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

File: <base>/training/georgia/g9/E08072.hea (722 bytes) 
E08072 12 500 5000
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -68 -9213 0 I
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -175 1232 0 II
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -107 10745 0 III
E08072.mat 16x1+24 1000.0(0)/mV 16 0 122 3839 0 aVR
E08072.mat 16x1+24 1000.0(0)/mV 16 0 19 22706 0 aVL
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -141 -26646 0 aVF
E08072.mat 16x1+24 1000.0(0)/mV 16 0 370 4542 0 V1
E08072.mat 16x1+24 1000.0(0)/mV 16 0 126 -15836 0 V2
E08072.mat 16x1+24 1000.0(0)/mV 16 0 97 -386 0 V3
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -29 9986 0 V4
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -126 15943 0 V5
E08072.mat 16x1+24 1000.0(0)/mV 16 0 -234 15968 0 V6
# Age: 71
# Sex: Male
# Dx: 428417006,164931005
# Rx: Unknown
# Hx: Unknown