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

File: <base>/training/georgia/g10/E09818.hea (758 bytes)
E09818 12 500 5000
E09818.mat 16x1+24 1000.0(0)/mV 16 0 -136 -24582 0 I
E09818.mat 16x1+24 1000.0(0)/mV 16 0 -409 10152 0 II
E09818.mat 16x1+24 1000.0(0)/mV 16 0 -273 -30824 0 III
E09818.mat 16x1+24 1000.0(0)/mV 16 0 273 -25893 0 aVR
E09818.mat 16x1+24 1000.0(0)/mV 16 0 68 3232 0 aVL
E09818.mat 16x1+24 1000.0(0)/mV 16 0 -341 22466 0 aVF
E09818.mat 16x1+24 1000.0(0)/mV 16 0 283 9631 0 V1
E09818.mat 16x1+24 1000.0(0)/mV 16 0 156 -2338 0 V2
E09818.mat 16x1+24 1000.0(0)/mV 16 0 0 7523 0 V3
E09818.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30778 0 V4
E09818.mat 16x1+24 1000.0(0)/mV 16 0 146 24217 0 V5
E09818.mat 16x1+24 1000.0(0)/mV 16 0 29 -5377 0 V6
# Age: 69
# Sex: Male
# Dx: 428750005,67741000119109,427084000,425419005,164934002
# Rx: Unknown
# Hx: Unknown