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Lookup NU author(s): Dr Philip Langley,
Emeritus Professor Alan MurrayORCiD
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We investigated whether automatic QT dispersion measurements are more discriminating than manual measurement in three clinical groups: myocardial infarction; arrhythmia; normals. Four automatic techniques of QT interval measurement, based on models of T wave shape, were used: i) intersection of maximum slope of T wave with baseline (QTsi), ii) intersection of linear best fit over the region 30% to 70% of peak T wave amplitude with baseline (QT30/70), iii) intersection of linear best fit over the region 10% to 30% of peak T wave amplitude (QT10/30) with baseline, and iv) minimum/maximum of 2(nd) order polynomial best fit over a 0.1 s interval commencing at 50%peak amplitude (QT2nd). There were no significant differences between dispersion lit the groups when measured manually. There were, significant differences between normal and infarct groups for all automatic techniques (p < 0.05), and between normal and arrhythmia groups for QT30/70 and QT2nd (p<0.05). Automatic techniques were better able to discriminate between normal and cardiac patient groups.
Author(s): Langley P, Murray A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: COMPUTERS IN CARDIOLOGY 2001, VOL 28
Year of Conference: 2001
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