Adjustments in gait symmetry with walking speed in trans-femoral and trans-tibial amputees

Nolan, Lee; Wit, Andrzej; Dudziński, Krzysztof; Lees, Adrian; Lake, Mark; Wychowański, Michał

doi:10.1016/s0966-6362(02)00066-8

Cited by 359 publications

(408 citation statements)

References 16 publications

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“…An asymmetry in stance time between the amputated and the contralateral leg has been shown in several studies [21,28]. The shortened stance time on the amputated leg (3.93 ± 9.74%) could be found for all MPKs in this study.…”

Section: Discussionsupporting

confidence: 76%

Designs and performance of microprocessor-controlled knee joints

Thiele

Westebbe

Bellmann

et al. 2014

Biomedizinische Technik/Biomedical Engineering

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Abstract:In this comparative study, three transfemoral amputee subjects were fitted with four different microprocessor-controlled exoprosthetic knee joints (MPK): C-Leg, Orion, Plié2.0, and Rel-K. In a motion analysis laboratory, objective gait measures were acquired during level walking at different velocities. Subsequent technical analyses, which involved X-ray computed tomography, identified the functional mechanisms of each device and enabled corroboration of the performance in the gait laboratory by the engineering design of the MPK. Gait measures showed that the mean increase of the maximum knee flexion angle at different walking velocities was closest in value to the unaffected contralateral knee (6.2°/m/s) with C-Leg (3.5°/m/s; Rel-K 17.0°/m/s, Orion 18.3°/m/s, and Plié2.0 28.1°/m/s). Technical analyses corroborated that only with Plié2.0 the flexion resistances were not regulated by microprocessor control at different walking velocities. The muscular effort for the initiation of the swing phase, measured by the minimum hip moment, was found to be lowest with C-Leg . Reaching the extension stop at the end of swing phase was reliably executed with both Plié2.0 and C-Leg. Abrupt terminal stance phase extension observed with Plié2.0 and Rel-K could be attributed to the absence of microprocessor control of extension resistance.

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Section: Discussionsupporting

confidence: 76%

Designs and performance of microprocessor-controlled knee joints

Thiele

Westebbe

Bellmann

et al. 2014

Biomedizinische Technik/Biomedical Engineering

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“…Sensory feedback from the lower limbs is integral to maintaining upright gait [3][4], as well as executing complex tasks such as navigating around obstacles [5]. Reduced sensory input is at least partially responsible for the balance and mobility impairments recognized in the amputee population, including abnormal and less efficient gait kinematics [6][7][8] and increased risk of loss of balance resulting in falls [4]. Therefore, mitigating these impairments and enabling an acceptable level of functional mobility for individuals with LLA is a primary goal in prosthetic rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Effects of cognitive load and prosthetic liner on volitional response times to vibrotactile feedback

Sharma¹,

Leineweber²,

Andrysek³

2016

J Rehabil Res Dev

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Abstract-Artificial tactile feedback systems can improve prosthetic function for people with amputation by substituting for lost proprioception in the missing limb. However, limited data exists to guide the design and application of these systems for mobility and balance scenarios. The purpose of this study was to evaluate the performance of a noninvasive artificial sensory feedback (ASF) system on lower-limb function in the presence of a cognitive load and a liner interface. Reaction times (RTs) and accuracy of leg-movement responses to vibratory stimuli at the thigh were recorded for 12 nondisabled individuals and 3 participants with transfemoral amputation using a custom-built testing apparatus. The results indicate that the addition of a cognitive load increases response times relative to the baseline condition by 0.26 to 0.33 s. The prosthetic liner produced a less pronounced increase in RT of 0.06 to 0.11 s. Participants were able to correctly identify the stimulus location with nearly 100% accuracy. These increased RTs are nontrivial and must be considered in designing ASF systems.

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“…The non-paretic (stronger) limb may be exposed to higher vertical forces [12] which can in turn lead to joint pains due to increased repetitive loading [13], bone degeneration [14], and increased risk of fractures. Hemiparetic gait is also directly linked to an increased risk of falling observed after stroke, doubling the risk of hip fracture [15].…”

Section: Post Stroke Gait Impairmentsmentioning

confidence: 99%

Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology

Georgiou

Holland

Linden

et al. 2016

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Classifying stroke survivors based on their walking abilities is an important part of the gait rehabilitation process. It can act as powerful indicator of function and prognosis in both the early days after a stroke and long after a survivor receives rehabilitation. This classification often relies solely on walking speed; a quick and easy measure, with only a stopwatch needed. However, walking speed may not be the most accurate way of judging individual's walking ability. Advances in technology mean we are now in a position where ubiquitous and wearable technologies can be used to elicit much richer measures to characterise gait. In this paper we present a case study from one of our studies, where within a homogenous group of stroke survivors (based on walking speed classification) important differences in individual results and the way they responded to rhythmic haptic cueing were identified during the piloting of a novel gait rehabilitation technique.

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Adjustments in gait symmetry with walking speed in trans-femoral and trans-tibial amputees

Cited by 359 publications

References 16 publications

Designs and performance of microprocessor-controlled knee joints

Designs and performance of microprocessor-controlled knee joints

Effects of cognitive load and prosthetic liner on volitional response times to vibrotactile feedback

Questioning Classic Patient Classification Techniques in Gait Rehabilitation: Insights from Wearable Haptic Technology

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