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• W2086907943 abstract "Echocardiographic strain waveforms are highly variable, so their interpretation is experience-dependent and subjective. We tested whether an artificial neural network (ANN) can distinguish between strain waveforms obtained at baseline and during experimentally induced acute ischemia. An open-chest model of coronary occlusion and acute ischemia was used in 14 adult pigs. Strain waveforms were obtained using a GE Vivid 7 ultrasound system. An ANN design was implemented in MATLAB®, and backpropagation and “leave-one-out” processes were used to train and test it. Specificity of 86% and sensitivity of 87% suggest that ANNs could aid in diagnostic prescreening of echocardiographic strain waveforms." @default.
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• W2086907943 date "2008-04-01" @default.
• W2086907943 modified "2023-10-18" @default.
• W2086907943 title "Classification of acute myocardial ischemia by artificial neural network using echocardiographic strain waveforms" @default.
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• W2086907943 doi "https://doi.org/10.1016/j.compbiomed.2008.01.003" @default.
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