A review on the current state of artifact removal methods for electroencephalogram signals by Abd. Rahman, Faridah, Othman, Mohd. Fauzi, Shaharuddin, Aimi

“…The presence of the artifacts, which overlap with signal obtained from the brain, will make it difficult to analyze the information from EEG recordings and may lead to false interpretation of brain activity. In order to obtain such accurate and reliable signal information from EEG, the development of algorithms to identify and remove the artifacts from the signals is necessary. …”

The effects of neurofeedback on Event Related Potential (ERP) in zikr meditation by Helman, Nur Arina Ayuni, Mohammed Amin, Muhamad Kamal

“…The study of human brain activity using electroencephalogram (EEG) is a growing multidisciplinary field that links electronics, psychology and cognitive science to learn the effect of human brainwave activities in various fields e.g. meditation. …”

The implementation of EEG transfer learning method using integrated selection for motor imagery signal by Ramadhani, A., Fauzi, H., Wijayanto, I., Rizal, A., Shapiai, M. I.

“…Brain-computer interface (BCI) is a system that can translate, manage, and recognize human brain activity. One of the devices used in the BCI system is Electroencephalogram (EEG). …”

Stimulation the prefrontal cortex by EEG-neurofeedback training in high body mass index individuals by Alhiyali, Mohammed Isam, Ishak, Asnor Juraiza, Harun @ Ramli, Hafiz Rashidi, Ahmad, Siti Anom, Wan Sulaiman, Wan Aliaa

“…However, the EEG-neurofeedback training is one of neuromodulation techniques that utilizes a real-time display of EEG signal to learn self-regulation of brain activity. The design of present study is randomized control trial, ten healthy students with high body mass index were recruited to participate in study. …”
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Discrete wavelet packet transform for electroencephalogram-based emotion recognition in the valence-arousal space by Ahmad, Farzana Kabir, Olakunle, Oyenuga Wasiu

“…Human emotion recognition is the key step toward innovative human-computer interactions.The advanced in computational algorithms and techniques has recently offered the promising results in recognizing human emotion.Recently, Electroencephalogram (EEG) has been shown as an effective way in identifying human emotion since it records the brain activity of human and can hardly be deceived by voluntary control.However, due to the non-linearity, non-stationary, and chaotic nature of the EEG signals, it is difficult to be examined and has been an extensive research area in the present years. …”
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The classification of electrooculography signals: A significant feature identification via mutual information by Hwa, Phua Jia, Mahendra Kumar, Jothi Letchumy, Rashid, Mamunur, Musa, Rabiu Muazu, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

“…Brain-Computer Interface (BCI) is a system that can acquire and transform brain activity into readable outputs. This system is particularly beneficial to the people who encounter physical challenges in carrying out their daily life as the BCI outputs can be applied to BCI-based assistive devices. …”
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Identifying individuals using EEG-based brain connectivity patterns by Hussain, Hadri, Ting, Chee Ming, A. Jalil, M., Ray, Kanad, Rizvi, S. Z. H., Kavikumar, J., M. Noman, Fuad, Ahmad Zubaidi, A. L., Low, Yin Fen, Sh. Hussain, Sh. Hussain, Mahmud, Mufti, Kaiser, M. Shamim, Ali, J.

“…In this paper the focus of investigation is the use of brain activity as a new modality for identification. Univariate model biometrics such as speech, heart sound and electrocardiogram (ECG) require high-resolution computer system with special devices. …”

A simple design of a Matlab-Based function for topographical presentation of FNIRS Data by Ferdous, Talukdar Raian, Hasan, Rifath, Alam, Mohammad Khurshed, Islam, Muhammad Muinul, Rahman, Md Asadur

“…Brain activation pattern based on the recorded fNIRS data is created in the form of a color-coded map. …”
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21st Century Librarians At The Crossroads: Specialized Competencies Needed by Ismail, Saidatul Akmar, Shahibi, Mohd. Sazili

“…With the advancement of the Internet and online technologies, the traditional prosess of library work and the advancement of the technologies have to be integrated and require a certain type of thinking skills which involve the left-and right-brain activities. This paper attempts to highlight the processes of thinking that seem necessary for the libraries of today to manage technology effectively. …”
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Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm by Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Asrul, Adam, Norrima, Mokhtar, Marizan, Mubin, Mohd Ibrahim, Shapiai

“…Peak detection is a significant step in analyzing the electroencephalography (EEG) signal because peaks may represent meaningful brain activities. Several approaches can be used for peak point detection such as time domain, frequency domain, time-frequency domain, and nonlinear approaches. …”
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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier by Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

“…It is widely known as a non-invasive, reliable, and affordable way of recording the brain activities. It has become the most wanted way of diagnosis and treatment for mental and brain neurogenerative diseases and abnormalities. …”
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