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

File: <base>/training/georgia/g10/E09100.hea (726 bytes) 
E09100 12 500 5000
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -68 24371 0 I
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -185 -7623 0 II
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -117 -30952 0 III
E09100.mat 16x1+24 1000.0(0)/mV 16 0 126 24317 0 aVR
E09100.mat 16x1+24 1000.0(0)/mV 16 0 24 27176 0 aVL
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -151 13664 0 aVF
E09100.mat 16x1+24 1000.0(0)/mV 16 0 87 26760 0 V1
E09100.mat 16x1+24 1000.0(0)/mV 16 0 24 -18621 0 V2
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -112 -27197 0 V3
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -161 121 0 V4
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -161 29845 0 V5
E09100.mat 16x1+24 1000.0(0)/mV 16 0 -112 5578 0 V6
# Age: 58
# Sex: Male
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown