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

File: <base>/training/georgia/g9/E08442.hea (704 bytes) 
E08442 12 500 5000
E08442.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17692 0 I
E08442.mat 16x1+24 1000.0(0)/mV 16 0 -19 10974 0 II
E08442.mat 16x1+24 1000.0(0)/mV 16 0 0 28500 0 III
E08442.mat 16x1+24 1000.0(0)/mV 16 0 19 -29304 0 aVR
E08442.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22493 0 aVL
E08442.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12999 0 aVF
E08442.mat 16x1+24 1000.0(0)/mV 16 0 19 11811 0 V1
E08442.mat 16x1+24 1000.0(0)/mV 16 0 9 6137 0 V2
E08442.mat 16x1+24 1000.0(0)/mV 16 0 0 -19716 0 V3
E08442.mat 16x1+24 1000.0(0)/mV 16 0 -19 24659 0 V4
E08442.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6412 0 V5
E08442.mat 16x1+24 1000.0(0)/mV 16 0 29 27878 0 V6
# Age: 66
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown