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While the raw SpO<jats:sub>2<\/jats:sub> signal can provide detailed information about OSA\u2010related pathophysiology, this information is typically summarized with simple statistics such as the oxygen desaturation index (ODI, number of desaturations per hour). As such, this study reviews the technical methods for quantifying OSA\u2010related patterns in oximetry data. The technical methods described in literature can be broadly grouped into four categories: (i) Describing the detailed characteristics of desaturations events; (ii) Time series statistics; (iii) Analysis of power spectral distribution (i.e. frequency domain analysis); and (d) Non\u2010linear analysis. These are described and illustrated with examples of oximetry traces. The utilization of these techniques is then described in two applications. First, the application of detailed oximetry analysis allows the accurate automated classification of PSG\u2010defined OSA. Second, quantifications which better characterize the severity of desaturation events are better predictors of OSA\u2010related epidemiological outcomes than standard clinical metrics. Finally, methodological considerations and further applications and opportunities are considered.<\/jats:p>","DOI":"10.1111\/resp.13635","type":"journal-article","created":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T13:40:07Z","timestamp":1561642807000},"page":"475-485","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["A review of approaches for analysing obstructive sleep apnoea\u2010related patterns in pulse oximetry data"],"prefix":"10.1111","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7649-0884","authenticated-orcid":false,"given":"Philip I.","family":"Terrill","sequence":"first","affiliation":[{"name":"School of Information Technology and Electrical Engineering The University of Queensland  Brisbane QLD Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,6,27]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.g3745"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1513\/pats.200708-138MG"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.6506"},{"key":"e_1_2_9_5_1","doi-asserted-by":"crossref","unstructured":"BerryRB BudhirajaR GottliebDJ GozalD IberC KapurVK MarcusCL MehraR ParthasarathyS QuanSFet al.;American Academy of Sleep Medicine. 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