Leveraging Smart Wearable Internet of Things Systems for Remote Healthcare Monitoring Using Dimensionality Reduction with Deep Representation Learning Model

Leveraging Smart Wearable Internet of Things Systems for Remote Healthcare Monitoring Using Dimensionality Reduction with Deep Representation Learning Model | 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 Leveraging Smart Wearable Internet of Things Systems for Remote Healthcare Monitoring Using Dimensionality Reduction with Deep Representation Learning Model Mesfer Al Duhayyim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7654732/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 Technical and accessibility concerns in hospitals frequently prevent individuals from receiving the best physical and mental health care, which is vital for independent living. Current advancements in the Internet of Things (IoT)-based wearable devices provide capable applications for remote health monitoring and day-to-day activity detection, which has attained substantial interest in healthcare. Furthermore, the integration of wearables in the IoT system allows healthcare systems to use interconnected technologies, thus raising treatment protocols, enhancing diagnostic precision, and improving healthcare delivery and patient outcomes. Body wearable devices have gained attention as robust devices for healthcare applications, resulting in numerous commercially accessible devices for several motives, such as personalized healthcare, activity alerts, and fitness. Deep learning (DL) holds a prominent position in transforming remote healthcare by improving diagnostic precision, allowing real-time monitoring, and enabling tailored treatment plans remotely. Moreover, DL’s prediction abilities are revolutionizing patient monitoring and preventive care in remote healthcare environments. This paper presents an Intelligent Remote Healthcare Monitoring Framework Using Feature Selection and Deep Autoencoder (IRHMFS-DAE) model using IoT-integrated wearable devices. The objective of this framework is to provide a promising approach for proactive disease detection and personalized healthcare management. In the data preprocessing stage, the proposed IRHMFS-DAE method applies data cleaning and normalization to enhance the quality of the collected sensor signals and ensure consistency. Next, several dimensionality reduction techniques are utilised for identifying the most relevant health-related features and enhancing interpretability for medical decision-making. For healthcare data classification, a stacked denoising autoencoder (SDAE) is deployed to effectively learn complex patterns in patient data and to enhance prediction accuracy. To determine the heightened performance of the IRHMFS-DAE model, numerous simulations were performed, and the results were inspected under several measures. The comparison investigation stated the improvement of the IRHMFS-DAE method under diverse measures. Biological sciences/Computational biology and bioinformatics Physical sciences/Engineering Health sciences/Health care Physical sciences/Mathematics and computing Remote Healthcare Monitoring Internet of Things Wearables Deep Learning Feature Selection 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-7654732","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":536033421,"identity":"070e485f-a332-4c55-a7c4-7e8c3ca3cba0","order_by":0,"name":"Mesfer Al Duhayyim","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAklEQVRIiWNgGAWjYHACxgM8DAdAdAPDB6iQBCE9cC2MM0jUwsDAzEOMFt0G5gcH3rbdkTe4kdy62XZHnbzBAeaDt3kY6uRxaTE7wGZwcG7bM8MNNxLbbueeOWy44QBbsjUPw2HDBpxaGAwO87YdZoRoaTvAuOEAj5k00KmMuLWwfwBpsQdrsWyrs99wgP8bUEudPW4tPGBbEsFaGNuYE4G2sAG1MCfi1HKYp+DgnHOHk2eeedh2s/cMkHGYzdhyjsHhZJxajrdvfPCm7LBt3/H0Zzd+7qgDMpof3nhTUWeLSwsDM5RWuJAATgBQEQNc6pGAfP8BqJZRMApGwSgYBWgAAH1TaDx+w8DUAAAAAElFTkSuQmCC","orcid":"","institution":"Prince Sattam bin Abdulaziz University","correspondingAuthor":true,"prefix":"","firstName":"Mesfer","middleName":"Al","lastName":"Duhayyim","suffix":""}],"badges":[],"createdAt":"2025-09-19 05:38:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7654732/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7654732/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":94718198,"identity":"19b5b9ec-3e14-4e75-a7e4-0dff24faf5ba","added_by":"auto","created_at":"2025-10-30 04:23:19","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":1802446,"visible":true,"origin":"","legend":"","description":"","filename":"IRHMFSDAE.docx","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/c90d8467675b908f6e92f8f5.docx"},{"id":94718175,"identity":"e3c0cc1e-3d8a-4a9d-9eff-1aca01d5808b","added_by":"auto","created_at":"2025-10-30 04:23:16","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4480,"visible":true,"origin":"","legend":"","description":"","filename":"dedd2e5f2bf247c897d369501c9e4b80.json","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/9f74bc289d35732f11157678.json"},{"id":94718185,"identity":"ba01ad4f-a002-4059-96c4-8402fc80ea72","added_by":"auto","created_at":"2025-10-30 