SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation - Mikhaylets, Ekaterina; Razorenova, Alexandra M.; Chernyshev, Vsevolod; Syrov, Nikolay; Yakovlev, Lev; Boytsova, Julia; Kokurina, Elena; Zhironkina, Yulia; Medvedev, Svyatoslav; Kaplan, Alexander (Frontiers in neuroinformatics, 2024)
Keywords: Algorithms; Buddhism; Clustering; Cognitive ability; Datasets; EEG; Experiments; information value; Mathematical models; Meditation; meditation practice; Monks; Neural networks; Neuroscience; Questionnaires; Statistical analysis; Time series; Trends; unsupervised data annotation; Ward's method; unsupervised data annotation; change point detection; functional states; meditation practice; EEG; Ward's method; information value; clustering