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

File: <base>/training/georgia/g9/E08318.hea (706 bytes) 
E08318 12 500 5000
E08318.mat 16x1+24 1000.0(0)/mV 16 0 58 -15082 0 I
E08318.mat 16x1+24 1000.0(0)/mV 16 0 117 2830 0 II
E08318.mat 16x1+24 1000.0(0)/mV 16 0 58 19079 0 III
E08318.mat 16x1+24 1000.0(0)/mV 16 0 -87 -26760 0 aVR
E08318.mat 16x1+24 1000.0(0)/mV 16 0 0 15549 0 aVL
E08318.mat 16x1+24 1000.0(0)/mV 16 0 87 11067 0 aVF
E08318.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10256 0 V1
E08318.mat 16x1+24 1000.0(0)/mV 16 0 0 -12264 0 V2
E08318.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22404 0 V3
E08318.mat 16x1+24 1000.0(0)/mV 16 0 48 4952 0 V4
E08318.mat 16x1+24 1000.0(0)/mV 16 0 87 -4640 0 V5
E08318.mat 16x1+24 1000.0(0)/mV 16 0 58 4163 0 V6
# Age: 60
# Sex: Female
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown