Evidence map›Paper›PMID 34556149›Full record

ArticleBiomedical engineering online2021

Extended classifier system with continuous real-coded variables for feature extraction of instantaneous pulse-rate variability and respiration of individuals with gaming disorder.

Hung-Ming Chi, Tzu-Chien Hsiao

Abstract read
In one paragraph

Article in Biomedical engineering online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

2 authors.

Hung-Ming ChiDepartment of Computer Science, College of Computer Science, National Yang Ming Chiao Tung University, 1001 University Road, Hsinchu, Taiwan, ROC.
Tzu-Chien HsiaoDepartment of Computer Science, College of Computer Science, National Yang Ming Chiao Tung University, 1001 University Road, Hsinchu, Taiwan, ROC. labview@cs.nctu.edu.tw.ORCID http://orcid.org/0000-0003-2493-3780

Funding

ministry of science and technology, taiwan MOST 109-2221-E-009-117-MY3ministry of science and technology, taiwan MOST 109-2811-E-009-522-MY3
6 · The paper itself

Abstract

backgroundIndividuals with gaming disorder (GD) exhibit autonomic nervous system responses that indicate dysfunctional emotion regulation. Pulse rate variability (PRV) is a valuable biomarker for investigating the autonomic function of patients with mental disorders. Because individuals with GD dynamically regulate emotions during gaming, the PRV response relating to GD is not well understood. To investigate the dynamic PRV responses of individuals with GD, this study proposed the indexes of instantaneous PRV (iPRV) and instantaneous respiratory frequency (IF

resultsA total of 32 college students without depressive and anxiety symptoms or cardiovascular diseases were recruited in this study. Participants were grouped into the high-risk GD and low-risk GD using both Chen Internet Addiction Scale and Internet Gaming Disorder Questionnaire. Their arterial blood pressures signals were measured while they watched gameplay videos with negative or positive emotional stimuli. Seven participants with high-risk GD exhibited significantly increased normalized VHF (nVHF) PRV and IF

conclusionsiPRV and IF

Indexed as

Behavior, AddictiveRespirationAlgorithmsAutonomic Nervous SystemHeart RateHumansEmpirical mode decompositionGaming disorderInstantaneous pulse rate variabilityMachine learning system

Identifiers

PMID34556149
PMCPMC8461950

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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.