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EEG-based Deep Emotional Diagnosis: A Comparative Study
Published in Richard Jiang, Li Zhang, Hua-Liang Wei, Danny Crookes, Paul Chazot, Recent Advances in AI-enabled Automated Medical Diagnosis, 2022
Geyi Liu, Zhaonian Zhang, Richard Jiang, Danny Crookes, Paul Chazot
People can observe brain waves in different frequency ranges through EEG and brain waves differ, depending on the information or instructions they convey [16]. For instance, high frequency brain waves can be observed when people are happy or excited. On the other hand, low frequency brain waves can be observed when people feel lazy or bored. According to the frequency range, EEG can be divided into five types as shown in Table 2 [17]. Gamma wave is closely related to learning, memory and information processing. Beta waves are associated with arousal. Too much stress and anxiety will be evident in the beta band. Alpha is the frequency range between beta and theta. This band is related to the state when we relax. Theta is involved in sleep. Too much θ activity may predispose people to depression. Delta is not our focus in this study because it is associated with the deepest levels of sleep and relaxation.
Evaluating the Impact of Sleep Disruptions in Women through Automated Analysis
Published in Erick C. Jones, Supply Chain Engineering and Logistics Handbook, 2020
Shalini Gupta, Felicia Jefferson, Erick C. Jones
As per the studies conducted earlier, gamma waves depict learning, memory, and information processing capability associated with cognitive functioning, and higher processing tasks require 40 Hz gamma waves for achieving needed level of perception and grasping power [1]. In particular, below average level of gamma wave causes mental disability and slow learning disorders [2]. However, beta waves are high-frequency and low-amplitude waves that can be in the awakening state of brain. They are commonly associated with conscious thoughts, logical thinking and demonstrate stimulating effect [101].
Brain–Computer Interface Games Based on Consumer-Grade EEG Devices: A Systematic Literature Review
Published in International Journal of Human–Computer Interaction, 2020
Gabriel Alves Mendes Vasiljevic, Leonardo Cunha de Miranda
The beta waves (from 12 to 30 Hz) are related to motor activities (Nicolas-Alonso & Gomez-Gil, 2012). They are predominantly found in the frontal and parietal lobes, primarily in the pre-frontal cortex, and can be further subdivided into low-beta or beta-1 (12 to 16 Hz), (mid-)beta or beta-2 (16 to 20 Hz) and high-beta or beta-3 (20 to 30 Hz), with range definitions varying among studies. Beta waves are known to be synchronized and have a symmetrical distribution when there are no motor activities in progress, and become desynchronized and change its symmetry when the sight, the imagination or the performance of a motor activity occurs (Pfurtscheller & Neuper, 2002). They are also related to intense cognitive activity. The gamma waves (over 30 Hz) are related to the simultaneous processing of information from various regions of the brain, such as the perception of auditory and visual stimuli, and motor functions.
Can EEG-devices differentiate attention values between incorrect and correct solutions for problem-solving tasks?
Published in Journal of Information and Telecommunication, 2022
There has been extensive research on the connection between EEG signals and selective attention. Concerning the EEG-Alpha metric, alpha desynchronization (the decrease in the amplitude of the alpha waves and increase in frequency) is said by most authors to reflect attentional processes (Aftanas & Golocheikine, 2001; Gould et al., 2011; Herrmann & Knight, 2001; Herrmann et al., 2016; Klimesch et al., 1998). Other studies concluded that EEG-Alpha activity increases when rejection tasks are performed whereby someone completes a cognitive task and is internally attentive (Ray & Cole, 1985). EEG-Gamma waves are said to increase as a result of cognitive processing in response to a stimulus (Herrmann et al., 2016; Herrmann & Knight, 2001).