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

File: <base>/training/georgia/g10/E09813.hea (722 bytes) 
E09813 12 500 5000
E09813.mat 16x1+24 1000.0(0)/mV 16 0 0 242 0 I
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -19 2902 0 II
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -19 3088 0 III
E09813.mat 16x1+24 1000.0(0)/mV 16 0 9 31172 0 aVR
E09813.mat 16x1+24 1000.0(0)/mV 16 0 9 -1439 0 aVL
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29782 0 aVF
E09813.mat 16x1+24 1000.0(0)/mV 16 0 107 27031 0 V1
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -1561 14844 0 V2
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -473 -31536 0 V3
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -566 -3994 0 V4
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -1698 -31577 0 V5
E09813.mat 16x1+24 1000.0(0)/mV 16 0 -102 22176 0 V6
# Age: 50
# Sex: Male
# Dx: 427084000,164931005
# Rx: Unknown
# Hx: Unknown