Evidence map›Paper›PMID 40370951›Full record

ArticleIEEE transactions on medical robotics and bionics2023

Design, Control, and Evaluation of a Robotic Ankle-Foot Prosthesis Emulator.

Anthony J Anderson, Yuri F Hudak, Brittney C Muir, Patrick M Aubin

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. A robotic emulator for the systematic exploration of transtibial biarticular prosthesis designs.Journal of rehabilitation and assistive technologies engineering
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anthony J AndersonDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98116 USA, and also with the Center for Limb Loss and Mobility, VA Puget Sound Health Care System, Seattle, WA 98018 USA.ORCID 0000-0002-8052-7069
Yuri F HudakDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98116 USA, and also with the Center for Limb Loss and Mobility, VA Puget Sound Health Care System, Seattle, WA 98018 USA.ORCID 0000-0002-8753-7104
Brittney C MuirDepartment of Mechanical Engineering, University of Washington, Seattle, WA 98116 USA, and also with the Center for Limb Loss and Mobility, VA Puget Sound Health Care System, Seattle, WA 98018 USA.
Patrick M AubinDepartment of Mechanical Engineering and the Department Orthopaedic and Sports Medicine, University of Washington, Seattle, WA 98116 USA.

Funding

RRD VA I50 RX002357RRD VA IK2 RX002130
6 · The paper itself

Abstract

People with transtibial limb loss experience reduced mobility. Intelligent ankle-foot prostheses have the potential to improve quality of life in people with limb loss, but there are scientific, clinical, and commercial barriers that prevent widespread impact. Further research tools and experiments are needed to expand our understanding of how to design and control intelligent prosthetic limbs. We designed and built a robotic ankle-foot prosthesis with off-board actuation and control to serve as a platform for biomechanical lower limb loss research. Our prosthesis fits inside of a shoe during walking and attaches to standard clinical prosthesis componentry, including carbon fiber prosthetic footplates and pyramid adapters. Our novel mechanical architecture implements a custom torsion spring in parallel with the ankle joint to allow for dorsiflexion and plantarflexion torque control with a single off-board actuator. Benchtop tests show that our prosthesis has peak plantarflexion torques greater than 175 Nm and a torque control bandwidth of 6.1 Hz. Walking experiments with two participants with lower limb loss indicate that the prosthesis can achieve low torque tracking errors and push-off power greater than the biological ankle during walking. This device will enable future experiments on amputee gait biomechanics, human-robot interaction, and prosthesis control.

Indexed as

anklepowerrehabilitationRoboticswalking

Identifiers

PMID40370951
PMCPMC12077017

What OpenQuestion holds

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Registered trials

None linked

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.