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

File: <base>/training/georgia/g5/E04073.hea (706 bytes) 
E04073 12 500 5000
E04073.mat 16x1+24 1000.0(0)/mV 16 0 87 -8100 0 I
E04073.mat 16x1+24 1000.0(0)/mV 16 0 19 -30884 0 II
E04073.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21917 0 III
E04073.mat 16x1+24 1000.0(0)/mV 16 0 -53 19546 0 aVR
E04073.mat 16x1+24 1000.0(0)/mV 16 0 78 6973 0 aVL
E04073.mat 16x1+24 1000.0(0)/mV 16 0 -24 -26710 0 aVF
E04073.mat 16x1+24 1000.0(0)/mV 16 0 -156 1487 0 V1
E04073.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10083 0 V2
E04073.mat 16x1+24 1000.0(0)/mV 16 0 48 -5125 0 V3
E04073.mat 16x1+24 1000.0(0)/mV 16 0 87 28339 0 V4
E04073.mat 16x1+24 1000.0(0)/mV 16 0 97 -269 0 V5
E04073.mat 16x1+24 1000.0(0)/mV 16 0 78 -10666 0 V6
# Age: 74
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown