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

File: <base>/training/georgia/g4/E03872.hea (749 bytes) 
E03872 12 500 5000
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -29 18180 0 I
E03872.mat 16x1+24 1000.0(0)/mV 16 0 39 -10232 0 II
E03872.mat 16x1+24 1000.0(0)/mV 16 0 68 -29642 0 III
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -4 28760 0 aVR
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -48 23925 0 aVL
E03872.mat 16x1+24 1000.0(0)/mV 16 0 53 13304 0 aVF
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -39 10211 0 V1
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -48 -2138 0 V2
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8334 0 V3
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15481 0 V4
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -78 -16153 0 V5
E03872.mat 16x1+24 1000.0(0)/mV 16 0 -39 8154 0 V6
# Age: 60
# Sex: Male
# Dx: 713426002,713427006,59118001,425623009,164934002
# Rx: Unknown
# Hx: Unknown