Evidence map›Paper›PMID 27478569›Full record

ArticleEuropean journal of translational myology2016

Engagement Sensitive Visual Stimulation.

Deepesh Kumar, Anirban Dutta, Abhijit Das, Uttama Lahiri

Open access · goldAbstract read
In one paragraph

Article in European journal of translational myology, 2016. 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
0.3field-weighted citation impact, top 32% 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, 2 citations in OpenAlex.

  1. Review
  2. FES in Europe and Beyond: Current Translational Research.European journal of translational myology · 2016
    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 3 institutions in 2 countries.

Deepesh KumarElectrical Engineering, Indian Institute of Technology Gandhinagar , India.
Anirban DuttaLeibniz Research Center for Working Environment and Human Factors , TU Dortmund, Germany.
Abhijit DasDepartment of Neurorehabilitation, AMRI Institute of Neurosciences , Kolkata, India.
Uttama LahiriElectrical Engineering, Indian Institute of Technology Gandhinagar , India.
Indian Institute of Technology Gandhinagar · INInstitute of Neurosciences Kolkata · INTU Dortmund University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is one of leading cause of death and disability worldwide. Early detection during golden hour and treatment of individual neurological dysfunction in stroke using easy-to-access biomarkers based on a simple-to-use, cost-effective, clinically-valid screening tool can bring a paradigm shift in healthcare, both urban and rural. In our research we have designed a quantitative automatic home-based oculomotor assessment tool that can play an important complementary role in prognosis of neurological disorders like stroke for the neurologist. Once the patient has been screened for stroke, the next step is to design proper rehabilitation platform to alleviate the disability. In addition to the screening platform, in our research, we work in designing virtual reality based rehabilitation exercise platform that has the potential to deliver visual stimulation and in turn contribute to improving one's performance.

Indexed as

balance rehabilitationfixationsmooth-pursuitstrokevirtual-reality

Identifiers

PMID27478569
PMCPMC4942712
OpenAlexW2469087771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.