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Fortunately, up to 70% of people with epilepsy could live seizure-free if properly diagnosed and treated, and a reliable technique to monitor the onset of seizures could improve the quality of life of patients who are constantly facing the fear of random seizure attacks. The current gold standard, video-EEG (v-EEG), involves attaching over 20 electrodes to the scalp, is costly, requires hospitalization, trained professionals, and is uncomfortable for patients. To address this gap, we developed\n            <jats:italic>EarSD<\/jats:italic>\n            , a lightweight and unobtrusive ear-worn system to detect seizure onsets by measuring physiological signals behind the ears. This system can be integrated into earphones, headphones, or hearing aids, providing a convenient solution for continuous monitoring.\n            <jats:italic>EarSD<\/jats:italic>\n            is an integrated custom-built\n            <jats:italic>sensing<\/jats:italic>\n            -\n            <jats:italic>computing<\/jats:italic>\n            -\n            <jats:italic>communication<\/jats:italic>\n            ear-worn platform to capture seizure signals, remove the noises caused by motion artifacts and environmental impacts, and stream the collected data wirelessly to the computer\/mobile phone nearby.\n            <jats:italic>EarSD<\/jats:italic>\n            \u2019s ML algorithm, running on a server, identifies seizure-associated signatures and detects onset events. We evaluated the proposed system in both in-lab and in-hospital experiments at the University of Texas Southwestern Medical Center with epileptic seizure patients, confirming its usability and practicality.\n          <\/jats:p>","DOI":"10.1145\/3703164","type":"journal-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T12:06:47Z","timestamp":1730722007000},"page":"1-31","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection"],"prefix":"10.1145","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0826-6897","authenticated-orcid":false,"given":"Abdul","family":"Aziz","sequence":"first","affiliation":[{"name":"College Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8316-872X","authenticated-orcid":false,"given":"Nhat","family":"Pham","sequence":"additional","affiliation":[{"name":"School of Computer Science and Informatics, Cardiff University, Cardiff, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0473-0150","authenticated-orcid":false,"given":"Neel","family":"Vora","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2791-6445","authenticated-orcid":false,"given":"Cody","family":"Reynolds","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3286-5864","authenticated-orcid":false,"given":"Jaime","family":"Lehnen","sequence":"additional","affiliation":[{"name":"Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1397-5590","authenticated-orcid":false,"given":"Pooja","family":"Venkatesh","sequence":"additional","affiliation":[{"name":"Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7962-7292","authenticated-orcid":false,"given":"Zhuoran","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2892-5289","authenticated-orcid":false,"given":"Jay","family":"Harvey","sequence":"additional","affiliation":[{"name":"Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0742-9155","authenticated-orcid":false,"given":"Tam","family":"Vu","sequence":"additional","affiliation":[{"name":"Earable Inc., Boulder, CO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3485-8200","authenticated-orcid":false,"given":"Kan","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8078-4463","authenticated-orcid":false,"given":"Phuc","family":"Nguyen","sequence":"additional","affiliation":[{"name":"College Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,1,9]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"Ceribell. 2023. 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