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

File: <base>/training/georgia/g9/E08884.hea (712 bytes) 
E08884 12 500 5000
E08884.mat 16x1+24 1000.0(0)/mV 16 0 -78 28425 0 I
E08884.mat 16x1+24 1000.0(0)/mV 16 0 -107 26794 0 II
E08884.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1826 0 III
E08884.mat 16x1+24 1000.0(0)/mV 16 0 92 -27688 0 aVR
E08884.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17462 0 aVL
E08884.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20041 0 aVF
E08884.mat 16x1+24 1000.0(0)/mV 16 0 87 8911 0 V1
E08884.mat 16x1+24 1000.0(0)/mV 16 0 107 -28201 0 V2
E08884.mat 16x1+24 1000.0(0)/mV 16 0 87 2343 0 V3
E08884.mat 16x1+24 1000.0(0)/mV 16 0 58 3203 0 V4
E08884.mat 16x1+24 1000.0(0)/mV 16 0 68 21967 0 V5
E08884.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16164 0 V6
# Age: 49
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown