{"id":5482,"date":"2024-11-12T10:52:48","date_gmt":"2024-11-12T08:52:48","guid":{"rendered":"https:\/\/healthandfood.taltech.ee\/?post_type=research&#038;p=5482"},"modified":"2025-04-29T17:50:06","modified_gmt":"2025-04-29T14:50:06","slug":"brain-bioelectrical-signals-research-group","status":"publish","type":"research","link":"https:\/\/healthandfood.taltech.ee\/en\/researches\/brain-bioelectrical-signals-research-group\/","title":{"rendered":"Brain bioelectrical signals research group"},"content":{"rendered":"<p>The research group is experienced in the interdisciplinary area of information technology and brain physiology. The studies are aimed to detect and interpret the features in the brain electroencephalography (EEG) signal characteristic for mental disorder (e.g. depression), occupational and\/or environmental stressors comprising the advanced methods of signal analysis and the knowledge about brain neuronal activity. An original Spectral Asymmetry Index (SASI) has been developed and proved as a promising method in various applications.<\/p>\n<p>Main results<\/p>\n<ul>\n<li>by applying EEG-based objective measures it is feasible to detect the changes and recovery caused by mRNA COVID-19 vaccine;<\/li>\n<li>there is no threshold for the biological or health effects of radio frequency radiation, while the health risk can be minimized by linking the health protection limit values to the level of radiation, in which no significant health effects have been noticed during a long period of exposure (6 V\/m).<\/li>\n<\/ul>\n<p>More information: <a href=\"https:\/\/taltech.ee\/en\/biosignal-processing-laboratory\">Homepage<\/a><\/p>\n<p style=\"display: none;\">brain disorders, depression, EEG, electroencephalography, signal processing<\/p>\n","protected":false},"template":"","tags":[1484,1518,1551,1559,1733],"research_cat":[2055],"class_list":["post-5482","research","type-research","status-publish","hentry","tag-eeg-en","tag-brain-disorders","tag-depression","tag-electroencephalography","tag-signal-processing","research_cat-faculty-of-information-technology"],"acf":{"research_manager":4761,"related_team":[4560,4598,4729,5041,4971,13255,13259,13258,13261]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Brain bioelectrical signals research group - Health and Food Technologies<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/healthandfood.taltech.ee\/en\/researches\/brain-bioelectrical-signals-research-group\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Brain bioelectrical signals research group - Health and Food Technologies\" \/>\n<meta property=\"og:description\" content=\"The research group is experienced in the interdisciplinary area of information technology and brain physiology. The studies are aimed to detect and interpret the features in the brain electroencephalography (EEG) signal characteristic for mental disorder (e.g. depression), occupational and\/or environmental stressors comprising the advanced methods of signal analysis and the knowledge about brain neuronal activity. 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The studies are aimed to detect and interpret the features in the brain electroencephalography (EEG) signal characteristic for mental disorder (e.g. depression), occupational and\/or environmental stressors comprising the advanced methods of signal analysis and the knowledge about brain neuronal activity. 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