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

File: <base>/training/georgia/g9/E08437.hea (699 bytes) 
E08437 12 500 5000
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -34 3814 0 I
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -29 7438 0 II
E08437.mat 16x1+24 1000.0(0)/mV 16 0 4 4339 0 III
E08437.mat 16x1+24 1000.0(0)/mV 16 0 31 -5747 0 aVR
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -19 463 0 aVL
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -12 5989 0 aVF
E08437.mat 16x1+24 1000.0(0)/mV 16 0 9 -23629 0 V1
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -19 -397 0 V2
E08437.mat 16x1+24 1000.0(0)/mV 16 0 9 -11371 0 V3
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6049 0 V4
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -19 5990 0 V5
E08437.mat 16x1+24 1000.0(0)/mV 16 0 -24 -12873 0 V6
# Age: 35
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown