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

File: <base>/training/georgia/g6/E05902.hea (710 bytes) 
E05902 12 500 5000
E05902.mat 16x1+24 1000.0(0)/mV 16 0 48 3504 0 I
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -48 -286 0 II
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2888 0 III
E05902.mat 16x1+24 1000.0(0)/mV 16 0 0 -1791 0 aVR
E05902.mat 16x1+24 1000.0(0)/mV 16 0 73 -30197 0 aVL
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -73 31238 0 aVF
E05902.mat 16x1+24 1000.0(0)/mV 16 0 78 -5719 0 V1
E05902.mat 16x1+24 1000.0(0)/mV 16 0 29 8675 0 V2
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14588 0 V3
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14617 0 V4
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30387 0 V5
E05902.mat 16x1+24 1000.0(0)/mV 16 0 -156 11341 0 V6
# Age: 55
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown