Evidence map›Paper›PMID 30336595›Full record

ArticleSensors (Basel, Switzerland)2018

Assistance Robotics and Biosensors.

Fernando Torres, Santiago T Puente, Andrés Úbeda

Abstract readEditorial
In one paragraph

Article in Sensors (Basel, Switzerland), 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
–field-weighted citation impact
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.

  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

3 authors.

Fernando TorresDepartment of Physics, System Engineering and Signal Theory, University of Alicante, 03690 Alicante, Spain. fernando.torres@ua.es.ORCID 0000-0002-6261-9939
Santiago T PuenteDepartment of Physics, System Engineering and Signal Theory, University of Alicante, 03690 Alicante, Spain. santiago.puente@ua.es.ORCID 0000-0002-6175-600X
Andrés ÚbedaDepartment of Physics, System Engineering and Signal Theory, University of Alicante, 03690 Alicante, Spain. andres.ubeda@ua.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Special Issue is focused on breakthrough developments in the field of biosensors and current scientific progress in biomedical signal processing. The papers address innovative solutions in assistance robotics based on bioelectrical signals, including: Affordable biosensor technology, affordable assistive-robotics devices, new techniques in myoelectric control and advances in brain⁻machine interfacing.

Indexed as

Biosensing TechniquesBrain-Computer InterfacesElectroencephalographyElectromyographyExoskeleton DeviceHumansPersons with DisabilitiesRoboticsadvanced biomedical signal processingassistance robotics applicationselectroencephalographic (EEG) sensorselectromyographic (EMG) sensorsrobotic exoskeletonsrobotic prostheses

Identifiers

PMID30336595
PMCPMC6211006

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.