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

File: <base>/training/georgia/g10/E09108.hea (725 bytes) 
E09108 12 500 5000
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20902 0 I
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -136 -4378 0 II
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -126 17011 0 III
E09108.mat 16x1+24 1000.0(0)/mV 16 0 73 12407 0 aVR
E09108.mat 16x1+24 1000.0(0)/mV 16 0 58 -19672 0 aVL
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -131 6193 0 aVF
E09108.mat 16x1+24 1000.0(0)/mV 16 0 0 16423 0 V1
E09108.mat 16x1+24 1000.0(0)/mV 16 0 9 -24748 0 V2
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -24 -27698 0 V3
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -87 22738 0 V4
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -117 9718 0 V5
E09108.mat 16x1+24 1000.0(0)/mV 16 0 -78 3017 0 V6
# Age: 69
# Sex: Male
# Dx: 67741000119109,164934002
# Rx: Unknown
# Hx: Unknown