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

File: <base>/training/georgia/g1/E00387.hea (710 bytes) 
E00387 12 500 5000
E00387.mat 16x1+24 1000.0(0)/mV 16 0 39 -3429 0 I
E00387.mat 16x1+24 1000.0(0)/mV 16 0 87 -19507 0 II
E00387.mat 16x1+24 1000.0(0)/mV 16 0 48 -15315 0 III
E00387.mat 16x1+24 1000.0(0)/mV 16 0 -63 -21422 0 aVR
E00387.mat 16x1+24 1000.0(0)/mV 16 0 -4 6340 0 aVL
E00387.mat 16x1+24 1000.0(0)/mV 16 0 68 15522 0 aVF
E00387.mat 16x1+24 1000.0(0)/mV 16 0 -87 19505 0 V1
E00387.mat 16x1+24 1000.0(0)/mV 16 0 19 29672 0 V2
E00387.mat 16x1+24 1000.0(0)/mV 16 0 126 -30847 0 V3
E00387.mat 16x1+24 1000.0(0)/mV 16 0 165 24912 0 V4
E00387.mat 16x1+24 1000.0(0)/mV 16 0 97 32452 0 V5
E00387.mat 16x1+24 1000.0(0)/mV 16 0 -78 22280 0 V6
# Age: 77
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown