Evidence map›Paper›PMID 26090229›Full record

ArticleMultiple sclerosis international2015

Development of Activity-Related Muscle Fatigue during Robot-Mediated Upper Limb Rehabilitation Training in Persons with Multiple Sclerosis: A Pilot Trial.

Johanna Renny Octavia, Peter Feys, Karin Coninx

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Muscle fatigue assessment during robot-mediated movements.Journal of neuroengineering and rehabilitation · 2018
    Trial
  2. Review
  3. Article
  4. Article
  5. 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

3 authors at 3 institutions in 2 countries.

Johanna Renny OctaviaParahyangan Catholic University, Industrial Engineering Department, Ciumbuleuit 94, Bandung 40141, Indonesia ; Hasselt University, Expertise Centre for Digital Media-tUL-iMinds, Wetenschapspark 2, 3590 Diepenbeek, Belgium.ORCID 0000-0002-5581-2634
Peter FeysREVAL Rehabilitation Research Center, BIOMED, Faculty of Medicine and Life Sciences, Hasselt University, Agoralaan Gebouw A, 3590 Diepenbeek, Belgium.ORCID 0000-0002-5680-5495
Karin ConinxHasselt University, Expertise Centre for Digital Media-tUL-iMinds, Wetenschapspark 2, 3590 Diepenbeek, Belgium.ORCID 0000-0001-6730-3426
Hasselt University · BEiMinds · BEParahyangan Catholic University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted rehabilitation facilitates high-intensity training of the impaired upper limb in neurological rehabilitation. It has been clinically observed that persons with Multiple Sclerosis (MS) have difficulties in sustaining the training intensity during a session due to the development of activity-related muscle fatigue. An experimental observational pilot study was conducted to examine whether or not the muscle fatigue develops in MS patients during one session of robot-assisted training within a virtual learning environment. Six MS patients with upper limb impairment (motricity index ranging from 50 to 91/100) and six healthy persons completed five training bouts of three minutes each performing lifting tasks, while EMG signals of anterior deltoid and lower trapezius muscles were measured and their subjective perceptions on muscle fatigue were registered. Decreased performance and higher subjective fatigue perception were present in the MS group. Increased mean EMG amplitudes and subjective perception levels on muscle fatigue were observed in both groups. Muscle fatigue development during 15' training has been demonstrated in the arm of MS patients, which influences the sustainability of training intensity in MS patients. To optimize the training performance, adaptivity based on the detection of MS patient's muscle fatigue could be provided by means of training program adjustment.

Identifiers

PMID26090229
PMCPMC4458277
OpenAlexW1566981954

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.