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

File: <base>/training/georgia/g6/E05861.hea (715 bytes) 
E05861 12 500 5000
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -68 -18597 0 I
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -141 -13187 0 II
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -73 5720 0 III
E05861.mat 16x1+24 1000.0(0)/mV 16 0 104 15880 0 aVR
E05861.mat 16x1+24 1000.0(0)/mV 16 0 2 -12330 0 aVL
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -107 -3619 0 aVF
E05861.mat 16x1+24 1000.0(0)/mV 16 0 48 5762 0 V1
E05861.mat 16x1+24 1000.0(0)/mV 16 0 24 -1400 0 V2
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -131 -5268 0 V3
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -165 -11196 0 V4
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -156 -68 0 V5
E05861.mat 16x1+24 1000.0(0)/mV 16 0 -151 5861 0 V6
# Age: 47
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown