Evidence map›Paper›PMID 22319293›Full record

ArticleSensors (Basel, Switzerland)2010

A new myohaptic instrument to assess wrist motion dynamically.

Mario Manto, Niels Van Den Braber, Giuliana Grimaldi, Piet Lammertse

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Topography of cerebellar deficits in humans.Cerebellum (London, England) · 2012
    Review
  8. 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

4 authors at 2 institutions in 2 countries.

Mario MantoFNRS, Neurologie ULB-Erasme, 808 Route de Lennik, 1070 Bruxelles, Belgium. mmanto@ulb.ac.be
Niels Van Den Braber
Giuliana Grimaldi
Piet Lammertse
Moog (Netherlands) · NLErasmus Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathophysiological assessment of joint properties and voluntary motion in neurological patients remains a challenge. This is typically the case in cerebellar patients, who exhibit dysmetric movements due to the dysfunction of cerebellar circuitry. Several tools have been developed, but so far most of these tools have remained confined to laboratories, with a lack of standardization. We report on a new device which combines the use of electromyographic (EMG) sensors with haptic technology for the dynamic investigation of wrist properties. The instrument is composed of a drivetrain, a haptic controller and a signal acquisition unit. Angular accuracy is 0.00611 rad, nominal torque is 6 N·m, maximal rotation velocity is 34.907 rad/sec, with a range of motion of -1.0472 to +1.0472 rad. The inertia of the motor and handgrip is 0.004 kg·m2. This is the first standardized myohaptic instrument allowing the dynamic characterization of wrist properties, including under the condition of artificial damping. We show that cerebellar patients are unable to adapt EMG activities when faced with an increase in damping while performing fast reversal movements. The instrument allows the extraction of an electrophysiological signature of a cerebellar deficit.

Indexed as

AdultAgedCase-Control StudiesCerebellar AtaxiaComputer SimulationElectromyographyFemaleHumansMaleMiddle AgedMotionMuscle ContractionMuscle, SkeletalRange of Motion, ArticularRotationTorqueataxiadampingmovementmyohapticsensor

Identifiers

PMID22319293
PMCPMC3274218
OpenAlexW1972796172

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.