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 approximately 75% of lead reversals encountered in clinical practice.
Hedén
B
B
Department of Clinical Physiology and Theoretical Physics, Lund University, Sweden.
Ohlsson
M
M
Holst
H
H
Mjöman
M
M
Rittner
R
R
Pahlm
O
O
Peterson
C
C
Edenbrandt
L
L
D004562:Electrocardiography; D004566:Electrodes; D006801:Humans; D016571:Neural Networks, Computer; D012680:Sensitivity and Specificity