Evidence map›Paper›PMID 24187266›Full record

ArticleIEEE ... International Conference on Rehabilitation Robotics : [proceedings]2013

Haptic recognition of dystonia and spasticity in simulated multi-joint hypertonia.

D Piovesan, A Melendez-Calderon, F A Mussa-Ivaldi

Abstract read
In one paragraph

Article in IEEE ... International Conference on Rehabilitation Robotics : [proceedings], 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Therapist recognition of impaired muscle groups in simulated multi-joint hypertonia.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2013
    Article
  2. Haptic perception of multi-joint hypertonia during simulated patient-therapist physical tele-interaction.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2013
    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 1 institution in 1 country.

D Piovesan
A Melendez-Calderon
F A Mussa-Ivaldi
Shirley Ryan AbilityLab · US

Funding

LEARNING AND ADAPTATION OF MULTIJOINT ARM MOVEMENTSR01NS035673 · NINDS · REHABILITATION INSTITUTE RESEARCH CORP · PI MUSSA-IVALDI, FERDINANDO ALESSANDRO · 1996 to 2012
$2.7M
NINDS NIH HHS 2R01NS035673NINDS NIH HHS R01 NS035673
6 · The paper itself

Abstract

This paper investigates the capability of naïve individuals to recognize dystonic- or spastic- like conditions through physical manipulation of a virtual arm. Subjects physically interact with a two-joint, six-muscle hypertonic arm model, rendered on a two degrees-of-freedom robotic manipulandum. This paradigm aims to identify the limitation of manual manipulation during diagnosis of hypertonia. Our results indicate that there are difficulties to discriminate between the two conditions at low to medium level of severity. We found that the sample entropy of the executed motion and the force experienced during physical manipulation, tended to be higher during incorrectly identified trials than in those correctly assessed.

Indexed as

DystoniaHumansJointsModels, TheoreticalMuscle HypertoniaMuscle SpasticityPsychometrics

Identifiers

PMID24187266
PMCPMC4497820
OpenAlexW2159167043

What OpenQuestion holds

Textmetadata
LicenceTDM
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.