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

File: <base>/training/georgia/g9/E08963.hea (717 bytes) 
E08963 12 500 5000
E08963.mat 16x1+24 1000.0(0)/mV 16 0 165 -24144 0 I
E08963.mat 16x1+24 1000.0(0)/mV 16 0 566 -29407 0 II
E08963.mat 16x1+24 1000.0(0)/mV 16 0 400 -5503 0 III
E08963.mat 16x1+24 1000.0(0)/mV 16 0 -366 26721 0 aVR
E08963.mat 16x1+24 1000.0(0)/mV 16 0 -117 -9074 0 aVL
E08963.mat 16x1+24 1000.0(0)/mV 16 0 483 -17265 0 aVF
E08963.mat 16x1+24 1000.0(0)/mV 16 0 -468 8064 0 V1
E08963.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19582 0 V2
E08963.mat 16x1+24 1000.0(0)/mV 16 0 175 14974 0 V3
E08963.mat 16x1+24 1000.0(0)/mV 16 0 341 9786 0 V4
E08963.mat 16x1+24 1000.0(0)/mV 16 0 458 18848 0 V5
E08963.mat 16x1+24 1000.0(0)/mV 16 0 370 31898 0 V6
# Age: 60
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown