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

File: <base>/training/georgia/g5/E04723.hea (742 bytes) 
E04723 12 500 5000
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -97 25204 0 I
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -107 -27454 0 II
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -9 13109 0 III
E04723.mat 16x1+24 1000.0(0)/mV 16 0 102 -31955 0 aVR
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -43 -26646 0 aVL
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7230 0 aVF
E04723.mat 16x1+24 1000.0(0)/mV 16 0 117 19891 0 V1
E04723.mat 16x1+24 1000.0(0)/mV 16 0 97 4624 0 V2
E04723.mat 16x1+24 1000.0(0)/mV 16 0 78 -8829 0 V3
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11132 0 V4
E04723.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1092 0 V5
E04723.mat 16x1+24 1000.0(0)/mV 16 0 9 -1908 0 V6
# Age: 64
# Sex: Female
# Dx: 39732003,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown