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

File: <base>/training/georgia/g1/E00404.hea (710 bytes) 
E00404 12 500 5000
E00404.mat 16x1+24 1000.0(0)/mV 16 0 48 5982 0 I
E00404.mat 16x1+24 1000.0(0)/mV 16 0 97 22250 0 II
E00404.mat 16x1+24 1000.0(0)/mV 16 0 48 15853 0 III
E00404.mat 16x1+24 1000.0(0)/mV 16 0 -73 18588 0 aVR
E00404.mat 16x1+24 1000.0(0)/mV 16 0 0 27681 0 aVL
E00404.mat 16x1+24 1000.0(0)/mV 16 0 73 18994 0 aVF
E00404.mat 16x1+24 1000.0(0)/mV 16 0 29 -21477 0 V1
E00404.mat 16x1+24 1000.0(0)/mV 16 0 39 12894 0 V2
E00404.mat 16x1+24 1000.0(0)/mV 16 0 9 24501 0 V3
E00404.mat 16x1+24 1000.0(0)/mV 16 0 9 1191 0 V4
E00404.mat 16x1+24 1000.0(0)/mV 16 0 -9 25563 0 V5
E00404.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30372 0 V6
# Age: 50
# Sex: Female
# Dx: 713426002,39732003
# Rx: Unknown
# Hx: Unknown