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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 (-82.1±14.1 Nm; Rel-K -83.59±17.8 Nm, Orion -88.0±16.3 Nm, and Plié2.0 -91.6±16.5 Nm). 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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http://dx.doi.org/10.1515/bmt-2013-0069 | DOI Listing |
Can Prosthet Orthot J
August 2025
Department of Rehabilitation Science and Technology, University of Pittsburgh, USA.
Background: Increasing balance and stability, along with efficient locomotion, is a high-priority goal of physical rehabilitation after limb loss in order to facilitate effective participation in society. Research in the general population suggests that the ability to walk fast is correlated to good performance in balance tests. However, it is unclear if and how prosthesis use influences this correlation.
View Article and Find Full Text PDFExp Brain Res
September 2025
Department of Health Care Sciences, Wayne State University, Eugene Applebaum College of Pharmacy and Health Care Sciences, 259 Mack Avenue, Detroit, MI, USA.
Mobility impairments and increased fall risk are common in multiple sclerosis (MS), resulting from myelin degradation in motor pathways. While forward walking is a common mobility assessment, backward walking shows greater sensitivity in distinguishing fallers due to its increased postural and cognitive demands. However, the neurobiological mechanisms underlying backward walking deficits remain unclear.
View Article and Find Full Text PDFExp Gerontol
September 2025
Department of Kinesiology, Hungarian University of Sports Science, 1123 Budapest, Hungary; Department of Sport Biology, Institute of Sport Sciences and Physical Education, University of Pécs, Hungary; Faculty of Sport Science, Ningbo University, Ningbo, China; Department of Human Movement Sciences,
Background: Stroke incidence rises with age. A stroke can severely affect walking ability, requiring therapy. Robot-assisted walking therapy (ROB) has been advocated as one form of walking rehabilitation in stroke patients.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Kinesiology, Texas Christian University, Fort Worth, TX, United States.
Introduction: Interlimb coordination, the synchronization of movements between limbs, is essential for efficient and stable human movement. Disruptions in coordination contribute to gait dysfunction, a common challenge for individuals with Parkinson's disease (PD). This scoping review investigates how PD impairs interlimb coordination and influences gait adaptability, emphasizing the complexity of motor control challenges.
View Article and Find Full Text PDFMov Disord Clin Pract
September 2025
Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Background: The impact of levodopa on gait in individuals with Parkinson's disease (PD), particularly in those with and without a history of falls, remains unclear.
Objective: This study examines whether levodopa alters digital gait characteristics in fallers and non-fallers with PD to those observed in healthy controls (HC) and identifies key gait and turning measures most influenced by levodopa.
Methods: We recruited 33 individuals with PD (17 fallers, 16 non-fallers) and 17 HC.