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

File: <base>/training/georgia/g9/E08992.hea (709 bytes) 
E08992 12 500 5000
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -63 -11728 0 I
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -34 -26710 0 II
E08992.mat 16x1+24 1000.0(0)/mV 16 0 29 -15524 0 III
E08992.mat 16x1+24 1000.0(0)/mV 16 0 48 19020 0 aVR
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -46 1904 0 aVL
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -2 -21142 0 aVF
E08992.mat 16x1+24 1000.0(0)/mV 16 0 34 -5708 0 V1
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -48 4942 0 V2
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -43 20215 0 V3
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -43 4836 0 V4
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -82 23107 0 V5
E08992.mat 16x1+24 1000.0(0)/mV 16 0 -53 17856 0 V6
# Age: 57
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown