Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g2/E01442.hea (724 bytes) 
E01442 12 500 5000
E01442.mat 16x1+24 1000.0(0)/mV 16 0 29 -3326 0 I
E01442.mat 16x1+24 1000.0(0)/mV 16 0 58 4391 0 II
E01442.mat 16x1+24 1000.0(0)/mV 16 0 29 6821 0 III
E01442.mat 16x1+24 1000.0(0)/mV 16 0 -43 32567 0 aVR
E01442.mat 16x1+24 1000.0(0)/mV 16 0 0 27889 0 aVL
E01442.mat 16x1+24 1000.0(0)/mV 16 0 43 5839 0 aVF
E01442.mat 16x1+24 1000.0(0)/mV 16 0 3523 -30865 0 V1
E01442.mat 16x1+24 1000.0(0)/mV 16 0 156 2805 0 V2
E01442.mat 16x1+24 1000.0(0)/mV 16 0 175 -23916 0 V3
E01442.mat 16x1+24 1000.0(0)/mV 16 0 39 -23160 0 V4
E01442.mat 16x1+24 1000.0(0)/mV 16 0 39 -27298 0 V5
E01442.mat 16x1+24 1000.0(0)/mV 16 0 48 -32690 0 V6
# Age: 46
# Sex: Male
# Dx: 17338001,428750005,427084000
# Rx: Unknown
# Hx: Unknown