脑电图
计算机科学
频域
焦虑
同步
BETA(编程语言)
压力(语言学)
吸引子
振荡(细胞信号)
能量(信号处理)
大脑活动与冥想
频带
人工智能
神经科学
心理学
电信
数学
统计
计算机视觉
哲学
数学分析
精神科
生物
程序设计语言
遗传学
语言学
带宽(计算)
传输(电信)
作者
Hernán Díaz M.,Fernando Maureira Cid,Jaime Otárola,Roberto Rojas,O.M. Alarcón,Lucio Cañete
标识
DOI:10.1016/j.procs.2019.12.075
摘要
The study presents a frequency domain, instead of a relative power intensity comparison framework domain, that evaluates the degree of anxiety and stress brain network activated in high beta oscillation (22-30 Hz), during a resting, EC basal condition of EEG recording. The parameter measured served as an evaluator of the brain spontaneous, self-generated, global de-synchronizing, workload endogenous attractors that displace the EEG oscillatory dynamics toward free energy-consuming processing loops. The distinction of the high beta EEG waves as related with stress and anxiety, together with an approach based primarily on the inter-channel frequency correlation, rather than only the power activation of the frequency beta range, allowed us to supplement with new finding and ways to evaluate the impact of self-generated processing attractors that kept our brain apart from natural tendency to re-synchronize, save and reorganize energy.
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