21.9 A wearable EEG-HEG-HRV multimodal system with real-time tES monitoring for mental health management
Recently, wearable mental health management systems have been actively studied based on EEG monitoring and transcranial electrical stimulation (tES) [1]. It was reported that mental activities cause neural, vascular and autonomie domain changes in the human brain [2]. However, the previous neurofeed...
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Published in | 2015 IEEE International Solid State Circuits Conference (ISSCC) pp. 1 - 3 |
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Main Authors | , , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
IEEE
01.02.2015
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Subjects | |
Online Access | Get full text |
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Summary: | Recently, wearable mental health management systems have been actively studied based on EEG monitoring and transcranial electrical stimulation (tES) [1]. It was reported that mental activities cause neural, vascular and autonomie domain changes in the human brain [2]. However, the previous neurofeedback system [1] used only neural domain information with low spatial resolution (~10cm) EEG signals. Furthermore, EEG signals are easily interfered by tES stimulation signal, eye-blinking and EMG signals so that it is difficult to monitor in real-time during stimulation and to avoid electromagnetic noise for accurate mental health classification. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Conference-1 ObjectType-Feature-3 content type line 23 SourceType-Conference Papers & Proceedings-2 |
ISBN: | 1479962236 9781479962235 |
ISSN: | 0193-6530 2376-8606 |
DOI: | 10.1109/ISSCC.2015.7063093 |