Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods

MLA

Markos G. Tsipouras, et al. “Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods.” Diagnostics, vol. 11, Aug. 2021, p. 1437. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....0fc6b831050cfee837cde574f85a34ed&authtype=sso&custid=ns315887.

APA

Markos G. Tsipouras, Katerina D. Tzimourta, Panagiotis Ioannidis, Nikolaos Giannakeas, Alexandros T. Tzallas, Andreas Miltiadous, & Theodora Afrantou. (2021). Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods. Diagnostics, 11, 1437.

Chicago

Markos G. Tsipouras, Katerina D. Tzimourta, Panagiotis Ioannidis, Nikolaos Giannakeas, Alexandros T. Tzallas, Andreas Miltiadous, and Theodora Afrantou. 2021. “Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods.” Diagnostics 11 (August): 1437. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....0fc6b831050cfee837cde574f85a34ed&authtype=sso&custid=ns315887.