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

File: <base>/training/georgia/g5/E04779.hea (734 bytes) 
E04779 12 500 5000
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -48 32314 0 I
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -82 16782 0 II
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -34 -15072 0 III
E04779.mat 16x1+24 1000.0(0)/mV 16 0 65 -24661 0 aVR
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -7 23314 0 aVL
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -58 912 0 aVF
E04779.mat 16x1+24 1000.0(0)/mV 16 0 112 -1742 0 V1
E04779.mat 16x1+24 1000.0(0)/mV 16 0 97 -27728 0 V2
E04779.mat 16x1+24 1000.0(0)/mV 16 0 14 3668 0 V3
E04779.mat 16x1+24 1000.0(0)/mV 16 0 214 4082 0 V4
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17147 0 V5
E04779.mat 16x1+24 1000.0(0)/mV 16 0 -73 -3423 0 V6
# Age: 66
# Sex: Female
# Dx: 428750005,67741000119109,59931005
# Rx: Unknown
# Hx: Unknown