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

File: <base>/training/georgia/g9/E08779.hea (729 bytes) 
E08779 12 500 5000
E08779.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31870 0 I
E08779.mat 16x1+24 1000.0(0)/mV 16 0 19 17769 0 II
E08779.mat 16x1+24 1000.0(0)/mV 16 0 48 -14886 0 III
E08779.mat 16x1+24 1000.0(0)/mV 16 0 4 7397 0 aVR
E08779.mat 16x1+24 1000.0(0)/mV 16 0 -39 24494 0 aVL
E08779.mat 16x1+24 1000.0(0)/mV 16 0 34 -31272 0 aVF
E08779.mat 16x1+24 1000.0(0)/mV 16 0 29 2174 0 V1
E08779.mat 16x1+24 1000.0(0)/mV 16 0 9 -23127 0 V2
E08779.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10881 0 V3
E08779.mat 16x1+24 1000.0(0)/mV 16 0 -39 -18673 0 V4
E08779.mat 16x1+24 1000.0(0)/mV 16 0 48 -12229 0 V5
E08779.mat 16x1+24 1000.0(0)/mV 16 0 -68 -11990 0 V6
# Age: 54
# Sex: Male
# Dx: 270492004,426177001,164934002
# Rx: Unknown
# Hx: Unknown