Diagnostic tools for rapid eye movement sleep behaviour disorder by Cooray, N

“…A total of 159 features were calculated using Electroencephalography (EEG), Electrooculography (EOG), and Electromyography (EMG) signals. …”

Quantifying brain maturation in the preterm baby from EEG sleep analyses by Pillay, K

“…This is not easily detected by existing methods in the NICU, though Electroencephalography (EEG) is emerging as a promising modality to capture such deviations through the maturation of sleep. …”

Four-class emotion classification in virtual reality using pupillometry by Lim Jia Zheng, James Mountstephens, Jason Teo

“…The large majority of emotion classifcation studies rely on electroencephalography (EEG) and/or electrocardiography (ECG) signals and only classifes the emotions into two or three classes. …”
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Analysis of Human’s Attention Value in Gender and Age Category using Mindwave Mobile by Norasyimah Sahat, Afishah Alias, Fouziah Md Yassin

“…The purpose of this paper is to analyze the human’s attention value in age and gender category for improving the mind-controlled robot movement. An electroencephalography (EEG) device called Mindwave Mobile is used to get the attention value generated by humans in the different type of gender (male, female) and age category (children, teenager, adult). …”
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Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification by Sobhan Sheykhivand, Tohid Yousefi Rezaii, Zohreh Mousavi, Azra Delpak, Ali Farzamnia

“…Identifying seizure activities in non-stationary electroencephalography (EEG) is a challenging task since it is time-consuming, burdensome, and dependent on expensive human resources and subject to error and bias. …”
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Support vector machine tuning for improving four-quadrant emotion prediction in Virtual Reality (VR) using wearable Electrodermography (EDG) by A F Bulagang, Mountstephens, James, Teo, Jason Tze Wi

“…Electrodermography (EDG) / Galvanic Skin Response (GSR) indicates the psychophysiological of emotion, EDG is an emerging signal used in the field of emotion classification aside from Electroencephalography (EEG) and Electrocardiography (ECG). …”
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Facial Expression Effect on Signal Quality and the Attention Level of Mind wave by Fouziah Md Yassin, Muhammad Shadli Latip, Saturi Baco, Afishah Alias, Ag Asri Ag Ibrahim

“…The ability of single electrode electroencephalography (EEG) device such as Neurosky Mind wave has been widely explored in the field of Brainwave Computer Interface (BCI). …”
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Using reissner-nordstrom solution for modeling epileptic seizures by Ismail, Noraini

“…These charges of electric pulses arrive finally at the scalps, and are recorded as electroencephalography (EEG) voltage signals. Modeling this event poses challenges since seizures might start at other locations at the same instant. …”
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The Two-Brains Hypothesis: Towards a guide for brain-brain and brain-machine interfaces by Goodman, Geoffrey, Poznanski, Roman R., Cacha, Lleuvelyn A., Bercovich, Dani

“…Thus, noninvasive electroencephalography (EEG) recordings of motor signals at the scalp, representing specific motor intention of hand moving in individual humans, were fed as repetitive transcranial magnetic stimulation (rTMS) at a maximum intensity of 2.0T through a circular magnetic coil placed flush on each of the heads of subjects present at a different location. …”

Cognitive function assessment in young adult based on mental arithmetic trail making and stroop tasks by Hashim, Syazreen

“…This study determines the cortico-cortical FC between brain regions using Partial Directed Coherence (PDC) and investigates the Power Spectral Density (PSD) of brain activity while performing cognitive function assessments. 20 young Malaysian adults were asked to perform three tasks/tests: Mental Arithmetic task (updating), Trail Making Test (shifting); Trailing A and B, and Stroop task (inhibition). Electroencephalography machine was used to record brain signals, and the data were analysed using PDC and PSD. …”
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Brain-computer interface algorithm based on wavelet-phase stability analysis in motor imagery experiment by Mohd. Rafi, Muhamad Firdaus, A. Harris, Arief Ruhullah, Tan, Tian Swee, Leong, Kah Meng, Tan, Jia Hou, Kelvin, Ling Chia Hiik, Tengku Alang, Tengku Ahmad Iskandar, Yahya, Azli, Joyce, Sia Sin Yin, Matthias, Tiong Foh Thye, Malik, Sameen Ahmed

“…To overcome these issues, Brain- Computer Interface system is introduced in which one of its modalities is to translate thought via electroencephalography (EEG) signals by the user and generating desired output directly to an external artificial control device or human augmentation. …”
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Assessment of neurophysiological parameters of the nervous system in non-ferrous foundry workers by E.V. Bakhtereva, E.L. Leiderman, E.G. Plotko, T.A. Riabkova

“…All subjects underwent a neurocognitive examination (higher brain function testing), electroneuromyography, the somatosensory evoked response test, and electroencephalography. The results of examining the higher brain function enabled us to form the neurocognitive profile of the workers. …”
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Caffeine, Postoperative Delirium And Change In Outcomes after Surgery (CAPACHINOS)-2: protocol for a randomised controlled trial by Eva M Schmitt, George A Mashour, Sharon K Inouye, Graciela Mentz, Elizabeth Jewell, Jacqueline Ragheb, Amy McKinney, Phillip E Vlisides, Nathan Runstadler, Selena Martinez, UnCheol Lee, Giancarlo Vanini

“…A substudy analysis will also be conducted with high-density electroencephalography (72-channel system) to identify neural abnormalities associated with delirium and Mild Cognitive Impairment at preoperative baseline.Ethics and dissemination This study was approved by the University of Michigan Medical School Institutional Review Board (HUM00218290). …”
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Foreign speech sound discrimination and associative word learning lead to a fast reconfiguration of resting-state networks by Stefan Elmer, Mireille Besson, Antoni Rodriguez-Fornells, Nathalie Giroud

“…To address these research questions, we used electroencephalography (EEG), measured forty participants, and examined scalp-based power spectra, source-based spectral density maps and functional connectivity metrics before (RS1), in between (RS2) and after (RS3) a series of tasks which are known to facilitate the acquisition of new words in a foreign language, namely word discrimination, word-referent mapping and semantic generalization. …”
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Inferring multi-scale neural mechanisms with brain network modelling by Michael Schirner, Anthony Randal McIntosh, Viktor Jirsa, Gustavo Deco, Petra Ritter

“…Simulated populations were linked by structural connectivity and, as a novelty, driven by electroencephalography (EEG) source activity. Simulations not only predicted subjects' individual resting-state functional magnetic resonance imaging (fMRI) time series and spatial network topologies over 20 minutes of activity, but more importantly, they also revealed precise neurophysiological mechanisms that underlie and link six empirical observations from different scales and modalities: (1) resting-state fMRI oscillations, (2) functional connectivity networks, (3) excitation-inhibition balance, (4, 5) inverse relationships between α-rhythms, spike-firing and fMRI on short and long time scales, and (6) fMRI power-law scaling. …”
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Personalized modeling of Alzheimer's disease progression estimates neurodegeneration severity from EEG recordings by Lorenzo Gaetano Amato, Alberto Arturo Vergani, Michael Lassi, Carlo Fabbiani, Salvatore Mazzeo, Rachele Burali, Benedetta Nacmias, Sandro Sorbi, Riccardo Mannella, Antonello Grippo, Valentina Bessi, Alberto Mazzoni

“…In a monocentric study we collected electroencephalography (EEG) recordings at rest from participants in healthy (HC, n = 17), subjective cognitive decline (SCD, n = 58), and mild cognitive impairment (MCI, n = 44) conditions. …”
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Alterations of auditory-evoked gamma oscillations are more pronounced than alterations of spontaneous power of gamma oscillation in early stages of schizophrenia by Mariko Tada, Kenji Kirihara, Daisuke Koshiyama, Tatsuya Nagai, Mao Fujiouka, Kaori Usui, Yoshihiro Satomura, Shinsuke Koike, Kingo Sawada, Jun Matsuoka, Kentaro Morita, Tsuyoshi Araki, Kiyoto Kasai

“…The auditory steady-state response (ASSR) and spontaneous power of gamma oscillations measured as induced power during the ASSR period were calculated using electroencephalography during 40-Hz auditory click-trains. …”
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Identification of Lower-Limb Motor Tasks via Brain–Computer Interfaces: A Topical Overview by Víctor Asanza, Enrique Peláez, Francis Loayza, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez

“…Particularly, the conventional pattern recognition (PR) systems are one of the most suitable computational tools for electroencephalography (EEG) signal analysis as the explicit knowledge of the features involved in the PR process itself is crucial for both improving signal classification performance and providing more interpretability. …”
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Oral Administration of <i>Armillaria mellea</i> Mycelia Promotes Non-Rapid Eye Movement and Rapid Eye Movement Sleep in Rats by I-Chen Li, Ting-Wei Lin, Tung-Yen Lee, Yun Lo, Yih-Min Jiang, Yu-Hsuan Kuo, Chin-Chu Chen, Fang-Chia Chang

“…They were treated orally with vehicle, 75 and 150 mg/kg doses of water and ethanolic extracts 15 min prior to the onset of dark (active) period. Electroencephalography results showed that the low dose of <i>A. mellea</i> mycelia water extract increased REM sleep time while the high dose enhanced both REM and NREM sleep times during the subsequent light (rest) period. …”
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Hemispheric Asymmetry of Functional Brain Networks under Different Emotions Using EEG Data by Rui Cao, Huiyu Shi, Xin Wang, Shoujun Huo, Yan Hao, Bin Wang, Hao Guo, Jie Xiang

“…Brain network analysis based on electroencephalography (EEG) is a useful biological method to study brain function. …”
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