Evidence map›Paper›PMID 37046941›Full record

ArticleHealthcare (Basel, Switzerland)2023

Effects of Background Music on Mental Fatigue in Steady-State Visually Evoked Potential-Based BCIs.

Shouwei Gao, Kang Zhou, Jun Zhang, Yi Cheng, Shujun Mao

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Shouwei GaoSchool of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.
Kang ZhouSchool of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.ORCID 0000-0003-2933-8761
Jun ZhangSchool of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-6470-3333
Yi ChengSchool of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.
Shujun MaoSchool of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai 200444, China.
Shanghai University · CN

Funding

National Key Research and Development Program of China 2022YFF1202500National Key Research and Development Program of China 2022YFF1202504
6 · The paper itself

Abstract

As a widely used brain-computer interface (BCI) paradigm, steady-state visually evoked potential (SSVEP)-based BCIs have the advantages of high information transfer rates, high tolerance for artifacts, and robust performance across diverse users. However, the incidence of mental fatigue from prolonged, repetitive stimulation is a critical issue for SSVEP-based BCIs. Music is often used as a convenient, non-invasive means of relieving mental fatigue. This study investigates the compensatory effect of music on mental fatigue through the introduction of different modes of background music in long-duration, SSVEP-BCI tasks. Changes in electroencephalography power index, SSVEP amplitude, and signal-to-noise ratio were used to assess participants' mental fatigue. The study's results show that the introduction of exciting background music to the SSVEP-BCI task was effective in relieving participants' mental fatigue. In addition, for continuous SSVEP-BCI tasks, a combination of musical modes that used soothing background music during the rest interval phase proved more effective in reducing users' mental fatigue. This suggests that background music can provide a practical solution for long-duration SSVEP-based BCI implementation.

Indexed as

background musicelectroencephalogrammental fatiguesteady-state visual evoked potential (SSVEP)

Identifiers

PMID37046941
PMCPMC10094051
OpenAlexW4362591100

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.