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

File: <base>/training/georgia/g2/E01472.hea (735 bytes) 
E01472 12 500 5000
E01472.mat 16x1+24 1000.0(0)/mV 16 0 -48 -26531 0 I
E01472.mat 16x1+24 1000.0(0)/mV 16 0 0 -22752 0 II
E01472.mat 16x1+24 1000.0(0)/mV 16 0 48 2872 0 III
E01472.mat 16x1+24 1000.0(0)/mV 16 0 24 24480 0 aVR
E01472.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14493 0 aVL
E01472.mat 16x1+24 1000.0(0)/mV 16 0 24 -9664 0 aVF
E01472.mat 16x1+24 1000.0(0)/mV 16 0 68 -8691 0 V1
E01472.mat 16x1+24 1000.0(0)/mV 16 0 87 29937 0 V2
E01472.mat 16x1+24 1000.0(0)/mV 16 0 68 18643 0 V3
E01472.mat 16x1+24 1000.0(0)/mV 16 0 19 12086 0 V4
E01472.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26716 0 V5
E01472.mat 16x1+24 1000.0(0)/mV 16 0 29 -13315 0 V6
# Age: 79
# Sex: Male
# Dx: 111975006,164930006,284470004,284470004
# Rx: Unknown
# Hx: Unknown