LU TP 99−24 High Specificity − a Necessity for Automated Detection of Lead Reversals in the 12−lead ECG
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منابع مشابه
Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks.
Artificial neural networks can be used to recognize lead reversals in the 12-lead electrocardiogram at very high specificity, and the sensitivity is much higher than that of a conventional interpretation program. The neural networks developed in this and an earlier study for detection of lead reversals, in combination with an algorithm for the right arm/right foot lead reversal, would recognize...
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Misplacement of electrodes during the recording of an electrocardiogram (ECG) can cause an incorrect interpretation, misdiagnosis, and subsequent lack of proper treatment. The purpose of this study was twofold: (1) to develop artificial neural networks that yield peak sensitivity for the recognition of right/left arm lead reversal at a very high specificity; and (2) to compare the performances ...
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ED FROM Mant J, Fitzmaurice DA, Hobbs FDR, et al. Accuracy of diagnosing atrial fibrillation on electrocardiogram by primary care practitioners and interpretative diagnostic software: analysis of data from screening for atrial fibrillation in the elderly (SAFE) trial. BMJ 2007;335:380. Correspondence to: Dr D A Fitzmaurice, University of Birmingham, Birmingham, UK; [email protected] So...
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تاریخ انتشار 2006