Evidence map›Paper›PMID 32483471›Full record

ArticleBasic and clinical neuroscience

Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics.

Zohre Rezaee, Hamid Reza Kobravi

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In one paragraph

Article in Basic and clinical neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

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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

2 authors.

Zohre RezaeeResearch Center of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.ORCID 0000-0002-4672-2557
Hamid Reza KobraviResearch Center of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.ORCID 0000-0002-7365-5214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEfficient gait control using Functional Electrical Stimulation (FES) is an open research problem. In this research, a new intermittent controller has been designed to control the human shank movement dynamics during gait.

methodsIn this approach, first, the three-dimensional phase space was constructed using the human shank movement data recorded from the healthy subjects. Then, three iterated sine-circle maps were extracted in the mentioned phase space. The three identified one-dimensional maps contained the essential information about the shank movement dynamics during a gait cycle. Next, an intermittent fuzzy controller was designed to control the shank angle. According to the adopted intermittent control strategy, the fuzzy controller is activated whenever the shank angle is far enough from the specific. The specific points are described using the identified iterated maps in the constructed phase space. In this manner, the designed controller is activated during a short-time fraction of the gait cycle time.

resultsThe designed intermittent controller was evaluated through some simulation studies on a two-joint musculoskeletal model. The obtained results suggested that the pattern of the obtained hip and knee joint trajectories, the outputs of the musculoskeletal model, were acceptably similar to the joints' trajectories pattern of healthy subjects.

conclusionThe intriguing similarity was observed between the dynamics of the recorded human data and those of the controlled musculoskeletal model. It supports the acceptable performance of the proposed control strategy.

Indexed as

GaitMuscle contraction IntroductionRehabilitationSpinal cord injuries

Identifiers

PMID32483471
PMCPMC7253817

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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.