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

File: <base>/training/georgia/g2/E01903.hea (709 bytes) 
E01903 12 500 5000
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -48 -28048 0 I
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -53 -6888 0 II
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -4 22050 0 III
E01903.mat 16x1+24 1000.0(0)/mV 16 0 51 -15398 0 aVR
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -21 7401 0 aVL
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -29 7664 0 aVF
E01903.mat 16x1+24 1000.0(0)/mV 16 0 165 -14085 0 V1
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -82 27015 0 V2
E01903.mat 16x1+24 1000.0(0)/mV 16 0 29 -22500 0 V3
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -102 18688 0 V4
E01903.mat 16x1+24 1000.0(0)/mV 16 0 -9 5463 0 V5
E01903.mat 16x1+24 1000.0(0)/mV 16 0 48 -6495 0 V6
# Age: 64
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown