Exploring Ancient Meditative Practices: Insights from Psychometric Data for Brain-Computer Interface Enhancement

Exploring Ancient Meditative Practices: Insights from Psychometric Data for Brain-Computer Interface Enhancement | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 3 July 2025 V1 Latest version Share on Exploring Ancient Meditative Practices: Insights from Psychometric Data for Brain-Computer Interface Enhancement Authors : Kapil Gupta [email protected] , Deepak Kumar Jain 0000-0002-3400-1613 , and Amir Hussain 0000-0002-8080-082X Authors Info & Affiliations https://doi.org/10.22541/au.175154239.96686724/v1 214 views 136 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Background: Meditation practices involve training the mind to focus and redirect thoughts, primarily to increase aware- ness, relaxation, and inner peace. The aim of this work is to compare the impact of three traditional meditation prac- tices, namely, Himalayan Yoga (HP), Isha Shoonya (SNY), and Vipassana (VIP), during a meditative (MED) and instructed mind-wandering (IMW) block with a control (CTR) group. Method: In this work, fourteen psychometric scores obtained from 27 HP, 20 SNY, 20 VIP practitioners, and 32 healthy sub- jects from the CTR group are considered to evaluate the im- pact of meditation. The min-max normalisation technique is employed to eliminate feature dominance. Statistical ex- ploratory data analysis (EDA) is used to draw the heat map of pre-processed scores to segregate the features into four categories, compute and plot the mean value for comparing one feature among all four groups, and compare all features across all the groups. Additionally, we have compared the interplay between MED and IMW blocks. Results: The ob- tained results depict a 30.8% increase in the focus level of SNY practitioners when they performed MED after IMW, whereas contrasting results are shown by HP and VIP medi- Abbreviations: Meditation, Psychometric study, Exploratory data analysis, AI, R-BL tators. The categorical analysis represented the average high- est concentration and uneasiness levels of 0.639 and 0.736, respectively, in HP, with higher distraction (0.550), higher comfort (0.688), and lower uneasiness (0.198) in SNY prac- titioners. Conclusion: This research lays the groundwork for the design of a personalized brain-computer interface sys- tem aimed at reducing mental wandering (MW) and increas- ing the depth of meditation. Supplementary Material File (gupta et al.pdf) Download 738.00 KB Information & Authors Information Version history V1 Version 1 03 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords exploratory data analysis machine learning algorithm. meditation psychometric study Authors Affiliations Kapil Gupta [email protected] UPES School of Computer Science View all articles by this author Deepak Kumar Jain 0000-0002-3400-1613 Dalian University of Technology Graduate School of Education View all articles by this author Amir Hussain 0000-0002-8080-082X Edinburgh Napier University Libraries View all articles by this author Metrics & Citations Metrics Article Usage 214 views 136 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Kapil Gupta, Deepak Kumar Jain, Amir Hussain. Exploring Ancient Meditative Practices: Insights from Psychometric Data for Brain-Computer Interface Enhancement. Authorea . 03 July 2025. DOI: https://doi.org/10.22541/au.175154239.96686724/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 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