Published in
Elsevier, American Journal of Cardiology, 5(78), p. 600-604
DOI: 10.1016/s0002-9149(96)00377-3
Links
Tools
Detection of Frequently Overlooked Electrocardiographic Lead Reversals Using Artificial Neural Networks
,
Holger Holst,
Mattias Mjöman,
Olle Pahlm,
Ralf Rittner,
Carsten Peterson,
Lars Edenbrandt
Full text: Download
Abstract
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.