Evidence map›Paper›PMID 29552031›Full record

ArticleComputational intelligence and neuroscience2018

Development of a System Architecture for Evaluation and Training of Proprioceptive Deficits of the Upper Limb.

Roberto Colombo, Alessandra Mazzone, Carmen Delconte, Fabrizio Pisano

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Roberto ColomboService of Bioengineering, IRCCS ICS Maugeri Spa SB, Pavia, Italy.ORCID 0000-0002-0893-9149
Alessandra MazzoneService of Bioengineering, IRCCS ICS Maugeri Spa SB, Veruno, Italy.
Carmen DelconteNeurologic Rehabilitation Division, IRCCS ICS Maugeri Spa SB, Veruno, Italy.
Fabrizio PisanoNeurologic Rehabilitation Division, IRCCS ICS Maugeri Spa SB, Veruno, Italy.
Istituti Clinici Scientifici Maugeri · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proprioception plays a fundamental role in maintaining posture and executing movement, and the quantitative evaluation of proprioceptive deficits in poststroke patients is important. But currently it is not widely performed due to the complexity of the evaluation tools required for a reliable assessment. The aims of this pilot study were to (a) develop a system architecture for upper limb evaluation and training of proximal and distal sense of position in the horizontal plane and (b) test the system in healthy and pathological subjects. Two robotic devices for evaluation and training of, respectively, wrist flexion/extension and shoulder-elbow manipulation were employed. The system we developed was applied in a group of 12 healthy subjects and 10 patients after stroke. It was able to quantitatively evaluate upper limb sense of position in the horizontal plane thanks to a set of quantitative parameters assessing position estimation errors, variability, and gain. In addition, it was able to distinguish healthy from pathological conditions. The system could thus be a reliable method to detect changes in the sense of position of patients with sensory deficits after stroke and could enable the implementation of novel training approaches for the recovery of normal proprioception.

Indexed as

ProprioceptionAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsRoboticsStroke RehabilitationUpper Extremity

Identifiers

PMID29552031
PMCPMC5818916
OpenAlexW2783208235

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.