CART ECG Algorithms of Lehmann et al for Identifying the Occluded Artery in a Patient with an Acute Myocardial Infarction
Purpose: To evaluate an extended ECG from a patient with an acute myocardial infarction (AMI) to identify the occluded vessel as described by Lehmann et al.
Lehmann et al used classification and regression tree (CART) analysis of the ECG from a patient with an acute myocardial infarction to identify the occluded artery. The authors are from the Technischen Universitat Munchen.
Patient monitoring:
(1) standard 12 lead ECG
(2) right ventricular leads V1R to V6R
(3) posterior leads V7 to V9
Parameters used for patient evaluation:
(1) ST deviation in V2
(2) ST deviation in V5R
(3) ST deviation in aVF
CART analysis 1 - Continuous Regression
(Figure 1, page 82)
ST deviation in V2
ST deviation in V5R
Occluded Artery
> 0.1 mV
NA
LAD
<= 0.1 mV
> 0.05 mV
RCA
<= 0.1 mV
<= 0.05 mV
circumflex
CART analysis 2 - Dichotomous Regression
(Figure 2, page 82)
ST deviation in V2
ST deviation in V5R
ST deviation in aVF
Occluded Artery
> 0 mV
NA
> 0 mV
RCA
> 0 mV
NA
<= 0 mV
LAD
<= 0 mV
> 0 mV
NA
RCA
<= 0 mV
<= 0 mV
NA
circumflex
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Purpose: To evaluate an extended ECG from a patient with an acute myocardial infarction (AMI) to identify the occluded vessel as described by Lehmann et al.
