Evidence map›Paper›PMID 33882949›Full record

Trial reportJournal of neuroengineering and rehabilitation2021

Exploiting telerobotics for sensorimotor rehabilitation: a locomotor embodiment.

Min Hyong Koh, Sheng-Che Yen, Lester Y Leung, Sarah Gans, Keri Sullivan, Yasaman Adibnia, Misha Pavel, Christopher J Hasson

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

8 authors at 3 institutions in 1 country.

Min Hyong KohDepartment of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, 360 Huntington Avenue, 301 Robinson Hall, Boston, MA, 02115-5005, USA.ORCID 0000-0002-3013-382X
Sheng-Che YenDepartment of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, 360 Huntington Avenue, 301 Robinson Hall, Boston, MA, 02115-5005, USA.
Lester Y LeungDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Tufts Medical Center, Boston, USA.
Sarah GansDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Tufts Medical Center, Boston, USA.
Keri SullivanDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Tufts Medical Center, Boston, USA.
Yasaman AdibniaDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Tufts Medical Center, Boston, USA.
Misha PavelKhoury College of Computer Sciences, Northeastern University, Boston, USA.
Christopher J HassonDepartment of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, 360 Huntington Avenue, 301 Robinson Hall, Boston, MA, 02115-5005, USA. c.hasson@northeastern.edu.ORCID 0000-0002-9851-0919
Tufts Medical Center · USNortheastern University · USBoston University · US

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
NCATS NIH HHS UL1 TR002544NCATS NIH HHS UL1TR002544
6 · The paper itself

Abstract

backgroundManual treadmill training is used for rehabilitating locomotor impairments but can be physically demanding for trainers. This has been addressed by enlisting robots, but in doing so, the ability of trainers to use their experience and judgment to modulate locomotor assistance on the fly has been lost. This paper explores the feasibility of a telerobotics approach for locomotor training that allows patients to receive remote physical assistance from trainers.

methodsIn the approach, a trainer holds a small robotic manipulandum that shadows the motion of a large robotic arm magnetically attached to a locomoting patient's leg. When the trainer deflects the manipulandum, the robotic arm applies a proportional force to the patient. An initial evaluation of the telerobotic system's transparency (ability to follow the leg during unassisted locomotion) was performed with two unimpaired participants. Transparency was quantified by the magnitude of unwanted robot interaction forces. In a small six-session feasibility study, six individuals who had prior strokes telerobotically interacted with two trainers (separately), who assisted in altering a targeted gait feature: an increase in the affected leg's swing length.

resultsDuring unassisted walking, unwanted robot interaction forces averaged 3-4 N (swing-stance) for unimpaired individuals and 2-3 N for the patients who survived strokes. Transients averaging about 10 N were sometimes present at heel-strike/toe-off. For five of six patients, these forces increased with treadmill speed during stance (R

conclusionsThe results support the feasibility of locomotor assistance with a telerobotics approach. Simultaneous measurement of trainer manipulative actions, patient motor responses, and the forces associated with these interactions may prove useful for testing sensorimotor rehabilitation hypotheses. Further research with clinicians as operators and randomized controlled trials are needed before conclusions regarding efficacy can be made.

Indexed as

AdultAgedExercise TherapyFeasibility StudiesFemaleGait Disorders, NeurologicHumansLocomotionMaleMiddle AgedRoboticsStroke RehabilitationTelerehabilitationGaitLocomotionMotor learningRehabilitationRoboticsSensorimotor controlStrokeTeleoperation

Identifiers

PMID33882949
PMCPMC8059234
OpenAlexW3134673749

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.