SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation
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DOI: 10.3389/fninf.2023.1301718
Abstract: 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… read more here.
Keywords: guhyasamaja meditation; data driven; states applied; functional states ... See more keywords