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

File: <base>/training/georgia/g10/E09623.hea (721 bytes) 
E09623 12 500 5000
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -39 908 0 I
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -258 -3958 0 II
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -219 -4149 0 III
E09623.mat 16x1+24 1000.0(0)/mV 16 0 148 1434 0 aVR
E09623.mat 16x1+24 1000.0(0)/mV 16 0 90 1996 0 aVL
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -239 -4021 0 aVF
E09623.mat 16x1+24 1000.0(0)/mV 16 0 43 5331 0 V1
E09623.mat 16x1+24 1000.0(0)/mV 16 0 0 -5432 0 V2
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -287 6562 0 V3
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -122 -2918 0 V4
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -204 -3691 0 V5
E09623.mat 16x1+24 1000.0(0)/mV 16 0 -224 -6114 0 V6
# Age: 71
# Sex: Female
# Dx: 428417006,426177001
# Rx: Unknown
# Hx: Unknown