Evidence map›Paper›PMID 24982628›Full record

ArticleFrontiers in human neuroscience2014

EMG patterns during assisted walking in the exoskeleton.

Francesca Sylos-Labini, Valentina La Scaleia, Andrea d'Avella, Iolanda Pisotta, Federica Tamburella, Giorgio Scivoletto, Marco Molinari, Shiqian Wang, Letian Wang, Edwin van Asseldonk and 10 more

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
–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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Advancing human sensorimotor research through modular robotics: the case of the HRX-1.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Lightweight Powered Hip Exoskeleton With Parallel Actuation for Frontal and Sagittal Plane Assistance.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Muscle synergies in joystick manipulation.Frontiers in physiology · 2023
    Article
  19. Review
  20. Left-Right Locomotor Coordination in Human Neonates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    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

20 authors.

Francesca Sylos-LabiniLaboratory of Neuromotor Physiology, Santa Lucia Foundation Rome, Italy ; Centre of Space Bio-medicine, University of Rome Tor Vergata Rome, Italy.
Valentina La ScaleiaLaboratory of Neuromotor Physiology, Santa Lucia Foundation Rome, Italy ; Centre of Space Bio-medicine, University of Rome Tor Vergata Rome, Italy.
Andrea d'AvellaLaboratory of Neuromotor Physiology, Santa Lucia Foundation Rome, Italy.
Iolanda PisottaSpinal Cord Rehab Unit and CaRMA Lab, Santa Lucia Foundation Rome, Italy.
Federica TamburellaSpinal Cord Rehab Unit and CaRMA Lab, Santa Lucia Foundation Rome, Italy.
Giorgio ScivolettoSpinal Cord Rehab Unit and CaRMA Lab, Santa Lucia Foundation Rome, Italy.
Marco MolinariSpinal Cord Rehab Unit and CaRMA Lab, Santa Lucia Foundation Rome, Italy.
Shiqian WangBiomechanical Engineering, Delft University of Technology Delft, Netherlands.
Letian WangBiomechanical Engineering, University of Twente Enschede, Netherlands.
Edwin van AsseldonkBiomechanical Engineering, University of Twente Enschede, Netherlands.
Herman van der KooijBiomechanical Engineering, Delft University of Technology Delft, Netherlands ; Biomechanical Engineering, University of Twente Enschede, Netherlands.
Thomas HoellingerLaboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Brussels, Belgium.
Guy CheronLaboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Brussels, Belgium.
Freygardur ThorsteinssonOSSUR Reykjavík, Iceland.
Michel IlzkovitzSpace Applications Services N.V./S.A. Zaventem, Belgium.
Jeremi GancetSpace Applications Services N.V./S.A. Zaventem, Belgium.
Ralf HauffeANT Neuro Berlin, Germany.
Frank ZanovANT Neuro Berlin, Germany.
Francesco LacquanitiLaboratory of Neuromotor Physiology, Santa Lucia Foundation Rome, Italy ; Centre of Space Bio-medicine, University of Rome Tor Vergata Rome, Italy ; Department of Systems Medicine, University of Rome Tor Vergata Rome, Italy.
Yuri P IvanenkoLaboratory of Neuromotor Physiology, Santa Lucia Foundation Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroprosthetic technology and robotic exoskeletons are being developed to facilitate stepping, reduce muscle efforts, and promote motor recovery. Nevertheless, the guidance forces of an exoskeleton may influence the sensory inputs, sensorimotor interactions and resulting muscle activity patterns during stepping. The aim of this study was to report the muscle activation patterns in a sample of intact and injured subjects while walking with a robotic exoskeleton and, in particular, to quantify the level of muscle activity during assisted gait. We recorded electromyographic (EMG) activity of different leg and arm muscles during overground walking in an exoskeleton in six healthy individuals and four spinal cord injury (SCI) participants. In SCI patients, EMG activity of the upper limb muscles was augmented while activation of leg muscles was typically small. Contrary to our expectations, however, in neurologically intact subjects, EMG activity of leg muscles was similar or even larger during exoskeleton-assisted walking compared to normal overground walking. In addition, significant variations in the EMG waveforms were found across different walking conditions. The most variable pattern was observed in the hamstring muscles. Overall, the results are consistent with a non-linear reorganization of the locomotor output when using the robotic stepping devices. The findings may contribute to our understanding of human-machine interactions and adaptation of locomotor activity patterns.

Indexed as

assisted gaitEMG patternsneuroprosthetic technologyrobotic exoskeletonspinal cord injury

Identifiers

PMID24982628
PMCPMC4058900

What OpenQuestion holds

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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.