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

File: <base>/training/georgia/g10/E09725.hea (721 bytes) 
E09725 12 500 5000
E09725.mat 16x1+24 1000.0(0)/mV 16 0 0 -5560 0 I
E09725.mat 16x1+24 1000.0(0)/mV 16 0 -161 -24753 0 II
E09725.mat 16x1+24 1000.0(0)/mV 16 0 -161 -19556 0 III
E09725.mat 16x1+24 1000.0(0)/mV 16 0 80 14875 0 aVR
E09725.mat 16x1+24 1000.0(0)/mV 16 0 80 -25849 0 aVL
E09725.mat 16x1+24 1000.0(0)/mV 16 0 -161 10645 0 aVF
E09725.mat 16x1+24 1000.0(0)/mV 16 0 102 31434 0 V1
E09725.mat 16x1+24 1000.0(0)/mV 16 0 219 24935 0 V2
E09725.mat 16x1+24 1000.0(0)/mV 16 0 117 7907 0 V3
E09725.mat 16x1+24 1000.0(0)/mV 16 0 87 25806 0 V4
E09725.mat 16x1+24 1000.0(0)/mV 16 0 0 7278 0 V5
E09725.mat 16x1+24 1000.0(0)/mV 16 0 -24 22435 0 V6
# Age: 25
# Sex: Female
# Dx: 713426002,164934002
# Rx: Unknown
# Hx: Unknown