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

File: <base>/training/georgia/g2/E01373.hea (711 bytes) 
E01373 12 500 5000
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -136 -29304 0 I
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -117 -15545 0 II
E01373.mat 16x1+24 1000.0(0)/mV 16 0 19 12945 0 III
E01373.mat 16x1+24 1000.0(0)/mV 16 0 126 22402 0 aVR
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -78 11698 0 aVL
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -48 31884 0 aVF
E01373.mat 16x1+24 1000.0(0)/mV 16 0 9 6398 0 V1
E01373.mat 16x1+24 1000.0(0)/mV 16 0 9 32084 0 V2
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -39 -890 0 V3
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -97 15514 0 V4
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -156 29762 0 V5
E01373.mat 16x1+24 1000.0(0)/mV 16 0 -136 30983 0 V6
# Age: 45
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown