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

File: <base>/training/georgia/g6/E05112.hea (722 bytes)
E05112 12 500 5000
E05112.mat 16x1+24 1000.0(0)/mV 16 0 29 4299 0 I
E05112.mat 16x1+24 1000.0(0)/mV 16 0 -48 24753 0 II
E05112.mat 16x1+24 1000.0(0)/mV 16 0 -78 21013 0 III
E05112.mat 16x1+24 1000.0(0)/mV 16 0 9 18215 0 aVR
E05112.mat 16x1+24 1000.0(0)/mV 16 0 53 23777 0 aVL
E05112.mat 16x1+24 1000.0(0)/mV 16 0 -63 22941 0 aVF
E05112.mat 16x1+24 1000.0(0)/mV 16 0 9 -26257 0 V1
E05112.mat 16x1+24 1000.0(0)/mV 16 0 97 -20329 0 V2
E05112.mat 16x1+24 1000.0(0)/mV 16 0 146 6297 0 V3
E05112.mat 16x1+24 1000.0(0)/mV 16 0 78 26345 0 V4
E05112.mat 16x1+24 1000.0(0)/mV 16 0 87 25700 0 V5
E05112.mat 16x1+24 1000.0(0)/mV 16 0 78 28728 0 V6
# Age: 48
# Sex: Male
# Dx: 425419005,426434006,164934002
# Rx: Unknown
# Hx: Unknown