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

File: <base>/training/georgia/g10/E09523.hea (712 bytes) 
E09523 12 500 5000
E09523.mat 16x1+24 1000.0(0)/mV 16 0 43 24037 0 I
E09523.mat 16x1+24 1000.0(0)/mV 16 0 117 -3239 0 II
E09523.mat 16x1+24 1000.0(0)/mV 16 0 73 -27952 0 III
E09523.mat 16x1+24 1000.0(0)/mV 16 0 -80 22348 0 aVR
E09523.mat 16x1+24 1000.0(0)/mV 16 0 -14 25953 0 aVL
E09523.mat 16x1+24 1000.0(0)/mV 16 0 95 17227 0 aVF
E09523.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2197 0 V1
E09523.mat 16x1+24 1000.0(0)/mV 16 0 -48 857 0 V2
E09523.mat 16x1+24 1000.0(0)/mV 16 0 -4 8223 0 V3
E09523.mat 16x1+24 1000.0(0)/mV 16 0 39 3686 0 V4
E09523.mat 16x1+24 1000.0(0)/mV 16 0 43 788 0 V5
E09523.mat 16x1+24 1000.0(0)/mV 16 0 48 -5685 0 V6
# Age: 70
# Sex: Female
# Dx: 111975006,164921003
# Rx: Unknown
# Hx: Unknown