Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline

Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline

Abstract This study focuses on classifying multiple sessions of loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data. This novel study focuses on using multiple sessions of EEG data from a single individual to train a machine learning pipeline, and then using a new s...

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Bibliographic Details
Main Authors: Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Brain Informatics
Subjects:
Machine learning
Classification
BCI (brain computer interface)
EEG (Electroencephalography)
Loving kindness meditation (LKM)
Multiple session
Online Access:https://doi.org/10.1186/s40708-025-00251-4
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https://doi.org/10.1186/s40708-025-00251-4

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