{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T03:05:20Z","timestamp":1768446320395,"version":"3.49.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Obstructive sleep apnea is a serious sleep disorder that affects an estimated one billion adults worldwide. It causes breathing to repeatedly stop and start during sleep which over years increases the risk of hypertension, heart disease, stroke, Alzheimer's, and cancer. In this demo, we present Yolo4Apnea a deep learning system extending You Only Look Once (Yolo) system to detect sleep apnea events from abdominal breathing patterns in real-time enabling immediate awareness and action. Abdominal breathing is measured using a respiratory inductance plethysmography sensor worn around the stomach. The source code is available at https:\/\/github.com\/simula-vias\/Yolo4Apnea<\/jats:p>","DOI":"10.24963\/ijcai.2020\/754","type":"proceedings-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:12:49Z","timestamp":1594260769000},"page":"5234-5236","source":"Crossref","is-referenced-by-count":4,"title":["Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea"],"prefix":"10.24963","author":[{"given":"Sondre","family":"Hamnvik","sequence":"first","affiliation":[{"name":"University of Oslo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Bernab\u00e9","sequence":"additional","affiliation":[{"name":"Simula Research Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sagar","family":"Sen","sequence":"additional","affiliation":[{"name":"Simula Research Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","theme":"Artificial Intelligence","location":"Yokohama, Japan","acronym":"IJCAI-PRICAI-2020","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2020,7,11]]},"end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:17:02Z","timestamp":1594261022000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/754"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/754","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}