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

File: <base>/training/georgia/g10/E09306.hea (746 bytes) 
E09306 12 500 5000
E09306.mat 16x1+24 1000.0(0)/mV 16 0 -126 -12253 0 I
E09306.mat 16x1+24 1000.0(0)/mV 16 0 -78 3629 0 II
E09306.mat 16x1+24 1000.0(0)/mV 16 0 48 15131 0 III
E09306.mat 16x1+24 1000.0(0)/mV 16 0 102 4542 0 aVR
E09306.mat 16x1+24 1000.0(0)/mV 16 0 -87 19072 0 aVL
E09306.mat 16x1+24 1000.0(0)/mV 16 0 -14 -23705 0 aVF
E09306.mat 16x1+24 1000.0(0)/mV 16 0 39 -31366 0 V1
E09306.mat 16x1+24 1000.0(0)/mV 16 0 19 -27156 0 V2
E09306.mat 16x1+24 1000.0(0)/mV 16 0 -19 23900 0 V3
E09306.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3161 0 V4
E09306.mat 16x1+24 1000.0(0)/mV 16 0 0 -2451 0 V5
E09306.mat 16x1+24 1000.0(0)/mV 16 0 204 -3976 0 V6
# Age: 69
# Sex: Female
# Dx: 67741000119109,427084000,59931005,164934002
# Rx: Unknown
# Hx: Unknown