Gabor Wavelet based Denoising of EEG Signals for Human Mindfulness Assessment under the exposure to Vedic Chanting

Gabor Wavelet based Denoising of EEG Signals for Human Mindfulness Assessment under the exposure to Vedic Chanting | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Gabor Wavelet based Denoising of EEG Signals for Human Mindfulness Assessment under the exposure to Vedic Chanting Veera Raghava Swamy Nalluri, V J K Kishor Sonti This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7107299/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This research presents improved time-frequency analysis of Sanathan Vedic Chanting (SVC) augmentation of human cerebral activity. Listening to music can help manage negative emotions, and since ancient times, there has been a significant improvement in brain neuronal activity. This article examines the effects of Vedic chanting on brain neural activity and relaxing factor estimation, in addition to popular music. During Vedic chanting, the spectrum is estimated at different points in time using Gabor Transforms (GT), and wavelet de-nosing is effectively employed to eliminate undesired high frequencies. By utilising an efficient mother wavelet selection approach during the de-noising phase, the noise removal procedure in the proposed work is significantly enhanced. Among the usual OM chanting and Gayatri mantra, Rudra Suktham from Yajurveda is investigated using the proposed GT analysis, and EEG signals are collected from various age groups. The signals are processed using proposed algorithm in MATLAB programming. EEG Signals Gabor Transforms Rudra Suktham Alpha Wave Spectral Technique Wavelet De-Noising Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7107299","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":485234812,"identity":"b4c3bd05-e6d1-439b-98b7-3dde714631b9","order_by":0,"name":"Veera Raghava Swamy Nalluri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/0lEQVRIiWNgGAWjYHACNmSODRAzNh4gRUsaSEsDSVoOg0m8Wszbj1978LPNzt7g+Ok06cK283Zr2w8DbamxicalReZMTrlhb1ty4oYzudukZ7bdTt52JhGo5VhabgMOLRIMOWkSPGeYE8wOALXwnLmdbHYAqIWx4TBuLfxv0iT/nKm3Nzv/FqTlXLLZ+YcEtEikH5PmqTjMuO0GyJaKA3ZmNwjZIvGGTVqm4nji/htvN1vzVCQnmN0A2pKAzy/86c8k3xhU20v25268zWNgB3Rh+sMHH2pscGphYOAxgLFYJIBEIlhlAk7lIMD+AMZi/gAk7PEqHgWjYBSMghEJAJ+3Y6zibOgnAAAAAElFTkSuQmCC","orcid":"","institution":"Sathyabama Institute of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Veera","middleName":"Raghava Swamy","lastName":"Nalluri","suffix":""},{"id":485234813,"identity":"c681bde3-07ed-4ac1-8164-5294afdee5fd","order_by":1,"name":"V J K Kishor Sonti","email":"","orcid":"","institution":"Sathyabama Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"V","middleName":"J K Kishor","lastName":"Sonti","suffix":""}],"badges":[],"createdAt":"2025-07-12 09:53:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7107299/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7107299/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":86744571,"identity":"3e01734d-2817-400d-ac25-759ff1caabb8","added_by":"auto","created_at":"2025-07-15 07:36:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2143670,"visible":true,"origin":"","legend":"","description":"","filename":"MainDocumentSCI1modified.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7107299/v1_covered_a04bad2f-c377-4e0e-aa6c-104bc53cdf04.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Gabor Wavelet based Denoising of EEG Signals for Human Mindfulness Assessment under the exposure to Vedic Chanting","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"EEG Signals, Gabor Transforms, Rudra Suktham, Alpha Wave, Spectral Technique, Wavelet De-Noising","lastPublishedDoi":"10.21203/rs.3.rs-7107299/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7107299/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis research presents improved time-frequency analysis of Sanathan Vedic Chanting (SVC) augmentation of human cerebral activity. 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