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

File: <base>/training/georgia/g10/E09369.hea (709 bytes) 
E09369 12 500 5000
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -34 19161 0 I
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -53 18520 0 II
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -19 333 0 III
E09369.mat 16x1+24 1000.0(0)/mV 16 0 43 -18881 0 aVR
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -7 9911 0 aVL
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -36 9443 0 aVF
E09369.mat 16x1+24 1000.0(0)/mV 16 0 307 -8955 0 V1
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -97 21477 0 V2
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -141 26021 0 V3
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -102 23661 0 V4
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -82 23013 0 V5
E09369.mat 16x1+24 1000.0(0)/mV 16 0 -63 21647 0 V6
# Age: 55
# Sex: Male
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown