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The Power Use of Power Spectrum Density for Measures of Cognitive Performance Based on Electroencephalography: Systematic Literature Review

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Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1182))

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Abstract

Humans play more of a role as operators who carry out control functions, so cognitive abilities, especially those related to perception and decision-making, become very important. Cognitive performance can be seen in a person’s ability to complete a cognitive activity. Electroencephalography is a tool for measuring cognitive performance through human brain activity wave signals. The main objective of this article is to systematically review Power Spectrum Density (PSD) feature extraction methods for cognitive performance measurement based on EEG. The methods used in this study are the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) method and Bibliometric analysis using VOSViewer. Data sources totaled 50 articles obtained from Scopus, Science Direct, and IOP Science for the 2013–2023 periods. The results of this article were obtained by observing keywords, density, article trends, feature extraction methods, and the application of EEG. The results showed that out of 50 articles that had been reviewed, 19 used PSD to measure cognitive performance, the Alpha frequency band is the most commonly used in measuring cognitive performance. The increasing use of PSD methods for the measurement of cognitive aspects (fatigue, workload, performance, mental) shows that future research directions can still be developed.

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Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Engineering, Sebelas Maret University, Surakarta, 57126, Indonesia

    Rahmaniyah Dwi Astuti, Bambang Suhardi, Pringgo Widyo Laksono & Ainun Rahmansyah Gaffar

  2. Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Semarang, 50275, Indonesia

    Novie Susanto

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  1. Rahmaniyah Dwi Astuti
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  2. Bambang Suhardi
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  4. Novie Susanto
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Correspondence to Rahmaniyah Dwi Astuti .

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Editors and Affiliations

  1. Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia

    Triwiyanto Triwiyanto

  2. School of Electrical Engineering, Telkom University, Bandung, Indonesia

    Achmad Rizal

  3. Faculty of Integrated Technologies, Universiti Brunei Darussalam, Gadong, Brunei Darussalam

    Wahyu Caesarendra

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Astuti, R.D., Suhardi, B., Laksono, P.W., Susanto, N., Gaffar, A.R. (2024). The Power Use of Power Spectrum Density for Measures of Cognitive Performance Based on Electroencephalography: Systematic Literature Review. In: Triwiyanto, T., Rizal, A., Caesarendra, W. (eds) Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics. ICEBEHI 2023. Lecture Notes in Electrical Engineering, vol 1182. Springer, Singapore. https://doi.org/10.1007/978-981-97-1463-6_12

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