Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis. - Maie Bachmann; Laura Päeske; Kaia Kalev; Katrin Aarma; Andres Lehtmets; Pille Ööpik; Jaanus Lass; Hiie Hinrikus (Comput. Methods Programs Biomed., 2018)

Reliability of Electroencephalogram-Based Individual Markers - Case Study. - Tuuli Uudeberg; Laura Päeske; Hiie Hinrikus; Jaanus Lass; Maie Bachmann (EMBC, 2020)

Changes in EEG Measures of a Recipient of the mRNA COVID-19 Vaccine - A Case Study. - Tuuli Uudeberg; Hiie Hinrikus; Laura Päeske; Jaanus Lass; Maie Bachmann (EMBC, 2022)

Ensemble Approach for Detection of Depression Using EEG Features. - Egils Avots; Klavs Jermakovs; Maie Bachmann; Laura Päeske; Cagri Ozcinar; Gholamreza Anbarjafari (Entropy, 2022)

Correlation Between EEG Functional Connectivity and Fasting Blood Glucose in Healthy Subjects. - Laura Päeske; Hiie Hinrikus; Jaanus Lass; Toomas Põld; Maie Bachmann (EMBC, 2024)

In-phase matrix profile: A novel method for the detection of major depressive disorder. - Tuuli Uudeberg; Juri Belikov; Laura Päeske; Hiie Hinrikus; Innar Liiv; Maie Bachmann (Biomed. Signal Process. Control., 2024)