Evaluation of Mental State Based on EEG Signals Using Machine Learning Algorithm
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62520-6_27
Reference8 articles.
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2. Santomauro, D.F., Mantilla Herrera, A.M., Shadid, J., Zheng, P., Ashbaugh, C., Pigott, D., et al.: Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 398(10312), 1700–1712 (2021). https://doi.org/10.1016/S0140-6736(21)02143-7
3. De Aguiar Neto, F.S., Rosa, J.L.G.: Depression biomarkers using non-invasive EEG: a review. Neurosci. Biobehav. Rev. 105, 83–93 (2019)https://doi.org/10.1016/j.neubiorev.2019.07.021
4. Cavanagh, J.F., Bismark, A.W., Frank, M.J., Allen, J.J.B.: Multiple dissociations between comorbid depression and anxiety on reward and punishment processing: evidence from computationally informed EEG. Comput. Psychiatry 3, 1 (2019). https://doi.org/10.1162/CPSY_A_00024
5. MDD Patients and healthy controls EEG data (New). https://figshare.com/articles/dataset/EEG_Data_New/4244171. Accessed 15 Jan 2023
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