This study builds on brief focused mindfulness meditation (BFMM) to examine its associations with physiological indices and electroencephalographic (EEG) neural features related to stress in young adults. In addition, deep learning models are employed to identify complex, nonlinear patterns in EEG signals during BFMM, aiming to determine the most effective classification model. Twenty-nine...
Yongxin Luo, Yaoyao Zhang, Yuqing Zhai et al.
preprint
Abstract Our study seeks to investigate the neural mechanisms underlying brief mindfulness meditation through the utilization of electroencephalogram (EEG) recordings and machine learning techniques. Twenty-four participants underwent mindfulness training, with pre- and post-practice physiological assessments and EEG recordings. Deep learning was used to analyze EEG data to predict mindfulness...