Official Journal of ICAPA
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ORIGINAL RESEARCH
18
Journal of Aging and Physical Activity, 2015, 23, 18-23
http://dx.doi.org/10.1123/JAPA.2012-0328
© 2015 Human Kinetics, Inc.
Monda, Goldberg, and Smitham are with the UCL Institute of Orthopaedics and
Musculoskeletal Science, Royal National Orthopaedic Hospital, Middlesex, UK.
Thornton is with the Royal National Orthopaedic Hospital, Middlesex, UK. McCar-
thy is with the Pedestrian Accessibility and Movement Environment Laboratory,
University College London, London, UK. Address author correspondence to Ian
McCarthy at i.mccarthy@ucl.ac.uk.
Use of Inertial Measurement Units to Assess Age-related Changes
in Gait Kinematics in an Active Population
M. Monda, A. Goldberg, P. Smitham, M. Thornton, and I. McCarthy
To study mobility in older populations it can be advantageous to use portable gait analysis systems, such as inertial measurement units (IMUs),
which can be used in the community. To deine a normal range, 136 active subjects were recruited with an age range of 18 to 97. Four IMUs
were attached to the subjects, one on each thigh and shank. Subjects were asked to walk 10 m at their own self-selected speed. The ranges of
motion of thigh, shank, and knee in both swing and stance phase were calculated, in addition to stride duration. Thigh, shank, and knee range
of movement in swing and stance were signiicantly different only in the > 80 age group. Regressions of angle against age showed a cubic
relationship. Stride duration showed a weak linear relationship with age, increasing by approximately 0.1% per year.
Keywords: healthy aging, gait, inertial measurement units
The ability to walk comfortably is an important aspect of con-
tinuation of independent living during aging. With life expectancy
increasing signiicantly in both the developed world and many parts
of the developing world, maintaining quality of life and mobility
of the older members of the population is becoming increasingly
important. Understanding changes in the locomotor system will
contribute to intervention strategies and appropriate design of the
built environment to facilitate independent living.
The effects of aging on gait have been investigated in a number of
publications. One approach has been to use optoelectronic gait systems
combined with force-plate measurement. This has provided very useful
information on the kinematics and kinetics of gait in three dimensions
on speciic groups of subjects (Boyer, Andriacchi, & Beaupre, 2012;
Kerrigan, Todd, Della, Lipsitz, & Collins, 1998; Kerrigan, Lee, Col-
lins, Riley, & Lipsitz, 2001; Ko, Ling, Winters, & Ferrucci, 2009;
McKibbon and Krebs, 2004; Silder, Heiderscheit, & Thelen, 2008;
Winter, Patla, Frank, & Walt, 1990). Analysis of joint function has
shown that a redistribution of joint torques occurs as people age, with
reduced ankle plantar lexion and ankle power generation in the older
population, and compensatory increases in work at the hip. Findings
on the spatiotemporal characteristics of gait (step length, cadence,
and resultant velocity) are slightly inconsistent, though most papers
suggest that step length decreases and cadence increases with age.
Alternatively, a population-based approach has been used, in
which walking speed is typically measured by stopwatch (Tolea et
al., 2010), a portable walkway (Beauchet et al., 2009), or an acceler-
ometer (Puthoff, Janz, & Neilsen, 2008). Such studies also indicate
that walking speed decreases with age. It has also been shown that
walking speed is related to peak muscle power in the lower limbs
of adults with functional limitations (Puthoff et al., 2008).
However, data on walking speed alone is relatively nonspeciic
with regard to understanding changes in limb kinematics with age,
particularly with regard to pathologies such as hip and knee osteoar-
thritis which increase in prevalence with age. Recent developments
of inertial measurement units (IMUs), based on accelerometers
and gyroscopes, can allow determination of some aspects of gait
kinematics in a portable package that can be used either out in the
community or in a busy outpatient clinic (Cooper et al., 2009). Such
systems also have the potential to measure function while subjects
are walking on more complex terrain in the built environment such
as slopes, cross-slopes, curbs, and uneven surfaces.
To date, no study of lower limb kinematics in the aging
population has been reported using portable IMUs. The aim of this
study was to investigate whether a system of four IMUs attached
to the segments of the lower limbs could provide useful informa-
tion about the kinematics of limb segment movement in gait in an
active population. An initial pilot study was performed comparing
data from the IMUs with those of an optical system. Subsequently,
a more extensive study of participants with a wide age range was
performed using IMUs.
Methods
Pilot Study
Initially, a direct comparison was made between an IMU system
containing three orthogonal gyroscopes and three orthogonal accel-
erometers (GaitSmart, ETB, UK) and an optoelectronic gait system
(Coda Motion, Charnwood Dynamics, UK). Four participants took
part in this (2 male, 2 female; age range 23 to 58 years; BMI 19.5
to 26.9 kg/m
2
). Participants wore shorts and the standard external
marker set was applied for the measurement of gait kinematics.
Four elastic straps with Velcro attachments were applied to each
thigh and shank. Thigh straps were attached to a belt itted around
the waist with a further Velcro strap. They were attached so as to
lie approximately 10 cm above the knee joint/lateral condyle of the
femur. The shanks straps were applied around the widest part of the
calf rather than a set distance from the knee joint. as this varied with
people of different heights with regard to calf musculature. Four
IMUs (Pegasus, ETB, UK) were inserted into pockets in the elastic
straps. The thigh IMUs were then orientated along an imaginary
line from the greater trochanter to the lateral condyle of the femur;
tibia IMUs were orientated along an imaginary line drawn between
the head of the ibula and the lateral malleolus. Participants then
walked along a walkway between two cameras that recorded the