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

File: <base>/training/georgia/g5/E04524.hea (730 bytes) 
E04524 12 500 5000
E04524.mat 16x1+24 1000.0(0)/mV 16 0 4 23804 0 I
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -82 -32007 0 II
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -87 9944 0 III
E04524.mat 16x1+24 1000.0(0)/mV 16 0 39 3919 0 aVR
E04524.mat 16x1+24 1000.0(0)/mV 16 0 46 -26088 0 aVL
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -85 21817 0 aVF
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -34 -7287 0 V1
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -82 -13013 0 V2
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -122 15091 0 V3
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -92 30708 0 V4
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -102 9716 0 V5
E04524.mat 16x1+24 1000.0(0)/mV 16 0 -97 -1381 0 V6
# Age: 73
# Sex: Male
# Dx: 270492004,426177001,111975006
# Rx: Unknown
# Hx: Unknown