{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T10:40:19Z","timestamp":1740048019343,"version":"3.37.3"},"reference-count":30,"publisher":"Walter de Gruyter GmbH","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Expiratory flow limitation (EFL) is an often unrecognized clinical condition with a multitude of negative implications. A mathematical EFL model is proposed to detect flow limitations automatically. The EFL model is a switching one-compartment lung mechanics model with a volume-dependent airway resistance to simulate the dynamic behavior during expiration. The EFL detection is based on a breath-by-breath model parameter identification and validated on clinical data of mechanically ventilated patients. In the <jats:italic>severe flow limitation<\/jats:italic> group 93.9\u202f% \u00b1 5\u202f% and in the <jats:italic>no limitation<\/jats:italic> group 10.2\u202f% \u00b1 13.7\u202f% of the breaths are detected as EFL. Based on the high detection rate of EFL, these results support the usefulness of the EFL detection. It is a first step toward an automated detection of EFL in clinical applications and may help to reduce underdiagnosis of EFL.<\/jats:p>","DOI":"10.1515\/auto-2023-0206","type":"journal-article","created":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T09:13:32Z","timestamp":1715073212000},"page":"417-428","source":"Crossref","is-referenced-by-count":0,"title":["A switching lung mechanics model for detection of expiratory flow limitation"],"prefix":"10.1515","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2227-8316","authenticated-orcid":false,"given":"Carlotta","family":"Hennigs","sequence":"first","affiliation":[{"name":"9191 Institute of Electrical Engineering in Medicine, Universit\u00e4t zu L\u00fcbeck , Luebeck , Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3230-1898","authenticated-orcid":false,"given":"Franziska","family":"Bilda","sequence":"additional","affiliation":[{"name":"9191 Institute of Electrical Engineering in Medicine, Universit\u00e4t zu L\u00fcbeck , Luebeck , Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6528-0950","authenticated-orcid":false,"given":"Jan","family":"Gra\u00dfhoff","sequence":"additional","affiliation":[{"name":"Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering , Luebeck , Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3061-1251","authenticated-orcid":false,"given":"Stephan","family":"Walterspacher","sequence":"additional","affiliation":[{"name":"Medical Clinic \u2013 Dept of Pneumology, Klinikum Konstanz, Germany and Faculty of Health\/School of Medicine , Witten\/Herdecke University , Witten , Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0326-168X","authenticated-orcid":false,"given":"Philipp","family":"Rostalski","sequence":"additional","affiliation":[{"name":"9191 Institute of Electrical Engineering in Medicine, Universit\u00e4t zu L\u00fcbeck , Luebeck , Germany"},{"name":"Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering , Luebeck , Germany"}]}],"member":"374","published-online":{"date-parts":[[2024,5,7]]},"reference":[{"key":"2025022009450638755_j_auto-2023-0206_ref_001","doi-asserted-by":"crossref","unstructured":"D. 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