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

File: <base>/training/georgia/g10/E09727.hea (737 bytes) 
E09727 12 500 5000
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19867 0 I
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21731 0 II
E09727.mat 16x1+24 1000.0(0)/mV 16 0 9 -1356 0 III
E09727.mat 16x1+24 1000.0(0)/mV 16 0 14 20837 0 aVR
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -14 -9155 0 aVL
E09727.mat 16x1+24 1000.0(0)/mV 16 0 0 -11494 0 aVF
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24707 0 V1
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -29 17096 0 V2
E09727.mat 16x1+24 1000.0(0)/mV 16 0 29 -25934 0 V3
E09727.mat 16x1+24 1000.0(0)/mV 16 0 9 29740 0 V4
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27538 0 V5
E09727.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29195 0 V6
# Age: 71
# Sex: Male
# Dx: 39732003,426434006,164934002,164873001
# Rx: Unknown
# Hx: Unknown