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

File: <base>/training/georgia/g3/E02674.hea (717 bytes)
E02674 12 500 5000
E02674.mat 16x1+24 1000.0(0)/mV 16 0 78 -29414 0 I
E02674.mat 16x1+24 1000.0(0)/mV 16 0 107 -14690 0 II
E02674.mat 16x1+24 1000.0(0)/mV 16 0 29 15070 0 III
E02674.mat 16x1+24 1000.0(0)/mV 16 0 -92 22040 0 aVR
E02674.mat 16x1+24 1000.0(0)/mV 16 0 24 10766 0 aVL
E02674.mat 16x1+24 1000.0(0)/mV 16 0 68 -32638 0 aVF
E02674.mat 16x1+24 1000.0(0)/mV 16 0 -9 3367 0 V1
E02674.mat 16x1+24 1000.0(0)/mV 16 0 -185 31918 0 V2
E02674.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23050 0 V3
E02674.mat 16x1+24 1000.0(0)/mV 16 0 0 -10110 0 V4
E02674.mat 16x1+24 1000.0(0)/mV 16 0 -19 29032 0 V5
E02674.mat 16x1+24 1000.0(0)/mV 16 0 -9 13848 0 V6
# Age: 66
# Sex: Male
# Dx: 59118001,427084000
# Rx: Unknown
# Hx: Unknown