iGLOX: An Optical Sensing Device for EpilepsyRe-occurrence Prediction using Glucose and Spo2 monitoring | 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 iGLOX: An Optical Sensing Device for EpilepsyRe-occurrence Prediction using Glucose and Spo2 monitoring Urvashi P. Shukla This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3975948/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 Recurrent epileptic seizures are a neurological condition known as epilepsy thatcan be unpredictable and significantly affect a person’s day-to-day life. Despitevarious anti-epileptic medicines, approximately one out of every three individuals has regular seizures. The paper presents an optical sensing device iGLOX,an intelligent glucoximeter for continuous blood glucose and SpO2 monitoring.An Near Infra-Red (NIR) optical sensor of 940 nm wavelength with a higherglucose absorption peak and two wavelengths, 660 nm and 880 nm, for SpO2detection are used to predict recurrent seizure episodes. Blood glucose levelsare calculated using the variation in NIR light intensity that the photodetectorreceives after it penetrates the finger. The blood with oxygen is significantly moreabsorbent of light at NIR wavelengths compared to blood without oxygen. Oxygenated haemoglobin absorbs more infra-red light and transmits less red light.More red light is absorbed by deoxygenated haemoglobin, but less infra-red lightcan pass through. The computing device then determines the ratio between themeasurements of red and infra-red light (which corresponds to the ratio betweenoxygenated and deoxygenated haemoglobin), which helps to find SpO2 values.The combination of glucose value and oxygen value can be an important factorwhich helps for the early epilepsy seizures detection. The proposed device hasexcellent accuracy with only 9% error in glucose prediction and only 2% in Sp02estimation. Continuous Glucose Monitoring Hyperglycaemia Hypoxia Near Infra-red Seizure 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-3975948","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":274301683,"identity":"b3bbb129-e710-4c7c-9acd-6a67070d1d16","order_by":0,"name":"Urvashi P. 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