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

File: <base>/training/georgia/g3/E02908.hea (727 bytes) 
E02908 12 500 5000
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10427 0 I
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -78 -4779 0 II
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -29 6979 0 III
E02908.mat 16x1+24 1000.0(0)/mV 16 0 63 7499 0 aVR
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8557 0 aVL
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -53 1147 0 aVF
E02908.mat 16x1+24 1000.0(0)/mV 16 0 9 -21233 0 V1
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -68 -5155 0 V2
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -78 13715 0 V3
E02908.mat 16x1+24 1000.0(0)/mV 16 0 -39 -18432 0 V4
E02908.mat 16x1+24 1000.0(0)/mV 16 0 48 -29123 0 V5
E02908.mat 16x1+24 1000.0(0)/mV 16 0 9 -30058 0 V6
# Age: 57
# Sex: Male
# Dx: 425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown