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

File: <base>/training/georgia/g5/E04223.hea (729 bytes) 
E04223 12 500 5000
E04223.mat 16x1+24 1000.0(0)/mV 16 0 -165 -4255 0 I
E04223.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1077 0 II
E04223.mat 16x1+24 1000.0(0)/mV 16 0 97 3140 0 III
E04223.mat 16x1+24 1000.0(0)/mV 16 0 117 2459 0 aVR
E04223.mat 16x1+24 1000.0(0)/mV 16 0 -131 -3609 0 aVL
E04223.mat 16x1+24 1000.0(0)/mV 16 0 14 516 0 aVF
E04223.mat 16x1+24 1000.0(0)/mV 16 0 117 -10695 0 V1
E04223.mat 16x1+24 1000.0(0)/mV 16 0 87 23013 0 V2
E04223.mat 16x1+24 1000.0(0)/mV 16 0 9 13854 0 V3
E04223.mat 16x1+24 1000.0(0)/mV 16 0 -107 3800 0 V4
E04223.mat 16x1+24 1000.0(0)/mV 16 0 -175 -10911 0 V5
E04223.mat 16x1+24 1000.0(0)/mV 16 0 -165 -19841 0 V6
# Age: 76
# Sex: Male
# Dx: 164873001,39732003,164890007
# Rx: Unknown
# Hx: Unknown