{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T03:23:47Z","timestamp":1782271427850,"version":"3.54.5"},"reference-count":10,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2001,3,15]],"date-time":"2001-03-15T00:00:00Z","timestamp":984614400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2001,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper we perform a statistical study of the conventional <jats:italic>RR<\/jats:italic> intervals and two newly defined <jats:italic>PR<\/jats:italic>\u2032 and <jats:italic>RT<\/jats:italic> intervals of ECG data. A quadratic classification rule is applied to extract several important ECG diagnosis\u2010aiding indices among normal children and children with ventricular septal defect (VSD) with or without congestive heart failure (CHF). The results show that certain statistics computed from <jats:italic>PR<\/jats:italic>\u2032, <jats:italic>RR<\/jats:italic> and <jats:italic>RT<\/jats:italic> intervals are important diagnosis\u2010aiding indices. Best classification vectors are searched for pairwise classification. Two methods, minimum distance criterion and a two\u2010stage classification procedure, are considered for three\u2010way classification. Furthermore, logistic regression models based on transformations of these important diagnosis\u2010aiding indices are proposed. The receiver operating characteristic curves of the proposed models show better performance than those of linear and quadratic logistic models. In order to proceed with this study, a computer algorithm to automatically detect the three intervals is developed and the related ECG data are collected and analysed. The algorithm is also enhanced with an outlier detection procedure for the automatic measurements of the <jats:italic>PR<\/jats:italic>\u2032 and <jats:italic>RT<\/jats:italic> intervals. Copyright \u00a9 2001 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.748","type":"journal-article","created":{"date-parts":[[2002,8,25]],"date-time":"2002-08-25T22:50:54Z","timestamp":1030315854000},"page":"1125-1141","source":"Crossref","is-referenced-by-count":3,"title":["Important ECG diagnosis\u2010aiding indices of ventricular septal defect children with or without congestive heart failure"],"prefix":"10.1002","volume":"20","author":[{"given":"Meihui","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mong\u2010Na Lo","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhidong","family":"Bai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai\u2010Sheng","family":"Hsieh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2001,3,15]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1203\/00006450-198812000-00005"},{"key":"e_1_2_1_3_2","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1152\/jappl.1991.71.3.1143","article-title":"Coarse\u2010graining spectral analysis: new method for studying heart rate variability","volume":"74","author":"Yamamoto Y","year":"1991","journal-title":"Journal of Applied Physiology"},{"key":"e_1_2_1_4_2","first-page":"447","article-title":"The high\u2010resolution time\u2010frequency characteristics of slower frequency heart rate variability in patients of chronic refractory congestive heart failure \u2013 the implications of beta\u2010blocker therapy","volume":"8","author":"Chan HL","year":"1996","journal-title":"Biomedical Engineering Applications, Basis & Communications"},{"key":"e_1_2_1_5_2","volume-title":"Biomedical Digital Signal Processing:C\u2010Language Examples and Laboratory Experiments for the IBM PC","author":"Tompkins WJ","year":"1993"},{"key":"e_1_2_1_6_2","first-page":"2","article-title":"Detection of ECG characteristic points using wavelet transforms","volume":"42","author":"Li C","year":"1995","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"e_1_2_1_7_2","first-page":"1","article-title":"Statistical analysis and modelling for PR Intervals of ECG","volume":"35","author":"Guo M","year":"1997","journal-title":"Journal of the Chinese Statistical Association"},{"key":"e_1_2_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"e_1_2_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1986.325695"},{"key":"e_1_2_1_10_2","volume-title":"Methods of Multivariate Analysis","author":"Rencher AC","year":"1995"},{"key":"e_1_2_1_11_2","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/74.3.495"}],"container-title":["Statistics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fsim.748","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sim.748","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,19]],"date-time":"2023-11-19T17:55:17Z","timestamp":1700416517000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/sim.748"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,3,15]]},"references-count":10,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2001,4,15]]}},"alternative-id":["10.1002\/sim.748"],"URL":"https:\/\/doi.org\/10.1002\/sim.748","archive":["Portico"],"relation":{},"ISSN":["0277-6715","1097-0258"],"issn-type":[{"value":"0277-6715","type":"print"},{"value":"1097-0258","type":"electronic"}],"subject":[],"published":{"date-parts":[[2001,3,15]]}}}