Evidence map›Paper›PMID 37655190›Full record

ArticleIEEE transactions on medical robotics and bionics2023

Electromyography-Based Control of Lower Limb Prostheses: A Systematic Review.

Bahareh Ahkami, Kirstin Ahmed, Alexander Thesleff, Levi Hargrove, Max Ortiz-Catalan

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Design and evaluation of a bone-anchored, neurally-controlled knee prosthesis.Journal of neuroengineering and rehabilitation · 2026
    Article
  6. Locomotion Decoding (Applied bionics and biomechanics · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Advances in prosthetics and orthotics.BMC musculoskeletal disorders · 2024
    Article
  17. Article
  18. 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

5 authors.

Bahareh AhkamiCenter for Bionics and Pain Research, 43130 Mölndal, Sweden, and also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.ORCID 0000-0003-1873-091X
Kirstin AhmedCenter for Bionics and Pain Research, 43130 Mölndal, Sweden, and also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.ORCID 0000-0001-6518-1664
Alexander ThesleffCenter for Bionics and Pain Research, 43130 Mölndal, Sweden, also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden, and also with Integrum AB, 43153 Molndal, Sweden.ORCID 0000-0003-0384-9205
Levi HargroveDepartment of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611 USA, and also with the Regenstein Foundation Center for Bionic Medicine, Shirley Ryan AbilityLab, Chicago, IL 60611 USA.ORCID 0000-0002-1705-0050
Max Ortiz-CatalanCenter for Bionics and Pain Research, 43130 Mölndal, Sweden, also with the Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden, also with the Operational Area 3, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden, and also with Bionics Institute, Melbourne, VIC 3002, Australia.ORCID 0000-0002-6084-3865

Funding

Intuitive Control of a Hybrid Prosthetic Leg During AmbulationR01HD079428 · NICHD · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI HARGROVE, LEVI JOHN · 2014 to 2022
$5.6M
NICHD NIH HHS R01 HD079428
6 · The paper itself

Abstract

Most amputations occur in lower limbs and despite improvements in prosthetic technology, no commercially available prosthetic leg uses electromyography (EMG) information as an input for control. Efforts to integrate EMG signals as part of the control strategy have increased in the last decade. In this systematic review, we summarize the research in the field of lower limb prosthetic control using EMG. Four different online databases were searched until June 2022: Web of Science, Scopus, PubMed, and Science Direct. We included articles that reported systems for controlling a prosthetic leg (with an ankle and/or knee actuator) by decoding gait intent using EMG signals alone or in combination with other sensors. A total of 1,331 papers were initially assessed and 121 were finally included in this systematic review. The literature showed that despite the burgeoning interest in research, controlling a leg prosthesis using EMG signals remains challenging. Specifically, regarding EMG signal quality and stability, electrode placement, prosthetic hardware, and control algorithms, all of which need to be more robust for everyday use. In the studies that were investigated, large variations were found between the control methodologies, type of research participant, recording protocols, assessments, and prosthetic hardware.

Indexed as

control algorithmscontrol architectureElectromyography (EMG)lower limb amputationmovement intention recognitionpattern recognition

Identifiers

PMID37655190
PMCPMC10470657

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.