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

File: <base>/training/georgia/g10/E09759.hea (717 bytes) 
E09759 12 500 5000
E09759.mat 16x1+24 1000.0(0)/mV 16 0 0 -32027 0 I
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28019 0 II
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -19 4360 0 III
E09759.mat 16x1+24 1000.0(0)/mV 16 0 9 29914 0 aVR
E09759.mat 16x1+24 1000.0(0)/mV 16 0 9 14750 0 aVL
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -19 21145 0 aVF
E09759.mat 16x1+24 1000.0(0)/mV 16 0 48 29787 0 V1
E09759.mat 16x1+24 1000.0(0)/mV 16 0 0 10300 0 V2
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -68 14684 0 V3
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -136 27818 0 V4
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -107 26866 0 V5
E09759.mat 16x1+24 1000.0(0)/mV 16 0 -58 -32100 0 V6
# Age: 55
# Sex: Male
# Dx: 426177001,284470004
# Rx: Unknown
# Hx: Unknown