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

File: <base>/training/georgia/g10/E09106.hea (710 bytes) 
E09106 12 500 5000
E09106.mat 16x1+24 1000.0(0)/mV 16 0 0 22436 0 I
E09106.mat 16x1+24 1000.0(0)/mV 16 0 78 5792 0 II
E09106.mat 16x1+24 1000.0(0)/mV 16 0 78 -16472 0 III
E09106.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13979 0 aVR
E09106.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12530 0 aVL
E09106.mat 16x1+24 1000.0(0)/mV 16 0 78 27695 0 aVF
E09106.mat 16x1+24 1000.0(0)/mV 16 0 146 -28820 0 V1
E09106.mat 16x1+24 1000.0(0)/mV 16 0 204 31897 0 V2
E09106.mat 16x1+24 1000.0(0)/mV 16 0 146 -12101 0 V3
E09106.mat 16x1+24 1000.0(0)/mV 16 0 185 17809 0 V4
E09106.mat 16x1+24 1000.0(0)/mV 16 0 97 9372 0 V5
E09106.mat 16x1+24 1000.0(0)/mV 16 0 39 25691 0 V6
# Age: 51
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown