ArticleScientific reports2017
Interactions Between Transfemoral Amputees and a Powered Knee Prosthesis During Load Carriage.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- A pelvic kinematic approach for calculating hip angles for active hip disarticulation prosthesis control.Journal of neuroengineering and rehabilitation · 2023Article
- A Scientometric Analysis and Visualization of Prosthetic Foot Research Work: 2000 to 2022.Bioengineering (Basel, Switzerland) · 2023Review
- Taking Both Sides: Seeking Symbiosis Between Intelligent Prostheses and Human Motor Control during Locomotion.Current opinion in biomedical engineering · 2021Article
- Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions.Journal of neural engineering · 2021Review
- Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review.BMJ open · 2021Article
- Direct continuous electromyographic control of a powered prosthetic ankle for improved postural control after guided physical training: A case study.Wearable technologies · 2021Article
- Global Muscle Coactivation of the Sound Limb in Gait of People with Transfemoral and Transtibial Amputation.Sensors (Basel, Switzerland) · 2020Article
- An Extensive Set of Kinematic and Kinetic Data for Individuals with Intact Limbs and Transfemoral Prosthesis Users.Applied bionics and biomechanics · 2020Article
- Effects of extended stance time on a powered knee prosthesis and gait symmetry on the lateral control of balance during walking in individuals with unilateral amputation.Journal of neuroengineering and rehabilitation · 2019Article
- Effects of extended powered knee prosthesis stance time via visual feedback on gait symmetry of individuals with unilateral amputation: a preliminary study.Journal of neuroengineering and rehabilitation · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Machines and humans become mechanically coupled when lower limb amputees walk with powered prostheses, but these two control systems differ in adaptability. We know little about how they interact when faced with real-world physical demands (e.g. carrying loads). Here, we investigated how each system (i.e. amputee and powered prosthesis) responds to changes in the prosthesis mechanics and gravitational load. Five transfemoral amputees walked with and without load (i.e. weighted backpack) and a powered knee prosthesis with two pre-programmed controller settings (i.e. for load and no load). We recorded subjects' kinematics, kinetics, and perceived exertion. Compared to the no load setting, the load setting reduced subjects' perceived exertion and intact-limb stance time when they carried load. When subjects did not carry load, their perceived exertion and gait performance did not significantly change with controller settings. Our results suggest transfemoral amputees could benefit from load-adaptive powered knee controllers, and controller adjustments affect amputees more when they walk with (versus without) load. Further understanding of the interaction between powered prostheses, amputee users, and various environments may allow researchers to expand the utility of prostheses beyond simple environments (e.g. firm level ground without load) that represent only a subset of real-world environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.