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

File: <base>/training/georgia/g10/E09349.hea (725 bytes) 
E09349 12 500 5000
E09349.mat 16x1+24 1000.0(0)/mV 16 0 58 -1833 0 I
E09349.mat 16x1+24 1000.0(0)/mV 16 0 -175 25769 0 II
E09349.mat 16x1+24 1000.0(0)/mV 16 0 -234 28022 0 III
E09349.mat 16x1+24 1000.0(0)/mV 16 0 58 -11909 0 aVR
E09349.mat 16x1+24 1000.0(0)/mV 16 0 146 -15307 0 aVL
E09349.mat 16x1+24 1000.0(0)/mV 16 0 -204 26920 0 aVF
E09349.mat 16x1+24 1000.0(0)/mV 16 0 58 23491 0 V1
E09349.mat 16x1+24 1000.0(0)/mV 16 0 126 -29497 0 V2
E09349.mat 16x1+24 1000.0(0)/mV 16 0 165 30763 0 V3
E09349.mat 16x1+24 1000.0(0)/mV 16 0 175 -31703 0 V4
E09349.mat 16x1+24 1000.0(0)/mV 16 0 136 28397 0 V5
E09349.mat 16x1+24 1000.0(0)/mV 16 0 78 28541 0 V6
# Age: 77
# Sex: Male
# Dx: 425419005,164934002
# Rx: Unknown
# Hx: Unknown