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

File: <base>/training/georgia/g10/E09891.hea (711 bytes) 
E09891 12 500 5000
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -122 7887 0 I
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -234 12253 0 II
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -112 5162 0 III
E09891.mat 16x1+24 1000.0(0)/mV 16 0 178 22515 0 aVR
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -4 -31443 0 aVL
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -173 8619 0 aVF
E09891.mat 16x1+24 1000.0(0)/mV 16 0 122 8301 0 V1
E09891.mat 16x1+24 1000.0(0)/mV 16 0 9 -30254 0 V2
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -4 27911 0 V3
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -58 17933 0 V4
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -53 25612 0 V5
E09891.mat 16x1+24 1000.0(0)/mV 16 0 -63 -28864 0 V6
# Age: 52
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown