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

File: <base>/training/georgia/g9/E08033.hea (708 bytes) 
E08033 12 500 5000
E08033.mat 16x1+24 1000.0(0)/mV 16 0 9 -19148 0 I
E08033.mat 16x1+24 1000.0(0)/mV 16 0 9 3188 0 II
E08033.mat 16x1+24 1000.0(0)/mV 16 0 0 22668 0 III
E08033.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24768 0 aVR
E08033.mat 16x1+24 1000.0(0)/mV 16 0 4 -20745 0 aVL
E08033.mat 16x1+24 1000.0(0)/mV 16 0 4 -19634 0 aVF
E08033.mat 16x1+24 1000.0(0)/mV 16 0 58 -23044 0 V1
E08033.mat 16x1+24 1000.0(0)/mV 16 0 29 12998 0 V2
E08033.mat 16x1+24 1000.0(0)/mV 16 0 9 -28353 0 V3
E08033.mat 16x1+24 1000.0(0)/mV 16 0 -39 19792 0 V4
E08033.mat 16x1+24 1000.0(0)/mV 16 0 -29 32044 0 V5
E08033.mat 16x1+24 1000.0(0)/mV 16 0 -107 22277 0 V6
# Age: 65
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown