methods to estimate spatiotemporal measures, based on two, three or four gyroscopes attached on lower limbs have been discussed in the literature. The most common approach to reduce the number of sensing units is to simplify the underlying biomechanical gait model. In this study, we propose a novel method based on prediction of movements of thighs from movements of shanks. Datasets from three previous studies were used. Data from the first study (ten healthy subjects and ten with Parkinson's disease) were used to develop and calibrate a system with only two gyroscopes attached on shanks. Data from two other studies (36 subjects with hip replacement, seven subjects with coxarthrosis, and eight control subjects) were used for comparison with the other methods and for assessment of error compared to a motion capture system. Results show that the error of estimation of stride length compared to motion capture with the system with four gyroscopes and our new method based on two gyroscopes was close (-0.8 +/- 6.6 versus 3.8 +/- 6.6 cm). An alternativewith three sensing units did not show better results (error: -0.2 +/- 8.4 cm). Finally, a fourth that also used two units but with a simpler gait model had the highest bias compared to the reference (error: -25.6 +/- 7.6 cm). We concluded that it is feasible to estimate movements of thighs from movements of shanks to reduce number of needed sensing units from 4 to 2 in context of ambulatory gait analysis.

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Type
research article
DOI
10.1109/Tbme.2012.2223465
Web of Science ID

WOS:000312897600010

Author(s)
Salarian, Arash  
burkard, PR
Vingerhoets, F.
Jolles-Haeberli, Brigitte  
Aminian, Kamiar  
Date Issued

2013

Publisher

Institute of Electrical and Electronics Engineers

Published in
IEEE Transactions on Biomedical Engineering Bme
Volume

60

Issue

1

Start page

72

End page

76

Subjects

Gait analysis

•

inertial systems

•

objective assessment

•

wearable sensors

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMAM  
Available on Infoscience
September 9, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/85308
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