A novel position perception circular convolution approach with simple attention mechanism based on BGRU for myocardial infarction detection

A novel position perception circular convolution approach with simple attention mechanism based on BGRU for myocardial infarction detection | 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 A novel position perception circular convolution approach with simple attention mechanism based on BGRU for myocardial infarction detection Jibin Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8498889/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract Myocardial infarction (MI) is a typical and most threatening cardiovascular disease globally. Conventional visual inspection electrocardiogram has always been challenging due to its inefficiency and subjectivity. Hence, an efficient automatic recognition strategy is desired and has become a beneficial endeavour for MI detection. Motivated from MetaFormer, we investigate a MetaFormer-like model that is mainly composed of position perception circular convolution (Per-C) as a new Token Mixer and simple attention mechanism with bi-directional gate recurrent unit (SimAM-BGRU) as a new Channel MLP known as PerC-SimAM-BGRU for automatic MI detection. This architecture not only inherits global feature extraction ability of Transformer but also stretches global-local feature acquisition ability of PerC. Experiment results demonstrate that PerC-SimAM-BGRU acquires 99.4% accuracy than the existing strategies on Physikalisch-Technische Bundesanstalt database, striking a better balance between performance and complexity from the simulation experiment perspective. for ECG signal recognition. Health sciences/Cardiology Physical sciences/Engineering Physical sciences/Mathematics and computing ECG Transformer Position perception circular convolution Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 21 Apr, 2026 Reviews received at journal 21 Apr, 2026 Reviewers agreed at journal 13 Apr, 2026 Reviews received at journal 12 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviewers invited by journal 06 Apr, 2026 Editor invited by journal 10 Feb, 2026 Editor assigned by journal 03 Jan, 2026 Submission checks completed at journal 03 Jan, 2026 First submitted to journal 02 Jan, 2026 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. 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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-8498889","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":618370103,"identity":"9219256c-3cc7-45a6-9f54-f7e1ab596be4","order_by":0,"name":"Jibin Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8UlEQVRIiWNgGAWjYLACCYMDPAzM/A8OfqiQkOMnXgt7D+NjiTMWxpINxNlzgIGB5wyzAW9bReIGQloMjp89/MKi4I6MuUTuMQnJeRKMGxiYHz66gU/Lmbw0CwmDZzyWM/LSJAq3STCbM7AZG+fg0WJ2IMfMQMLgMI/BjQQzCcltEmyWDTxs0ni1nH+DpIV3jgQPMCgIaLmRY/wArOXMGWMD3gYJCYJa7G+8MWMA+cXgeFviY4ljEgaSzQT8ItmfY/xZ4s8de4PDzAcOfqipq+9nb374GJ8WIGCTlkDhM+NXDlby8QNhRaNgFIyCUTCSAQDUDE1JzBTAfwAAAABJRU5ErkJggg==","orcid":"","institution":"Bengbu Medical University","correspondingAuthor":true,"prefix":"","firstName":"Jibin","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2026-01-02 07:24:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8498889/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8498889/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106726821,"identity":"2956195f-3507-439a-a5db-26d4a6771175","added_by":"auto","created_at":"2026-04-12 18:37:21","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2784154,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8498889/v1_covered_a80456b2-fd6f-4df6-acbf-600ab811dd4e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A novel position perception circular convolution approach with simple attention mechanism based on BGRU for myocardial infarction detection","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"ECG, Transformer, Position perception circular convolution","lastPublishedDoi":"10.21203/rs.3.rs-8498889/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8498889/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Myocardial infarction (MI) is a typical and most threatening cardiovascular disease globally. 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