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

File: <base>/training/georgia/g10/E09646.hea (756 bytes) 
E09646 12 500 5000
E09646.mat 16x1+24 1000.0(0)/mV 16 0 214 -4197 0 I
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21083 0 II
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -312 -17228 0 III
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -58 -20071 0 aVR
E09646.mat 16x1+24 1000.0(0)/mV 16 0 263 -26158 0 aVL
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -204 -19371 0 aVF
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -146 -21822 0 V1
E09646.mat 16x1+24 1000.0(0)/mV 16 0 87 -20700 0 V2
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -273 30450 0 V3
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -175 -1047 0 V4
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -126 22156 0 V5
E09646.mat 16x1+24 1000.0(0)/mV 16 0 -87 -24420 0 V6
# Age: 68
# Sex: Female
# Dx: 713427006,59118001,164917005,164890007
# Rx: Unknown
# Hx: Unknown