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Inertial sensing algorithms for long-term foot angle monitoring for assessment of idiopathic toe-walking

CHALMERS E; 0'KEEFFE J; SUKHDEEP D; WATT J; ANDERSEN J; LOU E
GAIT POSTURE , 2014, vol. 39, n° 1, p. 485-489
Doc n°: 167738
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.gaitpost.2013.08.021
Descripteurs : DE85 - PATHOLOGIE - PIED, DF23 - PATHOLOGIE - MARCHE

When children walk on their toes for no known reason, the condition is called
Idiopathic Toe Walking (ITW). Assessing the true severity of ITW can be difficult
because children can alter their gait while under observation in clinic. The
ability to monitor the foot angle during daily life outside of clinic may improve
the assessment of ITW. A foot-worn, battery-powered inertial sensing device has
been designed to monitor patients' foot angle during daily activities.
The monitor includes a 3-axis accelerometer, 2-axis gyroscope, and a low-power
microcontroller. The device is necessarily small, with limited battery capacity
and processing power. Therefore a high-accuracy but low-complexity inertial
sensing algorithm is needed. This paper compares several low-complexity
algorithms' aptitude for foot-angle measurement: accelerometer-only measurement,
finite impulse response (FIR) and infinite impulse response (IIR) complementary
filtering, and a new dynamic predict-correct style algorithm developed using
fuzzy c-means clustering. A total of 11 subjects each walked 20 m with the
inertial sensing device fixed to one foot; 10 m with normal gait and 10 m
simulating toe walking. A cross-validation scheme was used to obtain a low-bias
estimate of each algorithm's angle measurement accuracy. The new predict-correct
algorithm achieved the lowest angle measurement error: <5 degrees mean error
during normal and toe walking. The IIR complementary filtering algorithm achieved
almost-as good accuracy with less computational complexity. These two algorithms
seem to have good aptitude for the foot-angle measurement problem, and would be
good candidates for use in a long-term monitoring device for toe-walking
assessment.
CI - Copyright (c) 2013 Elsevier B.V. All rights reserved.

Langue : ANGLAIS

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