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

File: <base>/training/georgia/g7/E06323.hea (724 bytes) 
E06323 12 500 5000
E06323.mat 16x1+24 1000.0(0)/mV 16 0 175 31014 0 I
E06323.mat 16x1+24 1000.0(0)/mV 16 0 -9 6139 0 II
E06323.mat 16x1+24 1000.0(0)/mV 16 0 -185 -25482 0 III
E06323.mat 16x1+24 1000.0(0)/mV 16 0 -82 14030 0 aVR
E06323.mat 16x1+24 1000.0(0)/mV 16 0 180 -4310 0 aVL
E06323.mat 16x1+24 1000.0(0)/mV 16 0 -97 -9716 0 aVF
E06323.mat 16x1+24 1000.0(0)/mV 16 0 0 -22689 0 V1
E06323.mat 16x1+24 1000.0(0)/mV 16 0 68 -18192 0 V2
E06323.mat 16x1+24 1000.0(0)/mV 16 0 185 -22456 0 V3
E06323.mat 16x1+24 1000.0(0)/mV 16 0 195 -28914 0 V4
E06323.mat 16x1+24 1000.0(0)/mV 16 0 195 7672 0 V5
E06323.mat 16x1+24 1000.0(0)/mV 16 0 126 23807 0 V6
# Age: 72
# Sex: Female
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown