Quantitative Assessment of Water Scales Impact on the Comprehensive State of Brain Using Virtual Reality

Quantitative Assessment of Water Scales Impact on the Comprehensive State of Brain Using Virtual Reality | 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 Article Quantitative Assessment of Water Scales Impact on the Comprehensive State of Brain Using Virtual Reality Yiming Zhang, Qingbin Li, Xuezhou Zhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4676853/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 The aquatic environment has a significant impact on human physical and mental health. In order to accurately and quantitatively describe the direct effects of different water scales on the human brain, this study used virtual reality technology to conduct an immersive experience at different water scales and assessed the comprehensive state of the brain with the collected metrics of electroencephalogram (EEG) and heart rate variability (HRV) of the subjects. The study established a coupling relationship between the relative area of water with flow rate and the comprehensive brain state through Gaussian Process Regression (GPR) model. The classification model was also implemented to predict the different responses to water scales of populations. Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Hydrology Earth and environmental sciences/Natural hazards 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-4676853","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":333941083,"identity":"e28d8acd-e39d-4b52-be18-036bc98122d2","order_by":0,"name":"Yiming Zhang","email":"","orcid":"","institution":"Tsinghua University","correspondingAuthor":false,"prefix":"","firstName":"Yiming","middleName":"","lastName":"Zhang","suffix":""},{"id":333941084,"identity":"c05fa33f-9be0-4efa-967a-e0c56135906b","order_by":1,"name":"Qingbin Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDElEQVRIiWNgGAWjYDACZhAyYJBhY29gYEgAIyDgIUILDxvPYWK1QHQB1UgkgzmEtfAd5z38uqDgDg+f5PvDHx7uqM0zOH6A8cHbNgZ5cxxaJA/zpVnPMHjGwyadzCaReOZ4scGZBGbDuW0MhjsbsGsxOMxjZswDJEFaGBLbjiVuOJDAJs3bxpBgcICQFsnDzB/AWs4/YP9NQIvxY7AWCWYGicS2msQNNxLYmPFpkQTawjwDpIUn2Qyo5UDizBsPmyXnnJMw3IBDC9/5M8afC/4clpNvP/j448+2usS+88kHP7wps5HHZQvDAQY2CSQuMD4ZGBuAhAR25RAtzB+QuHW4VY6CUTAKRsGIBQAZYFsypFhhYgAAAABJRU5ErkJggg==","orcid":"","institution":"Tsinghua University","correspondingAuthor":true,"prefix":"","firstName":"Qingbin","middleName":"","lastName":"Li","suffix":""},{"id":333941085,"identity":"1a666c71-bc3d-4d10-ad9b-8da7ddf3aaf9","order_by":2,"name":"Xuezhou Zhu","email":"","orcid":"","institution":"Tsinghua University","correspondingAuthor":false,"prefix":"","firstName":"Xuezhou","middleName":"","lastName":"Zhu","suffix":""}],"badges":[],"createdAt":"2024-07-03 01:17:02","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4676853/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4676853/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":64362545,"identity":"ce930451-25f2-4917-b72c-44e9a77129f7","added_by":"auto","created_at":"2024-09-12 07:23:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":684861,"visible":true,"origin":"","legend":"","description":"","filename":"QuantitativeAssessment.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4676853/v1_covered_cdb9dc33-6fff-463a-be45-4b54d9afde24.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Quantitative Assessment of Water Scales Impact on the Comprehensive State of Brain Using Virtual Reality","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"","lastPublishedDoi":"10.21203/rs.3.rs-4676853/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4676853/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe aquatic environment has a significant impact on human physical and mental health. 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