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

File: <base>/training/georgia/g6/E05906.hea (728 bytes) 
E05906 12 500 5000
E05906.mat 16x1+24 1000.0(0)/mV 16 0 19 30934 0 I
E05906.mat 16x1+24 1000.0(0)/mV 16 0 58 -14640 0 II
E05906.mat 16x1+24 1000.0(0)/mV 16 0 39 19945 0 III
E05906.mat 16x1+24 1000.0(0)/mV 16 0 -39 24519 0 aVR
E05906.mat 16x1+24 1000.0(0)/mV 16 0 -9 5722 0 aVL
E05906.mat 16x1+24 1000.0(0)/mV 16 0 48 -30016 0 aVF
E05906.mat 16x1+24 1000.0(0)/mV 16 0 107 11812 0 V1
E05906.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14498 0 V2
E05906.mat 16x1+24 1000.0(0)/mV 16 0 146 -3157 0 V3
E05906.mat 16x1+24 1000.0(0)/mV 16 0 107 7517 0 V4
E05906.mat 16x1+24 1000.0(0)/mV 16 0 175 5411 0 V5
E05906.mat 16x1+24 1000.0(0)/mV 16 0 126 -4931 0 V6
# Age: 51
# Sex: Female
# Dx: 164889003,59931005,251146004
# Rx: Unknown
# Hx: Unknown