Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/160325| Title: | Enhancing EEG-based classification of depression patients using spatial information | Authors: | Jiang, Chao Li, Yingjie Tang, Yingying Guan, Cuntai |
Keywords: | Engineering::Computer science and engineering | Issue Date: | 2021 | Source: | Jiang, C., Li, Y., Tang, Y. & Guan, C. (2021). Enhancing EEG-based classification of depression patients using spatial information. IEEE Transactions On Neural Systems and Rehabilitation Engineering, 29, 566-575. https://dx.doi.org/10.1109/TNSRE.2021.3059429 | Journal: | IEEE Transactions on Neural Systems and Rehabilitation Engineering | Abstract: | Depression has become a leading mental disorder worldwide. Evidence has shown that subjects with depression exhibit different spatial responses in neurophysiological signals from the healthy controls when they are exposed to positive and negative stimuli. | URI: | https://hdl.handle.net/10356/160325 | ISSN: | 1534-4320 | DOI: | 10.1109/TNSRE.2021.3059429 | Schools: | School of Computer Science and Engineering | Rights: | © 2021 The Authors. Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SCSE Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Enhancing EEG-Based Classification of Depression Patients Using Spatial Information.pdf | 3.03 MB | Adobe PDF |  View/Open |
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