Effects of unilateral robotic limb loading on gait characteristics in subjects with chronic stroke
Khanna et al. Journal of NeuroEngineering and Rehabilitation 2010, 7:23
http://www.jneuroengrehab.com/content/7/1/23
JNER
JOURNAL OF NEUROENGINEERING
AND REHABILITATION
Open Access
RESEARCH
Effects of unilateral robotic limb loading on gait
characteristics in subjects with chronic stroke
Research
Ira Khanna†1, Anindo Roy*†2,3,4, Mary M Rodgers†1, Hermano I Krebs†2,4,5, Richard M Macko1,3,4,6 and
Larry W Forrester†1,3,4
Abstract
Background: Hemiparesis after stroke often leads to impaired ankle motor control that impacts gait function. In recent
studies, robotic devices have been developed to address this impairment. While capable of imparting forces to assist
during training and gait, these devices add mass to the paretic leg which might encumber patients' gait pattern. The
purpose of this study was to assess the effects of the added mass of one of these robots, the MIT's Anklebot, while
unpowered, on gait of chronic stroke survivors during overground and treadmill walking.
Methods: Nine chronic stroke survivors walked overground and on a treadmill with and without the anklebot
mounted on the paretic leg. Gait parameters, interlimb symmetry, and joint kinematics were collected for the four
conditions. Repeated-measures analysis of variance (ANOVA) tests were conducted to examine for possible differences
across four conditions for the paretic and nonparetic leg.
Results: The added inertia and friction of the unpowered anklebot had no statistically significant effect on spatiotemporal parameters of gait, including paretic and nonparetic step time and stance percentage, in both overground
and treadmill conditions. Noteworthy, interlimb symmetry as characterized by relative stance duration was greater on
the treadmill than overground regardless of loading conditions. The presence of the unpowered robot loading
reduced the nonparetic knee peak flexion on the treadmill and paretic peak dorsiflexion overground (p < 0.05).
Conclusions: Our results suggest that for these subjects the added inertia and friction of this backdriveable robot did
not significantly alter their gait pattern.
Background
Over 795,000 strokes occur in the United States each year
[1]. Of those individuals that survive, approximately twothirds have residual motor deficits, including impaired
gait [1]. Lower extremity hemiparesis has been shown to
reduce walking speed and endurance [2-6] as well as gait
parameters such as step length [4,7] and stance duration
[8]. Studies have shown that impaired swing initiation,
abbreviated paretic single limb support [9,10], decreased
hip flexion, increased knee flexion, and increased ankle
plantarflexion at toe off [8] are all characteristic of hemiparetic gait.
Rehabilitation intervention has demonstrated significant potential for improving motor function and gait
* Correspondence:
2
Department of Mechanical Engineering, Massachusetts Institute of
Technology, Cambridge, Massachusetts, 02139, USA
† Contributed equally
[3,11]. Traditional models of gait rehabilitation often
employ task-oriented exercises such as stepping and
weight shifting [12] as well as manual stretching to
increase range of motion and strength training [13].
Recent studies have shown that practice over a treadmill
can improve cardiovascular fitness and ambulatory performance in individuals with hemiparetic gait [13-16]
including improved interlimb symmetry [15], cadence
and gait velocity [3,14,17,18]. A recent Cochrane Report
has reported that along with treadmill training, there is
evidence to suggest electromechanical gait training may
improve independent walking [19].
The Cochrane Report includes results observed in trials
with two devices, namely the Gait Trainer I and the Lokomat®. More recent studies have focused on robotic devices
for the ankle joint [20] to address the problem of drop
foot that occurs during hemiparetic gait [21]. For this
class of robotic devices, a possible confounding factor
Full list of author information is available at the end of the article
© 2010 Khanna et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited.
Khanna et al. Journal of NeuroEngineering and Rehabilitation 2010, 7:23
http://www.jneuroengrehab.com/content/7/1/23
Page 2 of 8
resulting from wearing the device during walking is the
added mass which might encumber patients' ability to
move, especially their leg during walking. Noble and
Prentice found that adding a 2 kg weight to the non-dominant leg of young adults resulted in increased knee and
hip flexion during the swing phase as well as reduced
plantarflexion at toe off of the weighted limb [22]. Since
individuals with hemiparesis have asymmetric gait, the
addition of asymmetric loading to the paretic limb may
further increase asymmetry and affect gait kinematics.
For example, one study of individuals with post-stroke
hemiparesis showed that adding a unilateral weight to the
nonparetic leg increased hip and knee excursions in the
paretic limb [23].
Here we examined the effects of asymmetric or unilateral loading of the paretic limb during task-oriented gait
therapy. Specifically, we sought to assess the effects of the
added inertia and friction of unpowered ankle robot on
gait parameters, interlimb symmetry, and lower extremity joint kinematics in chronic stroke survivors. We
examined these effects in two common rehabilitation
training scenarios: walking over ground (OG) and treadmill (TM) training. We hypothesized that loading the
paretic limb with the robot would change bilateral joint
kinematics.
ankle joint in all three degrees of freedom (DOFs) but
actuates the ankle in only two of those three DOFs,
namely dorsi/plantarflexion and inversion/eversion (Figure 1). The anklebot weighs 3.6 Kg and has low static friction (<1 N-m). It is mounted proximally to the leg and
anterior to the shank to minimize perception of loading
[25]. It attaches to the subject's paretic limb by way of an
orthopedic knee brace (Townsend Design, Bakersfield,
CA) that is affixed to the thigh and shank by multiple
anterior and posterior Velcro straps, each positioned to
match the natural contour of the distal thigh and proximal shank segments. Pads protect the medial and lateral
condyles, where hinges approximate joint axes of rotation. Orthopedic shoes with steel shank construction
secure the robot's distal attachment via quick-release
mechanisms as well as a single strap over the proximal
metatarsals. The robot connects to the knee brace proximally via a set of quick-release locking clamps. An adjustable shoulder strap that connects to the knee brace
provides additional anti-gravity support during the swing
phase of walking. Design and performance characteristics
of the anklebot have been described elsewhere [20]. (...truncated)