Clinically Validated Classification of Chronic WoundsMethod with Memristor-Based Cellular Neural Network

Clinically Validated Classification of Chronic WoundsMethod with Memristor-Based Cellular Neural Network | 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 Clinically Validated Classification of Chronic WoundsMethod with Memristor-Based Cellular Neural Network Jacopo Secco, Elisabetta Spinazzola, Monica Pittarello, Elia Bernardino Ricci, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3908984/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted 14 You are reading this latest preprint version Abstract Chronic wounds are a syndrome that affects around 4% of the world population due to several pathologies. The COV-19pandemic has enforced the need of developing new techniques and technologies that can help clinicians to monitor the affectedpatients easily and reliably. In this study a new device, the Wound Viewer (WV), that works through a memristor-basedDiscrete-Time Cellular Neural Network (DT-CNN) has been developed and tested through a clinical trial of 150 patients. TheWV has been developed to serve as the state-of-art tool, capable to return the actual clinical information that is most neededby the caregivers. This work aims to describe in depth the technology and the computational techniques that have beenimplemented, and to demonstrate reliability in automatically identifying, classifying through internationally accepted clinicalscales and measuring such wounds, that peaked to over a 90% of accuracy. Physical sciences/Mathematics and computing/Computational science Physical sciences/Engineering/Biomedical engineering Health sciences/Health care/Diagnosis Health sciences/Medical research/Translational research Memristor Cellular Neural Networks Cellular Automaton Chronic Wounds Telemedicine Medical Device Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 23 Aug, 2024 Reviews received at journal 18 Jul, 2024 Reviewers agreed at journal 18 Jul, 2024 Reviewers agreed at journal 18 Jul, 2024 Reviewers agreed at journal 18 Jul, 2024 Reviews received at journal 02 Apr, 2024 Reviewers agreed at journal 20 Mar, 2024 Reviews received at journal 19 Mar, 2024 Reviewers agreed at journal 26 Feb, 2024 Reviewers invited by journal 25 Feb, 2024 Editor assigned by journal 15 Feb, 2024 Editor invited by journal 15 Feb, 2024 Submission checks completed at journal 15 Feb, 2024 First submitted to journal 29 Jan, 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. 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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-3908984","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":272972712,"identity":"e48386da-77bc-456e-8942-52b714a3e1b5","order_by":0,"name":"Jacopo Secco","email":"","orcid":"","institution":"Polytechnic University of Turin","correspondingAuthor":false,"prefix":"","firstName":"Jacopo","middleName":"","lastName":"Secco","suffix":""},{"id":272972713,"identity":"71593196-07ad-4c12-8a87-66dd1c53deca","order_by":1,"name":"Elisabetta Spinazzola","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABOUlEQVRIie2RMWsCMRTH3xHILbneGrlWv0KKa1u/SkTofGOHUq4IcTm51aG030IccwSc/AAdHDwKTi0oToJi36lwtnd27pAfIeE98iP/JAAWy3/EdSLAcUTsZ0fDA8AFKTo/IAeFsxMFNEwAKMkdUXbydqEc0Y5CBaqP8QnpLtajm6eWq8kqDKeNRmK0Xr9O69T10xmEm99KreuoWn9yzxmTNBiI+fVzNJZpfzhvYjAiKoIJgxk8ZTCYpIRh2XViob2haStCKK9QWrhnuVU7zvwZWaHSUiim25fzisAXCzylOeMSAlTaMcXZi84rHIMFV5NOLX7PFN7FdAaMSnM53t+lKaRoll6s1/tYfo3ufDfpmFW4MbdviUmzz8dp3ffTbLbY1Ev/UuBE5KTSh0X+IeRUKBaLxWIB+AbxcmckfWlkfwAAAABJRU5ErkJggg==","orcid":"","institution":"Polytechnic University of Turin","correspondingAuthor":true,"prefix":"","firstName":"Elisabetta","middleName":"","lastName":"Spinazzola","suffix":""},{"id":272972714,"identity":"1e0cfb01-c5d3-49d8-b041-8712a868a516","order_by":2,"name":"Monica Pittarello","email":"","orcid":"","institution":"Clinica Eporediese","correspondingAuthor":false,"prefix":"","firstName":"Monica","middleName":"","lastName":"Pittarello","suffix":""},{"id":272972715,"identity":"7846a446-5cf1-449e-a59c-0024c01e9e35","order_by":3,"name":"Elia Bernardino Ricci","email":"","orcid":"","institution":"Clinica Eporediese","correspondingAuthor":false,"prefix":"","firstName":"Elia","middleName":"Bernardino","lastName":"Ricci","suffix":""},{"id":272972716,"identity":"1a32ae0c-c037-456c-b765-15094992abab","order_by":4,"name":"Fabio Pareschi","email":"","orcid":"","institution":"Polytechnic University of Turin","correspondingAuthor":false,"prefix":"","firstName":"Fabio","middleName":"","lastName":"Pareschi","suffix":""}],"badges":[],"createdAt":"2024-01-29 13:14:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3908984/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3908984/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-81521-9","type":"published","date":"2024-12-28T15:57:38+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":72640649,"identity":"8becf0c6-708e-4ce5-a2ac-af83d98dfecd","added_by":"auto","created_at":"2024-12-30 16:08:02","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":569477,"visible":true,"origin":"","legend":"","description":"","filename":"WoundClassificationScientificReports2023.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3908984/v1_covered_879ba5dd-c1f4-4a59-9eb6-b84de20be5b3.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eClinically Validated Classification of Chronic WoundsMethod with Memristor-Based Cellular Neural Network\u003c/p\u003e","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":"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":"Memristor, Cellular Neural Networks, Cellular Automaton, Chronic Wounds, Telemedicine, Medical Device","lastPublishedDoi":"10.21203/rs.3.rs-3908984/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3908984/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Chronic wounds are a syndrome that affects around 4% of the world population due to several pathologies. 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