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

File: <base>/training/georgia/g9/E08093.hea (713 bytes) 
E08093 12 500 5000
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -48 11806 0 I
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -126 15120 0 II
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -78 2996 0 III
E08093.mat 16x1+24 1000.0(0)/mV 16 0 87 19331 0 aVR
E08093.mat 16x1+24 1000.0(0)/mV 16 0 14 4521 0 aVL
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -102 -23909 0 aVF
E08093.mat 16x1+24 1000.0(0)/mV 16 0 165 1120 0 V1
E08093.mat 16x1+24 1000.0(0)/mV 16 0 185 -20599 0 V2
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -29 30324 0 V3
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -19 21175 0 V4
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -136 -20060 0 V5
E08093.mat 16x1+24 1000.0(0)/mV 16 0 -117 3334 0 V6
# Age: 60
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown