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

File: <base>/training/georgia/g10/E09745.hea (735 bytes) 
E09745 12 500 5000
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19119 0 I
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -24 -10665 0 II
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -9 9272 0 III
E09745.mat 16x1+24 1000.0(0)/mV 16 0 19 14840 0 aVR
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -2 -14651 0 aVL
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -17 -768 0 aVF
E09745.mat 16x1+24 1000.0(0)/mV 16 0 63 30623 0 V1
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -24 -21720 0 V2
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9004 0 V3
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -102 -9899 0 V4
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -175 1654 0 V5
E09745.mat 16x1+24 1000.0(0)/mV 16 0 -170 -22008 0 V6
# Age: 50
# Sex: Female
# Dx: 428750005,111975006,164930006
# Rx: Unknown
# Hx: Unknown