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

File: <base>/training/georgia/g10/E09326.hea (740 bytes) 
E09326 12 500 5000
E09326.mat 16x1+24 1000.0(0)/mV 16 0 0 18085 0 I
E09326.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22908 0 II
E09326.mat 16x1+24 1000.0(0)/mV 16 0 -39 24907 0 III
E09326.mat 16x1+24 1000.0(0)/mV 16 0 19 -30542 0 aVR
E09326.mat 16x1+24 1000.0(0)/mV 16 0 19 29436 0 aVL
E09326.mat 16x1+24 1000.0(0)/mV 16 0 -39 878 0 aVF
E09326.mat 16x1+24 1000.0(0)/mV 16 0 -58 23127 0 V1
E09326.mat 16x1+24 1000.0(0)/mV 16 0 146 868 0 V2
E09326.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4694 0 V3
E09326.mat 16x1+24 1000.0(0)/mV 16 0 0 -15474 0 V4
E09326.mat 16x1+24 1000.0(0)/mV 16 0 0 2025 0 V5
E09326.mat 16x1+24 1000.0(0)/mV 16 0 0 -19908 0 V6
# Age: 61
# Sex: Male
# Dx: 164884008,427084000,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown