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

File: <base>/training/georgia/g5/E04864.hea (743 bytes) 
E04864 12 500 5000
E04864.mat 16x1+24 1000.0(0)/mV 16 0 29 -20448 0 I
E04864.mat 16x1+24 1000.0(0)/mV 16 0 19 -14158 0 II
E04864.mat 16x1+24 1000.0(0)/mV 16 0 -9 5700 0 III
E04864.mat 16x1+24 1000.0(0)/mV 16 0 -24 17286 0 aVR
E04864.mat 16x1+24 1000.0(0)/mV 16 0 19 -12729 0 aVL
E04864.mat 16x1+24 1000.0(0)/mV 16 0 4 -4380 0 aVF
E04864.mat 16x1+24 1000.0(0)/mV 16 0 126 -18577 0 V1
E04864.mat 16x1+24 1000.0(0)/mV 16 0 322 28852 0 V2
E04864.mat 16x1+24 1000.0(0)/mV 16 0 351 -1975 0 V3
E04864.mat 16x1+24 1000.0(0)/mV 16 0 263 -16417 0 V4
E04864.mat 16x1+24 1000.0(0)/mV 16 0 126 -20781 0 V5
E04864.mat 16x1+24 1000.0(0)/mV 16 0 19 -15082 0 V6
# Age: 43
# Sex: Male
# Dx: 164909002,67741000119109,6374002,59931005
# Rx: Unknown
# Hx: Unknown