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

File: <base>/training/georgia/g5/E04053.hea (719 bytes) 
E04053 12 500 5000
E04053.mat 16x1+24 1000.0(0)/mV 16 0 48 -9248 0 I
E04053.mat 16x1+24 1000.0(0)/mV 16 0 117 8497 0 II
E04053.mat 16x1+24 1000.0(0)/mV 16 0 68 16860 0 III
E04053.mat 16x1+24 1000.0(0)/mV 16 0 -82 395 0 aVR
E04053.mat 16x1+24 1000.0(0)/mV 16 0 -9 19917 0 aVL
E04053.mat 16x1+24 1000.0(0)/mV 16 0 92 -20130 0 aVF
E04053.mat 16x1+24 1000.0(0)/mV 16 0 -97 28809 0 V1
E04053.mat 16x1+24 1000.0(0)/mV 16 0 -9 17812 0 V2
E04053.mat 16x1+24 1000.0(0)/mV 16 0 97 -23258 0 V3
E04053.mat 16x1+24 1000.0(0)/mV 16 0 165 20531 0 V4
E04053.mat 16x1+24 1000.0(0)/mV 16 0 117 17143 0 V5
E04053.mat 16x1+24 1000.0(0)/mV 16 0 78 7825 0 V6
# Age: 79
# Sex: Female
# Dx: 59118001,67741000119109
# Rx: Unknown
# Hx: Unknown