EEG signal quality analysis of resting states using the MUSE 2 headband for brain-computer interface

Yaacob, Hamwira Sakti and Awang Abu Bakar, Normi Sham and Abdul Rahman, Abdul Wahab and Handayani, Dini Oktarina Dwi (2026) EEG signal quality analysis of resting states using the MUSE 2 headband for brain-computer interface. In: 10th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2025, 26-27 November 2025, KICT IIUM.

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Abstract

Recent advances in brain–computer interface (BCI) technology have enabled a growing range of real-world applications. Due to its non-invasive nature, affordability, portability, and ease of use, electroencephalography (EEG) remains a widely adopted neuroimaging method for BCI. However, because EEG signals are inherently delicate, and consumer-grade devices are particularly susceptible to noise, inexperienced operators are at heightened risk of recording poorquality data. This study aims to analyze EEG data collected by inexperienced novice operators using the MUSE 2 headband. The primary objectives are: (1) to evaluate the reliability of MUSE 2 for capturing EEG signals, and (2) to determine whether operators with no prior EEG experience can acquire data of acceptable quality. To assess EEG signal quality during resting-state recordings, several quality metrics are employed, including signal shape statistics (mean, standard deviation, skewness, and kurtosis), artifact rate, signal-to-noise ratio (SNR), and line noise power. The results demonstrate that Muse 2 can yield usable EEG data, even when operated by novices.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	brain-computer interface, EEG signal quality, resting states, MUSE 2
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Dini Handayani
Date Deposited:	05 May 2026 15:16
Last Modified:	05 May 2026 15:16
Queue Number:	2026-04-Q3049
URI:	http://irep.iium.edu.my/id/eprint/128623

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