Automatic detection of the mental state in responses towards relaxation.

Nagore Sagastibeltza, Asier Salazar-Ramirez, Raquel Martinez, Jose Luis Jodra, Javier Muguerza

Open access · hybridAbstract read

In one paragraph

Article in Neural computing & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.3field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Nagore Sagastibeltza *Department of Computer Architecture and Technology, University of the Basque Country (UPV-EHU), Donostia, Spain.

Asier Salazar-Ramirez *Department of Systems Engineering and Automation, University of the Basque Country (UPV-EHU), Bilbao, Spain.ORCID 0000-0002-3958-8214

Raquel Martinez *Department of Systems Engineering and Automation, University of the Basque Country (UPV-EHU), Bilbao, Spain.

Jose Luis Jodra *Department of Electronic Technology, University of the Basque Country (UPV-EHU), Donostia, Spain.

Javier Muguerza *Department of Computer Architecture and Technology, University of the Basque Country (UPV-EHU), Donostia, Spain.

University of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, considering society's highly demanding lifestyles, it is important to consider the usefulness of relaxation from the perspective of both psychology and clinical practice. The response towards relaxation (RResp) is a mind-body interaction that relaxes the organism or compensates for the physiological effects caused by stress. This work aims to automatically detect the different mental states (relaxation, rest and stress) in which RResps may occur so that complete feedback about the quality of the relaxation can be given to the subject itself, the psychologist or the doctor. To this end, an experiment was conducted to induce both states of stress and relaxation in a sample of 20 university students (average age of

Indexed as

Machine learningMental healthPhysiological computingResponses towards relaxation

Identifiers

PMID35698721

DOI10.1007/s00521-022-07435-7

PMCPMC9178946

OpenAlexW4282927620

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.