Objective measures of cognitive load are essential for understanding how the brain and body respond to demanding tasks and how meditation modulates these responses. This study examines nonlinear complexity features from electroencephalography (EEG) and heart rate variability (HRV) for distinguishing rest from task states and assessing meditation effects during cognitive tasks. Cognitive load...
The incredible complexity of physiological signals, along with the awareness that physiological time series contains hidden information, has sparked a surge in the interest to conduct neuroscientific research. The human brain is one of the most significant instances of intricate physiologic oscillations as recorded through Electroencephalogram (EEG). In this article, we propose a methodology...