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

File: <base>/training/georgia/g1/E00536.hea (711 bytes) 
E00536 12 500 5000
E00536.mat 16x1+24 1000.0(0)/mV 16 0 -48 1269 0 I
E00536.mat 16x1+24 1000.0(0)/mV 16 0 -39 426 0 II
E00536.mat 16x1+24 1000.0(0)/mV 16 0 9 -1910 0 III
E00536.mat 16x1+24 1000.0(0)/mV 16 0 43 -858 0 aVR
E00536.mat 16x1+24 1000.0(0)/mV 16 0 -29 1781 0 aVL
E00536.mat 16x1+24 1000.0(0)/mV 16 0 -14 -425 0 aVF
E00536.mat 16x1+24 1000.0(0)/mV 16 0 34 -26787 0 V1
E00536.mat 16x1+24 1000.0(0)/mV 16 0 9 -16155 0 V2
E00536.mat 16x1+24 1000.0(0)/mV 16 0 24 -31839 0 V3
E00536.mat 16x1+24 1000.0(0)/mV 16 0 14 24930 0 V4
E00536.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6346 0 V5
E00536.mat 16x1+24 1000.0(0)/mV 16 0 -29 3542 0 V6
# Age: 51
# Sex: Female
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown