QR-kod

SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation

The study presents a novel approach designed to detect time-continuous states in time-series data, called the State-Detecting Algorithm (SDA). The SDA operates on unlabeled data and detects optimal change-points among intrinsic functional states in time-series data based on an ensemble of Ward's hie...

Full beskrivning

Sparad:
Huvudupphov: Ekaterina Mikhaylets, Alexandra M. Razorenova, Vsevolod Chernyshev, Nikolay Syrov, Lev Yakovlev, Julia Boytsova, Elena Kokurina, Yulia Zhironkina, Svyatoslav Medvedev, Alexander Kaplan
Materialtyp: Artigo
Språk:Inglês
Utgiven: Frontiers Media S.A. 2024-01-01
Serie:Frontiers in Neuroinformatics
Ämnen:
EEG
clustering
unsupervised data annotation
information value
meditation practice
Ward's method
Länkar:https://www.frontiersin.org/articles/10.3389/fninf.2023.1301718/full
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk