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In this work, we present\n                    <jats:italic>e-Glass<\/jats:italic>\n                    , a state-of-the-art smart wearable device that enables unobtrusive real-time electroencephalography (EEG) monitoring. Our evaluation shows that\n                    <jats:italic>e-Glass<\/jats:italic>\n                    adheres to the established international guidelines for clinical EEG recordings. Moreover, the acquired data presents a Pearson\u2019s correlation of 0.93 relative to recordings obtained from the Biopac research-grade EEG system . The proposed EEG acquisition device concept is evaluated in two application domains: epileptic seizure detection and cognitive workload monitoring (CWM). First, we present a lightweight edge machine-learning scheme, designed specifically for\n                    <jats:italic>e-Glass<\/jats:italic>\n                    ,  achieving overall sensitivity of 64% (100% sensitivity in 11 out of 24 subjects) and 2.35 false-alarms per day, when tested on 982.9 hours of EEG data from the CHB-MIT dataset. Similarly,\u00a0an CWM strategy with\n                    <jats:italic>e-Glass<\/jats:italic>\n                    reaches an accuracy of 74.5% on unseen data. These results demonstrate that\n                    <jats:italic>e-Glass<\/jats:italic>\n                    is capable of unobtrusive and real-time subject monitoring in outpatient conditions, not only in epileptic seizure detection but also in monitoring the subject\u2019s cognitive state.\n                  <\/jats:p>","DOI":"10.1038\/s41598-025-29893-4","type":"journal-article","created":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T13:44:50Z","timestamp":1764423890000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["EEG glasses for real-time brain electrical activity monitoring"],"prefix":"10.1038","volume":"15","author":[{"given":"Renato","family":"Zanetti","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir","family":"Aminifar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Atienza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,29]]},"reference":[{"key":"29893_CR1","unstructured":"World Health Organization. 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The patent is authored by: Aminifar, Amir; Sopic, Dionisije; Atienza Alonso, David; and Zanetti, Renato.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"43574"}}