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

File: <base>/training/georgia/g9/E08541.hea (712 bytes) 
E08541 12 500 5000
E08541.mat 16x1+24 1000.0(0)/mV 16 0 214 16743 0 I
E08541.mat 16x1+24 1000.0(0)/mV 16 0 224 27541 0 II
E08541.mat 16x1+24 1000.0(0)/mV 16 0 9 10786 0 III
E08541.mat 16x1+24 1000.0(0)/mV 16 0 -219 -22190 0 aVR
E08541.mat 16x1+24 1000.0(0)/mV 16 0 102 3407 0 aVL
E08541.mat 16x1+24 1000.0(0)/mV 16 0 117 19391 0 aVF
E08541.mat 16x1+24 1000.0(0)/mV 16 0 -117 10401 0 V1
E08541.mat 16x1+24 1000.0(0)/mV 16 0 136 12328 0 V2
E08541.mat 16x1+24 1000.0(0)/mV 16 0 273 26872 0 V3
E08541.mat 16x1+24 1000.0(0)/mV 16 0 302 -23407 0 V4
E08541.mat 16x1+24 1000.0(0)/mV 16 0 341 8780 0 V5
E08541.mat 16x1+24 1000.0(0)/mV 16 0 234 10673 0 V6
# Age: 55
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown