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

File: <base>/training/georgia/g9/E08928.hea (709 bytes) 
E08928 12 500 5000
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12249 0 I
E08928.mat 16x1+24 1000.0(0)/mV 16 0 0 -29242 0 II
E08928.mat 16x1+24 1000.0(0)/mV 16 0 9 -16992 0 III
E08928.mat 16x1+24 1000.0(0)/mV 16 0 4 20677 0 aVR
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -9 2345 0 aVL
E08928.mat 16x1+24 1000.0(0)/mV 16 0 4 -23001 0 aVF
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21110 0 V1
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2554 0 V2
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -68 -21436 0 V3
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10779 0 V4
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11016 0 V5
E08928.mat 16x1+24 1000.0(0)/mV 16 0 -48 32307 0 V6
# Age: 85
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown