Quantitative evaluation using EEG for influence of meaningful or meaningless noise on participants during mental tasks

Tamesue, Takahiro; Kamijo, Haruka; Itoh, Kazunori

doi:10.1109/scis-isis.2012.6505321

Cited by 2 publications

(3 citation statements)

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“…In this article, the cognitive functions studied vary, each researcher examines one cognitive aspect, but some combine more than one cognitive aspect. The cognitive aspects studied by the researchers are "Attention" [42,43,40,22,24], "Stress" [46,47,22], "Mental Workload" [41,23,34,6,35,48,37], "Situation Awareness" [48,33], "Task Performance" [30,31,45], "Working Memory" [49,36,40],"Reaction Time" [39]. In the era of digitization and automation with the increasing use of digital systems, the focus should shift to studying cognitive aspects.…”

Section: Fig 8 Classification Of Types Of Eeg Feature Extraction Methodsmentioning

confidence: 99%

“…This method looks at the basic characteristics of the EEG signal with a calculation based on time. Research using Event-related Potential or Evoked Response Potential is included in the feature extraction method in the time domain [29,30,31]. While in the EMG signal analysis, study reported [32] used the root mean square time domain to determine the most dominant muscle strength.…”

Section: Content Analysismentioning

confidence: 99%

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Literature Review: Impact of Noise on Cognitive Performance Using Electroencephalography

Astuti

Suhardi

Laksono

et al. 2023

AMM

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One of the environmental factors that can influence the onset of fatigue is noise exposure. Besides noise has a negative impact on everything from cognitive processes to mental and physical health. Noise's impact can be measured using brain activity and the waves it generates. The main goal of this article is to review how electroencephalography can be used to determine the impact of noise on cognitive performance. The method is based on bibliometric analysis stages, including literature study from the Scopus database and the snowball search method. The findings revealed that of the 30 articles examined, 28 used the experimental design method with continuous noise, and 10 used the time-frequency domain for feature extraction. According to the results of the study, there seems to be an increase in the use of EEG for performance measurement, such as mental fatigue, mental workload, working memory, attention, stress, and the presence of noise factors that influence cognitive performance.

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Section: Fig 8 Classification Of Types Of Eeg Feature Extraction Methodsmentioning

confidence: 99%

Section: Content Analysismentioning

confidence: 99%

Literature Review: Impact of Noise on Cognitive Performance Using Electroencephalography

Astuti

Suhardi

Laksono

et al. 2023

AMM

View full text Add to dashboard Cite

show abstract

“…Some of the sounds have a beneficial influence on human emotion, psychology, and ASTESJ ISSN: 2415-6698 congenital. Thus, many research has been carried out to investigate the effect of sound on human cognition either for children or adult [2][3][4][5]. Besides, the development of the biomedical equipment especially the brain modalities i.e.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effect of Mozart Music and White Noise on Electroencephalography Pattern toward Visual Memory

Daud¹,

Sudirman²

2017

Adv. sci. technol. eng. syst. j.

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Quantitative evaluation using EEG for influence of meaningful or meaningless noise on participants during mental tasks

Cited by 2 publications

References 1 publication

Literature Review: Impact of Noise on Cognitive Performance Using Electroencephalography

Literature Review: Impact of Noise on Cognitive Performance Using Electroencephalography

Evaluating the Effect of Mozart Music and White Noise on Electroencephalography Pattern toward Visual Memory

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