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

File: <base>/training/georgia/g5/E04902.hea (711 bytes) 
E04902 12 500 5000
E04902.mat 16x1+24 1000.0(0)/mV 16 0 19 10242 0 I
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -19 23412 0 II
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -39 13947 0 III
E04902.mat 16x1+24 1000.0(0)/mV 16 0 0 -16637 0 aVR
E04902.mat 16x1+24 1000.0(0)/mV 16 0 29 30493 0 aVL
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14067 0 aVF
E04902.mat 16x1+24 1000.0(0)/mV 16 0 9 -6426 0 V1
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -9 24017 0 V2
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -136 -6562 0 V3
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -82 14318 0 V4
E04902.mat 16x1+24 1000.0(0)/mV 16 0 -97 464 0 V5
E04902.mat 16x1+24 1000.0(0)/mV 16 0 9 32663 0 V6
# Age: 85
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown