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

File: <base>/training/georgia/g5/E04883.hea (699 bytes) 
E04883 12 500 5000
E04883.mat 16x1+24 1000.0(0)/mV 16 0 9 17529 0 I
E04883.mat 16x1+24 1000.0(0)/mV 16 0 39 20974 0 II
E04883.mat 16x1+24 1000.0(0)/mV 16 0 29 2946 0 III
E04883.mat 16x1+24 1000.0(0)/mV 16 0 -24 -19181 0 aVR
E04883.mat 16x1+24 1000.0(0)/mV 16 0 -9 7395 0 aVL
E04883.mat 16x1+24 1000.0(0)/mV 16 0 34 11787 0 aVF
E04883.mat 16x1+24 1000.0(0)/mV 16 0 4 -2087 0 V1
E04883.mat 16x1+24 1000.0(0)/mV 16 0 -34 29682 0 V2
E04883.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9180 0 V3
E04883.mat 16x1+24 1000.0(0)/mV 16 0 0 16666 0 V4
E04883.mat 16x1+24 1000.0(0)/mV 16 0 4 19333 0 V5
E04883.mat 16x1+24 1000.0(0)/mV 16 0 39 1086 0 V6
# Age: 46
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown