{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T10:21:39Z","timestamp":1789986099962,"version":"4.0.1"},"reference-count":29,"publisher":"European Respiratory Society (ERS)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Eur Respir J"],"accepted":{"date-parts":[[2003,7,1]]},"published-print":{"date-parts":[[2003,12]]},"abstract":"<jats:p>Heart rate fluctuations are a typical finding during obstructive sleep apnoea, characterised by bradycardia during the apnoeic phase and tachycardia at the restoration of ventilation. In this study, a time-frequency domain analysis of the nocturnal heart rate variability (HRV) was evaluated as the single diagnostic marker for obstructive sleep apnoea syndrome (OSAS).<\/jats:p><jats:p>The predictive accuracy of time-frequency HRV variables (wavelet (Wv) decomposition parameters from level 2 (Wv2) to level 256 (Wv256)) obtained from nocturnal electrocardiogram Holter monitoring were analysed in 147 consecutive patients aged 53.8\u00b111.2\u2005yrs referred for possible OSAS.<\/jats:p><jats:p>OSAS was diagnosed in 66 patients (44.9%) according to an apnoea\/hypopnoea index \u226510. Using receiver-operating characteristic curves analysis, the most powerful predictor variable was Wv32 (W 0.758, p&lt;0.0001), followed by Wv16 (W 0.729, p&lt;0.0001) and Wv64 (W 0.700, p&lt;0.0001). Classification and Regression Trees methodology generated a decision tree for OSAS prediction including all levels of Wv coefficients, from Wv2 to Wv256 with a sensitivity reaching 92.4% and a specificity of 90.1% (percentage of agreement 91.2%) with this nonparametric analysis.<\/jats:p><jats:p>Time-frequency parameters calculated using wavelet transform and extracted from the nocturnal heart period analysis appeared as powerful tools for obstructive sleep apnoea syndrome diagnosis.<\/jats:p>","DOI":"10.1183\/09031936.03.00104902","type":"journal-article","created":{"date-parts":[[2008,9,19]],"date-time":"2008-09-19T17:25:02Z","timestamp":1221845102000},"page":"937-942","source":"Crossref","is-referenced-by-count":88,"title":["Predicting sleep apnoea syndrome from heart period: a time-frequency wavelet analysis"],"prefix":"10.1183","volume":"22","author":[{"given":"F.","family":"Roche","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"Pichot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.","family":"Sforza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I.","family":"Court-Fortune","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Duverney","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Costes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Garet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J-C.","family":"Barth\u00e9l\u00e9my","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"81","published-online":{"date-parts":[[2003,12,1]]},"reference":[{"key":"2024101810372792000_22.6.937.1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199304293281704"},{"key":"2024101810372792000_22.6.937.2","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1164\/ajrccm.158.1.9709135","volume":"158","year":"1998","journal-title":"Am J Respir Crit Care Med"},{"key":"2024101810372792000_22.6.937.3","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1093\/sleep\/18.3.149","volume":"18","year":"1995","journal-title":"Sleep"},{"key":"2024101810372792000_22.6.937.4","doi-asserted-by":"publisher","DOI":"10.1378\/chest.94.1.9"},{"key":"2024101810372792000_22.6.937.5","doi-asserted-by":"publisher","DOI":"10.1378\/chest.109.2.395"},{"key":"2024101810372792000_22.6.937.6","doi-asserted-by":"crossref","first-page":"449","DOI":"10.7326\/0003-4819-119-6-199309150-00001","volume":"119","year":"1993","journal-title":"Ann Intern Med"},{"key":"2024101810372792000_22.6.937.7","doi-asserted-by":"publisher","DOI":"10.1378\/chest.113.1.97"},{"key":"2024101810372792000_22.6.937.8","first-page":"126","volume":"21","year":"1984","journal-title":"Lancet"},{"key":"2024101810372792000_22.6.937.9","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1093\/sleep\/19.5.370","volume":"19","year":"1996","journal-title":"Sleep"},{"key":"2024101810372792000_22.6.937.10","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1042\/cs0920335","volume":"92","year":"1997","journal-title":"Clin Sci"},{"key":"2024101810372792000_22.6.937.11","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1007\/BF02513379","volume":"37","year":"1999","journal-title":"Med Biol Eng Comput"},{"key":"2024101810372792000_22.6.937.12","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.100.13.1411"},{"key":"2024101810372792000_22.6.937.13","unstructured":"Thorpy MJ, and the Diagnostic Classification Steering Committee. 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