Evidence map›Paper›PMID 35837250›Full record

ArticleFrontiers in neurorobotics2022

Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding.

David A Handelman, Luke E Osborn, Tessy M Thomas, Andrew R Badger, Margaret Thompson, Robert W Nickl, Manuel A Anaya, Jared M Wormley, Gabriela L Cantarero, David McMullen and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurorobotics, 2022. 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
6.5field-weighted citation impact, top 2% of its field
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, 55 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Longitudinal study of gesture decoding in a clinical trial participant with ALS.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Review
  6. Article
  7. Clinical Applications and Future Translation of Somatosensory Neuroprostheses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Neural Decoding for Intracortical Brain-Computer Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2023
    Review
  16. Review
  17. Article
  18. When neuro-robots go wrong: A review.Frontiers in neurorobotics · 2023
    Review
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

15 authors at 4 institutions in 1 country.

David A HandelmanDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Luke E OsbornDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Tessy M ThomasDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Andrew R BadgerDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Margaret ThompsonDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Robert W NicklDepartment of Physical Medicine and Rehabilition, Johns Hopkins Medicine, Baltimore, MD, United States.
Manuel A AnayaDepartment of Physical Medicine and Rehabilition, Johns Hopkins Medicine, Baltimore, MD, United States.
Jared M WormleyDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Gabriela L CantareroDepartment of Physical Medicine and Rehabilition, Johns Hopkins Medicine, Baltimore, MD, United States.
David McMullenNational Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
Nathan E CroneDepartment of Neurology, Johns Hopkins Medicine, Baltimore, MD, United States.
Brock WesterDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Pablo A CelnikDepartment of Physical Medicine and Rehabilition, Johns Hopkins Medicine, Baltimore, MD, United States.
Matthew S FiferDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Francesco V TenoreDepartment of Research and Exploratory Development, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States.
Johns Hopkins University Applied Physics Laboratory · USJohns Hopkins University · USJohns Hopkins Medicine · USNational Institute of Mental Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in intelligent robotic systems and brain-machine interfaces (BMI) have helped restore functionality and independence to individuals living with sensorimotor deficits; however, tasks requiring bimanual coordination and fine manipulation continue to remain unsolved given the technical complexity of controlling multiple degrees of freedom (DOF) across multiple limbs in a coordinated way through a user input. To address this challenge, we implemented a collaborative shared control strategy to manipulate and coordinate two Modular Prosthetic Limbs (MPL) for performing a bimanual self-feeding task. A human participant with microelectrode arrays in sensorimotor brain regions provided commands to both MPLs to perform the self-feeding task, which included bimanual cutting. Motor commands were decoded from bilateral neural signals to control up to two DOFs on each MPL at a time. The shared control strategy enabled the participant to map his four-DOF control inputs, two per hand, to as many as 12 DOFs for specifying robot end effector position and orientation. Using neurally-driven shared control, the participant successfully and simultaneously controlled movements of both robotic limbs to cut and eat food in a complex bimanual self-feeding task. This demonstration of bimanual robotic system control

Indexed as

activities of daily living (ADL)bimanual controlbrain computer interface (BCI)human machine teamingrobotic shared control

Identifiers

PMID35837250
PMCPMC9274256
OpenAlexW4283640932

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.