Laura Päeske

Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis

Maie Bachmann, Laura Päeske, Kaia Kalev et al. · Computer Methods and Programs in Biomedicine · 2017 · 232 citations

Nursing, Neuroscience, Psychiatry +14

Ensemble Approach for Detection of Depression Using EEG Features

Egils Avots, Klāvs Jermakovs, Maie Bachmann et al. · Entropy · 2022 · 63 citations · Full text

Computing, Neuroscience, Psychiatry +17

Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

Laura Päeske, Maie Bachmann, Toomas Põld et al. · Frontiers in Physiology · 2018 · 17 citations · Full text

Engineering, Biomedical Engineering, Neuroscience +17

Correlation between electroencephalographic markers in the healthy brain

Laura Päeske, Tuuli Uudeberg, Hiie Hinrikus et al. · Scientific Reports · 2023 · 16 citations · Full text

Life Sciences, Neuroscience, Psychiatry +17

Negative Correlation Between Functional Connectivity and Small-Worldness in the Alpha Frequency Band of a Healthy Brain

Laura Päeske, Hiie Hinrikus, Jaanus Lass et al. · Frontiers in Physiology · 2020 · 12 citations · Full text

Life Sciences, Neurobiology, Neuroscience +16