2018
DOI: 10.1186/s12984-018-0379-6
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Biomechanics and energetics of walking in powered ankle exoskeletons using myoelectric control versus mechanically intrinsic control

Abstract: BackgroundControllers for assistive robotic devices can be divided into two main categories: controllers using neural signals and controllers using mechanically intrinsic signals. Both approaches are prevalent in research devices, but a direct comparison between the two could provide insight into their relative advantages and disadvantages. We studied subjects walking with robotic ankle exoskeletons using two different control modes: dynamic gain proportional myoelectric control based on soleus muscle activity… Show more

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Cited by 44 publications
(61 citation statements)
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“…In some studies, after a period of adaptation, the powered assistance provided at the push-off did not have any effect on the activity of more proximal muscles [14,15,17,59]. As opposed to this, other studies found that the assistance provided at the push-off phase was reducing the activity of some muscles at the hip joint [2,11,22,23]. In this study, no significant effects were found at the left REC at the end of the walking trials (Additional file 4 and Additional file 5).…”
Section: Discussionmentioning
confidence: 93%
See 1 more Smart Citation
“…In some studies, after a period of adaptation, the powered assistance provided at the push-off did not have any effect on the activity of more proximal muscles [14,15,17,59]. As opposed to this, other studies found that the assistance provided at the push-off phase was reducing the activity of some muscles at the hip joint [2,11,22,23]. In this study, no significant effects were found at the left REC at the end of the walking trials (Additional file 4 and Additional file 5).…”
Section: Discussionmentioning
confidence: 93%
“…Powered ankle-foot orthoses (PAFOs) are robotic devices meant to assist the ankle joint of their users. Recently, several PAFOs have been developed and tested to investigate their potential in reducing the biological effort of healthy users during assisted walking as compared to unassisted or normal walking [1][2][3][4][5], but also to evaluate their performance when used as assistive or rehabilitation devices with weakened users such as the elderly [6,7] and impaired subjects [8][9][10]. In these studies, PAFOs where shown to be able to reduce the metabolic cost of walking of healthy users as compared to the unassisted configuration [1,5,11], and in some cases also as compared to walking without the device [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…This strategy directly modulates exoskeleton torque based on the timing and magnitude of a targeted muscle's activity, which can adapt the device to the users changing biomechanics. However, this strategy has yielded mixed results [42,79,80] and is challenging to effectively use due to quick adaptations that occur to accommodate various tasks as well as slower changes that occur due to learning the device [41]. Scientists have made exciting advances using machine learning and artificial intelligence techniques to fuse information from both sensors on the user and device to better merge the user and exoskeleton [81,82], but these techniques have not yet been commercially translated to exoskeleton technology to the authors' knowledge.…”
Section: Providing Comfort At the Human-exoskeleton Interfacementioning
confidence: 99%
“…The easiest approach is to manually drive the assistance, using extra joysticks or buttons (e.g., Muscle Suit [11] for back-support). However, the two most prevalent approaches in research and commercial devices are: controllers using mechanically intrinsic signals and controllers using neural signals (e.g., brain activity or muscle activity) [12].…”
Section: Introductionmentioning
confidence: 99%
“…Control driven by mechanically intrinsic signals relies on measures that are intrinsic to the device itself (e.g., gait events, joint angles or forces, segments movements) [12]. For back-support exoskeleton, trunk or legs movements can be registered thanks to Inertial Measurement Units (IMUs) or encoders embedded in the exoskeleton structure.…”
Section: Introductionmentioning
confidence: 99%