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Swati Singh

4 papers in the library · 4 citations · publishing 2022-2025

Papers

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Meditation Alters Cognitive Load: EEG Fractal-Based Classification and HRV Geometric Assessment

International Conference on Computational Intelligence and Communication Networks December 20, 2025 Swati Singh, Laxmidhar Behera, Suvendu Samanta

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...

Decoding Cognitive Load Changes Induced by Mantra Meditation From Physiological Signals Using Deep Neural Networks

IEEE Sensors Journal November 14, 2025 Swati Singh, Jyotiranjan Beuria, Laxmidhar Behera et al. 4 citations

Mantra meditation is widely recognized for enhancing cognition and autonomic regulation; however, its specific impact on cognitive load remains underexplored. Existing research often relies on subjective assessments or conventional electroencephalogram (EEG) spectral analysis, lacking objective, integrated evaluation frameworks. To address this gap, this study combines physiological signals...

DOI: 10.1109/jsen.2025.3628683 (opens in new tab) Meditation Mantra Heart rate variability Cognitive load +10

Meditative State Classification Using Neuronal Multi-IMF Band Power and Complexity Features

National Conference on Communications February 23, 2023 Swati Singh, V. Gupta, Tharun Kumar Reddy et al.

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...

Meditation and Cognitive Enhancement: A Machine Learning Based Classification Using EEG

IEEE International Conference on Systems, Man and Cybernetics October 9, 2022 Swati Singh, Vinay Gupta, Tharun Kumar Reddy et al.

Meditation methods, which have their origins in ancient traditions are gaining popularity as a result of their potential mental and physical health advantages. EEG neural correlates underlying enhanced cognitive abilities such as sustained attention and working memory need to be analyzed scrutinizingly to evaluate the effects of meditation practices. In this article, we thus provide an analysis...