Design and development of IoT-based wearable smart Exo-Vest for analysis of upper limb dynamics

Design and development of IoT-based wearable smart Exo-Vest for analysis of upper limb dynamics | 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 Design and development of IoT-based wearable smart Exo-Vest for analysis of upper limb dynamics Pritam Chakraborty, Biswarup Neogi, Achintya Das This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4813151/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 04 Oct, 2024 Read the published version in Microsystem Technologies → Version 1 posted 9 You are reading this latest preprint version Abstract This article describes the principles of design and development of an IoT- based wearable smart Exo-Vest (SWEV), which is used for monitoring upper limb exercises. Sensor positions, connectivity of electronic circuits, data collections along with development of real-time integrated Web-App for remote monitoring are performed. Data collected from different actors are analyzed, compared with a professional EMG recorder (RMS EMG EpMK2) and it is found that the comparative performance of our model of Exo-Vest is nearly similar to the standard EMG module. These findings highlight ExoVest's potential for real-time upper limb muscle activity monitoring, offering cost-effective muscle health management in various work environments. Wearable Smart ExoVest (SWEV) Surface Myography Signal IOT REST web services Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 04 Oct, 2024 Read the published version in Microsystem Technologies → Version 1 posted Editorial decision: Revision requested 28 Aug, 2024 Reviews received at journal 27 Aug, 2024 Reviews received at journal 27 Aug, 2024 Reviewers agreed at journal 19 Aug, 2024 Reviewers agreed at journal 17 Aug, 2024 Reviewers invited by journal 17 Aug, 2024 Editor assigned by journal 05 Aug, 2024 Submission checks completed at journal 03 Aug, 2024 First submitted to journal 27 Jul, 2024 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. 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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-4813151","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":346073828,"identity":"4c3b8b86-8605-4197-841d-1a636ad89135","order_by":0,"name":"Pritam Chakraborty","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8ElEQVRIiWNgGAWjYFACxgYgIcEDYj34ACTZ2AlraWyAaGFmNpwB0sJMpDVAwMwmzQOmCag3lz7c/uBnjoUMP//5Y9I2v7bJ8zEzMH74mINbi2VfYmNj7zYJHskZyczWuX23DduYGZglZ27DrcXgDNAvvEAtBjeYGW/n9txmBGphY+YloKXxL1CL/fnDDNKWPbftidLSDLaFIZlJmuHH7USCWix7GBtnywK1SNxINjbsbbid3MbM2IzXL+Y87A8+vt1WZ8/ff/Dhgx9/btvOb28++OEjPoeh8BjbwGQDbvUYWhj+4FU8CkbBKBgFIxQAACK5S+qh9Xk7AAAAAElFTkSuQmCC","orcid":"","institution":"Institute of Engineering \u0026 Management","correspondingAuthor":true,"prefix":"","firstName":"Pritam","middleName":"","lastName":"Chakraborty","suffix":""},{"id":346073829,"identity":"b932acd2-5ba0-4b0d-b9a6-85da7b008ab0","order_by":1,"name":"Biswarup Neogi","email":"","orcid":"","institution":"JIS College of Engineering","correspondingAuthor":false,"prefix":"","firstName":"Biswarup","middleName":"","lastName":"Neogi","suffix":""},{"id":346073830,"identity":"03781cfb-7816-43e4-a8d2-265e4b052aaf","order_by":2,"name":"Achintya Das","email":"","orcid":"","institution":"Kalyani Government Engineering College","correspondingAuthor":false,"prefix":"","firstName":"Achintya","middleName":"","lastName":"Das","suffix":""}],"badges":[],"createdAt":"2024-07-27 13:03:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4813151/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4813151/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00542-024-05774-0","type":"published","date":"2024-10-04T15:57:53+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":66096894,"identity":"7a44b43e-ca75-47d1-a9e7-223dd5c64f24","added_by":"auto","created_at":"2024-10-07 16:11:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":830782,"visible":true,"origin":"","legend":"","description":"","filename":"ExoVestEMGArticle.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4813151/v1_covered_8c59ec1a-8283-407b-ac78-003bcf430206.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Design and development of IoT-based wearable smart Exo-Vest for analysis of upper limb dynamics","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"microsystem-technologies","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mite","sideBox":"Learn more about [Microsystem Technologies](http://link.springer.com/journal/542)","snPcode":"542","submissionUrl":"https://submission.nature.com/new-submission/542/3","title":"Microsystem Technologies","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Wearable Smart ExoVest (SWEV), Surface Myography Signal, IOT, REST web services","lastPublishedDoi":"10.21203/rs.3.rs-4813151/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4813151/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis article describes the principles of design and development of an IoT- based wearable smart Exo-Vest (SWEV), which is used for monitoring upper limb exercises. 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