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

File: <base>/training/georgia/g10/E09364.hea (728 bytes) 
E09364 12 500 5000
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -126 23728 0 I
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -185 -30653 0 II
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -58 12049 0 III
E09364.mat 16x1+24 1000.0(0)/mV 16 0 156 -29243 0 aVR
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -34 -26223 0 aVL
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -122 -9226 0 aVF
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28869 0 V1
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -9 3506 0 V2
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -78 6803 0 V3
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -136 26418 0 V4
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -175 28424 0 V5
E09364.mat 16x1+24 1000.0(0)/mV 16 0 -78 21317 0 V6
# Age: 76
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown