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

File: <base>/training/georgia/g10/E09572.hea (723 bytes) 
E09572 12 500 5000
E09572.mat 16x1+24 1000.0(0)/mV 16 0 39 -27365 0 I
E09572.mat 16x1+24 1000.0(0)/mV 16 0 4 -8295 0 II
E09572.mat 16x1+24 1000.0(0)/mV 16 0 -34 18543 0 III
E09572.mat 16x1+24 1000.0(0)/mV 16 0 -21 17784 0 aVR
E09572.mat 16x1+24 1000.0(0)/mV 16 0 36 -23044 0 aVL
E09572.mat 16x1+24 1000.0(0)/mV 16 0 -14 5725 0 aVF
E09572.mat 16x1+24 1000.0(0)/mV 16 0 19 19256 0 V1
E09572.mat 16x1+24 1000.0(0)/mV 16 0 43 -7530 0 V2
E09572.mat 16x1+24 1000.0(0)/mV 16 0 63 5655 0 V3
E09572.mat 16x1+24 1000.0(0)/mV 16 0 165 -4313 0 V4
E09572.mat 16x1+24 1000.0(0)/mV 16 0 73 -92 0 V5
E09572.mat 16x1+24 1000.0(0)/mV 16 0 0 -19269 0 V6
# Age: 69
# Sex: Female
# Dx: 425419005,164934002,164873001
# Rx: Unknown
# Hx: Unknown