You'll have to ask your doctor where to get such a suit. All post-stroke walking is loaded.
A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking
- Fausto A. Panizzolo,
- Ignacio Galiana,
- Alan T. Asbeck,
- Christopher Siviy,
- Kai Schmidt,
- Kenneth G. Holt and
- Conor J. WalshEmail author
Journal of NeuroEngineering and Rehabilitation201613:43
DOI: 10.1186/s12984-016-0150-9
© Panizzolo et al. 2016
Received: 11 December 2015
Accepted: 17 April 2016
Published: 12 May 2016
Abstract
Background
Carrying load alters normal
walking, imposes additional stress to the musculoskeletal system, and
results in an increase in energy consumption and a consequent earlier
onset of fatigue. This phenomenon is largely due to increased work
requirements in lower extremity joints, in turn requiring higher muscle
activation. The aim of this work was to assess the biomechanical and
physiological effects of a multi-joint soft exosuit that applies
assistive torques to the biological hip and ankle joints during loaded
walking.
Methods
The exosuit was evaluated under three conditions: powered (EXO_ON), unpowered (EXO_OFF) and unpowered removing the equivalent mass of the device (EXO_OFF_EMR).
Seven participants walked on an instrumented split-belt treadmill and
carried a load equivalent to 30 % their body mass. We assessed their
metabolic cost of walking, kinetics, kinematics, and lower limb muscle
activation using a portable gas analysis system, motion capture system,
and surface electromyography.
Results
Our results showed that the exosuit could deliver controlled forces to a wearer. Net metabolic power in the EXO_ON condition (7.5 ± 0.6 W kg−1) was 7.3 ± 5.0 % and 14.2 ± 6.1 % lower than in the EXO_OFF_EMR condition (7.9 ± 0.8 W kg−1; p = 0.027) and in the EXO_OFF condition (8.5 ± 0.9 W kg−1; p
= 0.005), respectively. The exosuit also reduced the total joint
positive biological work (sum of hip, knee and ankle) when comparing the
EXO_ON condition (1.06 ± 0.16 J kg−1) with respect to the EXO_OFF condition (1.28 ± 0.26 J kg−1; p = 0.020) and to the EXO_OFF_EMR condition (1.22 ± 0.21 J kg−1; p = 0.007).
Conclusions
The results of the present
work demonstrate for the first time that a soft wearable robot can
improve walking economy. These findings pave the way for future
assistive devices that may enhance or restore gait in other
applications.
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