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

File: <base>/training/georgia/g6/E05579.hea (717 bytes)
E05579 12 500 5000
E05579.mat 16x1+24 1000.0(0)/mV 16 0 97 -29757 0 I
E05579.mat 16x1+24 1000.0(0)/mV 16 0 185 9848 0 II
E05579.mat 16x1+24 1000.0(0)/mV 16 0 87 -24730 0 III
E05579.mat 16x1+24 1000.0(0)/mV 16 0 -141 -22848 0 aVR
E05579.mat 16x1+24 1000.0(0)/mV 16 0 4 -2275 0 aVL
E05579.mat 16x1+24 1000.0(0)/mV 16 0 136 25495 0 aVF
E05579.mat 16x1+24 1000.0(0)/mV 16 0 107 -32290 0 V1
E05579.mat 16x1+24 1000.0(0)/mV 16 0 468 32493 0 V2
E05579.mat 16x1+24 1000.0(0)/mV 16 0 653 6498 0 V3
E05579.mat 16x1+24 1000.0(0)/mV 16 0 507 -7241 0 V4
E05579.mat 16x1+24 1000.0(0)/mV 16 0 292 17917 0 V5
E05579.mat 16x1+24 1000.0(0)/mV 16 0 165 -22745 0 V6
# Age: 53
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown