Huggins, C. J., Escudero, J., Parra, M. A., Scally, B., Anghinah, R., Vitória Lacerda De Araújo, A., . . . Abasolo, D. (2021). Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing. Journal of neural engineering, 18(4), 46087-46099. https://doi.org/10.1088/1741-2552/ac05d8
Chicago Style (17th ed.) CitationHuggins, Cameron J., Javier Escudero, Mario A. Parra, Brian Scally, Renato Anghinah, Amanda Vitória Lacerda De Araújo, Luis F. Basile, and Daniel Abasolo. "Deep Learning of Resting-state Electroencephalogram Signals for Three-class Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Healthy Ageing." Journal of Neural Engineering 18, no. 4 (2021): 46087-46099. https://doi.org/10.1088/1741-2552/ac05d8.
MLA (9th ed.) CitationHuggins, Cameron J., et al. "Deep Learning of Resting-state Electroencephalogram Signals for Three-class Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Healthy Ageing." Journal of Neural Engineering, vol. 18, no. 4, 2021, pp. 46087-46099, https://doi.org/10.1088/1741-2552/ac05d8.