2014
DOI: 10.1007/978-94-017-8932-5_5
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Mimicking Human-Like Leg Function in Prosthetic Limbs

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Cited by 78 publications
(54 citation statements)
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References 135 publications
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“…To extend the concept to walking it is necessary to disable the anti-gravity control during swing phase. First tests used the shank angle and a fixed timing based on a knee extensor moment from literature (Grimmer and Seyfarth, 2014 ), to enable and disable the anti-gravity control during gait. It is planned to further generalize this concept by using a phase plane controller of the shank (Holgate et al, 2009 ) or a virtual leg (Villarreal and Gregg, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
“…To extend the concept to walking it is necessary to disable the anti-gravity control during swing phase. First tests used the shank angle and a fixed timing based on a knee extensor moment from literature (Grimmer and Seyfarth, 2014 ), to enable and disable the anti-gravity control during gait. It is planned to further generalize this concept by using a phase plane controller of the shank (Holgate et al, 2009 ) or a virtual leg (Villarreal and Gregg, 2014 ).…”
Section: Discussionmentioning
confidence: 99%
“…With the objective to compare the push-off power of three different kinds of prosthetic ankle-foot units (SACH, ESAR, and PWR) it was demonstrated that their push-off power performance progresses differently at different walking speeds. In able-bodied individuals positive peak ankle push-off power increases with walking speed [21]. To mimic human gait, PWR ankle-foot units adjust push-off power based on walking speed, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…In healthy non-amputee subjects, the level of ankle push-off power increases with walking speed [21]. Similar to non-amputee control subjects, unilateral lower-limb amputees exhibit increased push-off ankle power with increasing walking speed [2224].…”
Section: Introductionmentioning
confidence: 99%
“…Despite our understanding of how muscle function can vary with mechanical demand and anatomical 60 location, there is yet to be a quantitative approach capable of comparing the function of different 61 muscles and how function varies across locomotor demands. Addressing these limitations can assist in 62 tuning the design and control strategies of physiological-inspired robotics and assistive devices that can 63 mimic the diversity of human movement (Grimmer and Seyfarth, 2014). A promising index-based 64 approach was introduced by Qiao and Jindrich (2016) that characterised joint function during 65 locomotion.…”
Section: Introduction 43mentioning
confidence: 99%