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

File: <base>/training/georgia/g6/E05322.hea (719 bytes) 
E05322 12 500 5000
E05322.mat 16x1+24 1000.0(0)/mV 16 0 644 1062 0 I
E05322.mat 16x1+24 1000.0(0)/mV 16 0 683 6174 0 II
E05322.mat 16x1+24 1000.0(0)/mV 16 0 39 6388 0 III
E05322.mat 16x1+24 1000.0(0)/mV 16 0 -663 -3393 0 aVR
E05322.mat 16x1+24 1000.0(0)/mV 16 0 302 -2902 0 aVL
E05322.mat 16x1+24 1000.0(0)/mV 16 0 361 6452 0 aVF
E05322.mat 16x1+24 1000.0(0)/mV 16 0 -1034 -721 0 V1
E05322.mat 16x1+24 1000.0(0)/mV 16 0 -224 -7043 0 V2
E05322.mat 16x1+24 1000.0(0)/mV 16 0 0 -5949 0 V3
E05322.mat 16x1+24 1000.0(0)/mV 16 0 702 -20641 0 V4
E05322.mat 16x1+24 1000.0(0)/mV 16 0 917 2979 0 V5
E05322.mat 16x1+24 1000.0(0)/mV 16 0 839 -15233 0 V6
# Age: 53
# Sex: Male
# Dx: 426434006,164934002
# Rx: Unknown
# Hx: Unknown