Different types of EEG in correlation with special groups of senile dementiadoi:10.1016/0013-4694(85)90754-0H. BoehmerL. GutjahrElsevier Ireland Ltd.Electroencephalography and Clinical Neurophysiology
For example, electroencephalography (EEG; Antonenko et al., 2010), functional magnetic resonance imaging (fMRI; Whelan, 2007), heart rate variability(HRV; Cranford et al., 2014; Minkley et al., 2018; Solhjoo et al., 2019), galvanic skin response (GSR; Conway et al., 2013; Larmuseau...
the interplay of various cell types in fine-tuning these spatiotemporal patters remains unclear. Here, we performed comprehensive exploration of spatiotemporal synchronizing structures across different cell types, states (awake, anesthesia, motion) and developmental...
The results for cognitive enhancers of all neurotransmitter systems taken together on overall cognition showed a significant effect. Although statistical significance was reached, the small size of the effect prevents a positive recommendation for their clinical use as of yet, as the small improvement i...
model heads with EEG electrodes different types EEG headset equipment on purple background EEG equipment,站酷海洛,一站式正版视觉内容平台,站酷旗下品牌.授权内容包含正版商业图片、艺术插画、矢量、视频、音乐素材、字体等,已先后为阿里巴巴、京东、亚马逊、小米
model heads with EEG electrodes different types EEG headset equipment on purple background EEG equipment,站酷海洛,一站式正版视觉内容平台,站酷旗下品牌.授权内容包含正版商业图片、艺术插画、矢量、视频、音乐素材、字体等,已先后为阿里巴巴、京东、亚马逊、小米
The EEG (Electroencephalogram) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about the state of the brain. However, the human observer can not directly monitor these subtle details. Besides, since bio-signals...
A sleep EEG of 190 patients without sleep deprivation was recorded, followed by a sleep EEG after 24 h of sleep deprivation on the next day. The patients suffered from various types of epilepsy, in their routine EEGs no epileptic discharges were seen. Both sleep EEGs were recorded under the...
Motor Imagery is a classical method of Brain Computer Interaction, in which electroencephalogram (EEG) signal features evoked by the imaginary body movements are recognized, and relevant information is extracted. Recently, various deep learning methods a
(2018) 13 8 64 International Archives of Occupational and Environmental Health (2021) 94:855–866 in which the authors trained an algorithm to predict with better than chance results, based on EEG data, whether par- ticipants belonged to a high stress (DSI types overstressed or HSHC) or ...