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

File: <base>/training/georgia/g10/E09838.hea (708 bytes) 
E09838 12 500 5000
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -48 4948 0 I
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23777 0 II
E09838.mat 16x1+24 1000.0(0)/mV 16 0 9 -28734 0 III
E09838.mat 16x1+24 1000.0(0)/mV 16 0 43 9225 0 aVR
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -29 16865 0 aVL
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -14 -26166 0 aVF
E09838.mat 16x1+24 1000.0(0)/mV 16 0 39 -17279 0 V1
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -58 -6325 0 V2
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -29 31082 0 V3
E09838.mat 16x1+24 1000.0(0)/mV 16 0 9 20445 0 V4
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -29 27103 0 V5
E09838.mat 16x1+24 1000.0(0)/mV 16 0 -29 26483 0 V6
# Age: 68
# Sex: Male
# Dx: 164890007
# Rx: Unknown
# Hx: Unknown