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

File: <base>/training/georgia/g4/E03871.hea (729 bytes) 
E03871 12 500 5000
E03871.mat 16x1+24 1000.0(0)/mV 16 0 87 21338 0 I
E03871.mat 16x1+24 1000.0(0)/mV 16 0 195 -12667 0 II
E03871.mat 16x1+24 1000.0(0)/mV 16 0 107 31416 0 III
E03871.mat 16x1+24 1000.0(0)/mV 16 0 -141 -4292 0 aVR
E03871.mat 16x1+24 1000.0(0)/mV 16 0 -9 27543 0 aVL
E03871.mat 16x1+24 1000.0(0)/mV 16 0 151 -23205 0 aVF
E03871.mat 16x1+24 1000.0(0)/mV 16 0 0 -6139 0 V1
E03871.mat 16x1+24 1000.0(0)/mV 16 0 224 13227 0 V2
E03871.mat 16x1+24 1000.0(0)/mV 16 0 136 7958 0 V3
E03871.mat 16x1+24 1000.0(0)/mV 16 0 117 -1593 0 V4
E03871.mat 16x1+24 1000.0(0)/mV 16 0 117 6622 0 V5
E03871.mat 16x1+24 1000.0(0)/mV 16 0 302 -6903 0 V6
# Age: 72
# Sex: Male
# Dx: 428750005,111975006,164930006
# Rx: Unknown
# Hx: Unknown