04:23:18","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":121783,"visible":true,"origin":"","legend":"","description":"","filename":"dedd2e5f2bf247c897d369501c9e4b801enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/1f99f021355d4bb742ca3d86.xml"},{"id":94718204,"identity":"8ae7ad24-41f1-432c-b95f-4697db9c66cc","added_by":"auto","created_at":"2025-10-30 04:23:21","extension":"jpeg","order_by":3,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":175614,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/782a0d8f872782ecfabc02bb.jpeg"},{"id":94718187,"identity":"94b85a8f-d650-4c87-b00e-be3d08d39fec","added_by":"auto","created_at":"2025-10-30 04:23:18","extension":"jpeg","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":262274,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage2.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/a4912a352b5b3ece357eb33c.jpeg"},{"id":94718197,"identity":"3f0ee89e-4b82-4844-9136-6c0cef67a7e2","added_by":"auto","created_at":"2025-10-30 04:23:19","extension":"png","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":16777,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/bd86583895f7e697e48f4724.png"},{"id":94718188,"identity":"c578c471-3537-4a44-b0ef-d4e331fdb391","added_by":"auto","created_at":"2025-10-30 04:23:18","extension":"png","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":36931,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/1fea34cdf71e03ba87b659b4.png"},{"id":94718179,"identity":"eda2a061-3b28-48ed-af1b-9e36c2102c06","added_by":"auto","created_at":"2025-10-30 04:23:17","extension":"png","order_by":7,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":501041,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/8362a5f3c82099ff6cf51f7f.png"},{"id":94718202,"identity":"d445ef57-14bd-41cf-864c-57480cf7879a","added_by":"auto","created_at":"2025-10-30 04:23:19","extension":"png","order_by":8,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":40179,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/5079d55c495f3cc3fc9dc389.png"},{"id":94718181,"identity":"552a32c5-08b0-4be4-81b2-a5b7933a14e0","added_by":"auto","created_at":"2025-10-30 04:23:17","extension":"png","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":513639,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/ea5e84bf3cdefea4f065dcac.png"},{"id":94718189,"identity":"72d9b041-e019-49ff-8a29-2957edbb83c9","added_by":"auto","created_at":"2025-10-30 04:23:18","extension":"png","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":189458,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/f8ae2e16443a23aa5c615d5e.png"},{"id":94718201,"identity":"98466a6c-e8f0-4e92-aed0-123191fbc07f","added_by":"auto","created_at":"2025-10-30 04:23:19","extension":"png","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":57775,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/ca36c4d15cf7ca906fcf2c71.png"},{"id":94718177,"identity":"44726357-731f-4052-a423-b3ec7ad3b0c6","added_by":"auto","created_at":"2025-10-30 04:23:16","extension":"png","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":61450,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/ee74347de8f07bd0687f5e57.png"},{"id":94718199,"identity":"e19abf60-117b-4cd9-ad3b-4b911f2e7d8c","added_by":"auto","created_at":"2025-10-30 04:23:19","extension":"png","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":5410,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/df2b0fe73f182cb2f8b7f549.png"},{"id":94718209,"identity":"619fda4a-dcfc-4b4c-a5be-cc0565b8feff","added_by":"auto","created_at":"2025-10-30 04:23:22","extension":"png","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":10445,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/2deeea5bb0b2f921840886fc.png"},{"id":94718184,"identity":"34c63cb5-f221-4c3a-ab15-f6677c47466e","added_by":"auto","created_at":"2025-10-30 04:23:17","extension":"png","order_by":15,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":71442,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/62b070e6f7069df8f10c5771.png"},{"id":94718192,"identity":"9e560fbe-7c29-48a7-ac82-8ce911776775","added_by":"auto","created_at":"2025-10-30 04:23:18","extension":"png","order_by":16,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":12680,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/1357288ae291ce88229991a3.png"},{"id":94718207,"identity":"93b50361-c23b-4c02-80a5-e144ca4005a4","added_by":"auto","created_at":"2025-10-30 04:23:22","extension":"png","order_by":17,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":81564,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/dc7a931d4c6c8b69cd69d20e.png"},{"id":94718200,"identity":"8c95a9a8-a3ec-4d81-a0ce-591e760eee7d","added_by":"auto","created_at":"2025-10-30 04:23:19","extension":"png","order_by":18,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":53455,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/d0c7d6ece0ef4ae7ef6a0b71.png"},{"id":94718190,"identity":"bc90442a-a270-4e1b-9112-153cf9d3a848","added_by":"auto","created_at":"2025-10-30 04:23:18","extension":"xml","order_by":19,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":121909,"visible":true,"origin":"","legend":"","description":"","filename":"dedd2e5f2bf247c897d369501c9e4b801structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/51a180ec262086cfa9b85f7a.xml"},{"id":94730329,"identity":"cb9ada9b-0b6b-4d88-87c8-95c6f249f655","added_by":"auto","created_at":"2025-10-30 07:05:51","extension":"html","order_by":20,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":140067,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1/e0927c638d3f52b7a6fe427c.html"},{"id":97893798,"identity":"22283098-1be9-4a60-9b49-59eb74af9594","added_by":"auto","created_at":"2025-12-10 15:31:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1181260,"visible":true,"origin":"","legend":"","description":"","filename":"IRHMFSDAE.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7654732/v1_covered_72a7c647-129a-449e-98ec-364974a33801.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Leveraging Smart Wearable Internet of Things Systems for Remote Healthcare Monitoring Using Dimensionality Reduction with Deep Representation Learning Model","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":"Remote Healthcare Monitoring, Internet of Things, Wearables, Deep Learning, Feature Selection","lastPublishedDoi":"10.21203/rs.3.rs-7654732/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7654732/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTechnical and accessibility concerns in hospitals frequently prevent individuals from receiving the best physical and mental health care, which is vital for independent living. Current advancements in the Internet of Things (IoT)-based wearable devices provide capable applications for remote health monitoring and day-to-day activity detection, which has attained substantial interest in healthcare. Furthermore, the integration of wearables in the IoT system allows healthcare systems to use interconnected technologies, thus raising treatment protocols, enhancing diagnostic precision, and improving healthcare delivery and patient outcomes. Body wearable devices have gained attention as robust devices for healthcare applications, resulting in numerous commercially accessible devices for several motives, such as personalized healthcare, activity alerts, and fitness. Deep learning (DL) holds a prominent position in transforming remote healthcare by improving diagnostic precision, allowing real-time monitoring, and enabling tailored treatment plans remotely. Moreover, DL\u0026rsquo;s prediction abilities are revolutionizing patient monitoring and preventive care in remote healthcare environments. This paper presents an Intelligent Remote Healthcare Monitoring Framework Using Feature Selection and Deep Autoencoder (IRHMFS-DAE) model using IoT-integrated wearable devices. The objective of this framework is to provide a promising approach for proactive disease detection and personalized healthcare management. In the data preprocessing stage, the proposed IRHMFS-DAE method applies data cleaning and normalization to enhance the quality of the collected sensor signals and ensure consistency. Next, several dimensionality reduction techniques are utilised for identifying the most relevant health-related features and enhancing interpretability for medical decision-making. For healthcare data classification, a stacked denoising autoencoder (SDAE) is deployed to effectively learn complex patterns in patient data and to enhance prediction accuracy. To determine the heightened performance of the IRHMFS-DAE model, numerous simulations were performed, and the results were inspected under several measures. The comparison investigation stated the improvement of the IRHMFS-DAE method under diverse measures.\u003c/p\u003e","manuscriptTitle":"Leveraging Smart Wearable Internet of Things Systems for Remote Healthcare Monitoring Using Dimensionality Reduction with Deep Representation Learning Model","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-30 04:23:08","doi":"10.21203/rs.3.rs-7654732/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"b00d30d1-09db-4439-8229-7398a2c4cc0d","owner":[],"postedDate":"October 30th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":56989433,"name":"Biological sciences/Computational biology and bioinformatics"},{"id":56989434,"name":"Physical sciences/Engineering"},{"id":56989435,"name":"Health sciences/Health care"},{"id":56989436,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2025-12-08T11:09:02+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-30 04:23:08","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7654732","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7654732","identity":"rs-7654732","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}