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

File: <base>/training/georgia/g10/E09509.hea (733 bytes) 
E09509 12 500 5000
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -68 13675 0 I
E09509.mat 16x1+24 1000.0(0)/mV 16 0 531 -5760 0 II
E09509.mat 16x1+24 1000.0(0)/mV 16 0 600 -19086 0 III
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -231 -4042 0 aVR
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -334 15982 0 aVL
E09509.mat 16x1+24 1000.0(0)/mV 16 0 566 -12407 0 aVF
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -190 27345 0 V1
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -258 3380 0 V2
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -234 -31805 0 V3
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -312 4892 0 V4
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -278 13874 0 V5
E09509.mat 16x1+24 1000.0(0)/mV 16 0 -273 24934 0 V6
# Age: 81
# Sex: Female
# Dx: 164890007,164873001
# Rx: Unknown
# Hx: Unknown