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

File: <base>/training/georgia/g10/E09817.hea (754 bytes) 
E09817 12 500 5000
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25195 0 I
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -273 23886 0 II
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -263 -15611 0 III
E09817.mat 16x1+24 1000.0(0)/mV 16 0 141 -32011 0 aVR
E09817.mat 16x1+24 1000.0(0)/mV 16 0 126 -5524 0 aVL
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -268 -28617 0 aVF
E09817.mat 16x1+24 1000.0(0)/mV 16 0 126 -28267 0 V1
E09817.mat 16x1+24 1000.0(0)/mV 16 0 58 28483 0 V2
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11597 0 V3
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -97 22697 0 V4
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -126 19210 0 V5
E09817.mat 16x1+24 1000.0(0)/mV 16 0 -185 -22130 0 V6
# Age: 41
# Sex: Female
# Dx: 425419005,427084000,164917005,111975006
# Rx: Unknown
# Hx: Unknown