Evidence map›Paper›PMID 31296226›Full record

ArticleJournal of neuroengineering and rehabilitation2019

The "Beam-Me-In Strategy" - remote haptic therapist-patient interaction with two exoskeletons for stroke therapy.

Kilian Baur, Nina Rohrbach, Joachim Hermsdörfer, Robert Riener, Verena Klamroth-Marganska

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 27 citations in OpenAlex.

  1. Exploiting telerobotics for sensorimotor rehabilitation: a locomotor embodiment.Journal of neuroengineering and rehabilitation · 2021
    Trial
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Human-machine-human interaction in motor control and rehabilitation: a review.Journal of neuroengineering and rehabilitation · 2021
    Review
  7. 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 at 4 institutions in 2 countries.

Kilian BaurSensory-Motor Systems Lab, Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH Zurich), Tannenstrasse 1, Zurich, 8092, Switzerland. kilian.baur@hest.ethz.ch.ORCID 0000-0002-3106-3050
Nina RohrbachChair of Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, (TU Munich), Munich, Germany, Georg-Brauchle-Ring 60-62/III, Munich, 80992, Germany.
Joachim HermsdörferChair of Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, (TU Munich), Munich, Germany, Georg-Brauchle-Ring 60-62/III, Munich, 80992, Germany.
Robert RienerSensory-Motor Systems Lab, Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH Zurich), Tannenstrasse 1, Zurich, 8092, Switzerland.
Verena Klamroth-MarganskaSensory-Motor Systems Lab, Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH Zurich), Tannenstrasse 1, Zurich, 8092, Switzerland.
Technical University of Munich · DEETH Zurich · CHUniversity of Zurich · CHZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe present a robot-assisted telerehabilitation system that allows for haptic interaction between therapist and patient over distance. It consists of two arm therapy robots. Attached to one robot the therapists can feel on their own arm the limitations of the patient's arm which is attached to the other robot. Due to the exoskeleton structure of the robot, movements can be performed in the three-dimensional space.

methodsFifteen physical and occupational therapists tested this strategy, named "Beam-Me-In", while using an exoskeleton robot connected to a second exoskeleton robot in the same room used by the study experimenter. Furthermore, the therapists assessed the level of impairment of recorded and simulated arm movements. They quantified four typical impairments of stroke patients: reduced range of motion (active and passive), resistance to passive movement, a lack of ability to fractionate a movement, and disturbed quality of movement.

resultsOn a Likert Scale (0 to 5 points) therapists rated the "Beam-Me-In" strategy as a very useful medium (mode: 4 points) to evaluate a patient's progress over time. The passive range of motion of the elbow joint was assessed with a mean absolute error of 4.9

conclusionsThe "Beam-Me-In" strategy is a promising approach to complement robot-assisted movement training. It can serve as a platform to assess and identify abnormal movement patterns in patients. This is the first application of remote three-dimensional haptic assessmen t applied to telerehabilitation. Furthermore, the "Beam-Me-In" strategy has a potential to overcome barriers for therapists regarding robot-assisted telerehabilitation.

Indexed as

Exoskeleton DeviceHumansReproducibility of ResultsRoboticsStroke RehabilitationTelerehabilitationArm rehabilitationBidirectional teleoperationExoskeletonHaptic interactionNeurorehabilitationRobot-assisted assessmentRobot-assisted rehabilitationStrokeStroke rehabilitationTeleassessmentTelerehabilitation

Identifiers

PMID31296226
PMCPMC6625018
OpenAlexW2962194874

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.