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

File: <base>/training/georgia/g10/E09852.hea (738 bytes) 
E09852 12 500 5000
E09852.mat 16x1+24 1000.0(0)/mV 16 0 87 11450 0 I
E09852.mat 16x1+24 1000.0(0)/mV 16 0 68 -28920 0 II
E09852.mat 16x1+24 1000.0(0)/mV 16 0 -19 24816 0 III
E09852.mat 16x1+24 1000.0(0)/mV 16 0 -78 8406 0 aVR
E09852.mat 16x1+24 1000.0(0)/mV 16 0 53 26131 0 aVL
E09852.mat 16x1+24 1000.0(0)/mV 16 0 24 31091 0 aVF
E09852.mat 16x1+24 1000.0(0)/mV 16 0 -195 -18860 0 V1
E09852.mat 16x1+24 1000.0(0)/mV 16 0 -58 31273 0 V2
E09852.mat 16x1+24 1000.0(0)/mV 16 0 204 -26559 0 V3
E09852.mat 16x1+24 1000.0(0)/mV 16 0 92 16582 0 V4
E09852.mat 16x1+24 1000.0(0)/mV 16 0 87 19044 0 V5
E09852.mat 16x1+24 1000.0(0)/mV 16 0 9 8108 0 V6
# Age: 55
# Sex: Female
# Dx: 426177001,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown