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

File: <base>/training/georgia/g4/E03972.hea (746 bytes) 
E03972 12 500 5000
E03972.mat 16x1+24 1000.0(0)/mV 16 0 478 725 0 I
E03972.mat 16x1+24 1000.0(0)/mV 16 0 39 -19757 0 II
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -439 -19954 0 III
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -258 -23200 0 aVR
E03972.mat 16x1+24 1000.0(0)/mV 16 0 458 10435 0 aVL
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -200 12903 0 aVF
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -224 1682 0 V1
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -39 182 0 V2
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -263 6634 0 V3
E03972.mat 16x1+24 1000.0(0)/mV 16 0 -9 5603 0 V4
E03972.mat 16x1+24 1000.0(0)/mV 16 0 263 15400 0 V5
E03972.mat 16x1+24 1000.0(0)/mV 16 0 253 -23169 0 V6
# Age: 49
# Sex: Male
# Dx: 59118001,67741000119109,425623009,164917005
# Rx: Unknown
# Hx: Unknown