Evidence map›Paper›PMID 30746286›Full record

ArticleProceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems2018

A Phase Variable Approach to Volitional Control of Powered Knee-Ankle Prostheses.

Siavash Rezazadeh, David Quintero, Nikhil Divekar, Robert D Gregg

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Design and Validation of a Powered Knee-Ankle Prosthesis with High-Torque, Low-Impedance Actuators.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2020
    Article
  2. Article
  3. Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study.IEEE journal of translational engineering in health and medicine · 2018
    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.

Siavash RezazadehLocomotor Control Systems Laboratory, Departments of Bioengineering and Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
David QuinteroLocomotor Control Systems Laboratory, Departments of Bioengineering and Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Nikhil DivekarLocomotor Control Systems Laboratory, Departments of Bioengineering and Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.
Robert D GreggLocomotor Control Systems Laboratory, Departments of Bioengineering and Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA.

Funding

PHASE-BASED CONTROL OF LOCOMOTION FOR HIGH-PERFORMANCE PROSTHESES AND ORTHOSESDP2HD080349 · NICHD · UNIVERSITY OF TEXAS DALLAS · PI GREGG, ROBERT D · 2013 to 2013
$2.3M
NICHD NIH HHS DP2 HD080349
6 · The paper itself

Abstract

Although there has been recent progress in control of multi-joint prosthetic legs for periodic tasks such as walking, volitional control of these systems for non-periodic maneuvers is still an open problem. In this paper, we develop a new controller that is capable of both periodic walking and common volitional leg motions based on a piecewise holonomic phase variable through a finite state machine. The phase variable is constructed by measuring the thigh angle, and the transitions in the finite state machine are formulated through sensing foot contact together with attributes of a nominal reference gait trajectory. The controller was implemented on a powered knee-ankle prosthesis and tested with a transfemoral amputee subject, who successfully performed a wide range of periodic and non-periodic tasks, including low- and high-speed walking, quick start and stop, backward walking, walking over obstacles, and kicking a soccer ball. The proposed approach is expected to provide better understanding of volitional motions and lead to more reliable control of multi-joint prostheses for a wider range of tasks.

Identifiers

PMID30746286
PMCPMC6368100

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.