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

File: <base>/training/georgia/g10/E09339.hea (719 bytes) 
E09339 12 500 5000
E09339.mat 16x1+24 1000.0(0)/mV 16 0 82 21875 0 I
E09339.mat 16x1+24 1000.0(0)/mV 16 0 4 -3106 0 II
E09339.mat 16x1+24 1000.0(0)/mV 16 0 -78 -25127 0 III
E09339.mat 16x1+24 1000.0(0)/mV 16 0 -43 -9436 0 aVR
E09339.mat 16x1+24 1000.0(0)/mV 16 0 80 23355 0 aVL
E09339.mat 16x1+24 1000.0(0)/mV 16 0 -36 -13959 0 aVF
E09339.mat 16x1+24 1000.0(0)/mV 16 0 -4 30956 0 V1
E09339.mat 16x1+24 1000.0(0)/mV 16 0 102 21237 0 V2
E09339.mat 16x1+24 1000.0(0)/mV 16 0 107 22852 0 V3
E09339.mat 16x1+24 1000.0(0)/mV 16 0 87 28804 0 V4
E09339.mat 16x1+24 1000.0(0)/mV 16 0 82 -25450 0 V5
E09339.mat 16x1+24 1000.0(0)/mV 16 0 53 30433 0 V6
# Age: 60
# Sex: Female
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown