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

File: <base>/training/georgia/g5/E04094.hea (741 bytes) 
E04094 12 500 5000
E04094.mat 16x1+24 1000.0(0)/mV 16 0 0 19413 0 I
E04094.mat 16x1+24 1000.0(0)/mV 16 0 117 32019 0 II
E04094.mat 16x1+24 1000.0(0)/mV 16 0 117 12530 0 III
E04094.mat 16x1+24 1000.0(0)/mV 16 0 -58 -25646 0 aVR
E04094.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29019 0 aVL
E04094.mat 16x1+24 1000.0(0)/mV 16 0 117 -10538 0 aVF
E04094.mat 16x1+24 1000.0(0)/mV 16 0 19 -29391 0 V1
E04094.mat 16x1+24 1000.0(0)/mV 16 0 204 19515 0 V2
E04094.mat 16x1+24 1000.0(0)/mV 16 0 351 24969 0 V3
E04094.mat 16x1+24 1000.0(0)/mV 16 0 312 -23872 0 V4
E04094.mat 16x1+24 1000.0(0)/mV 16 0 302 7034 0 V5
E04094.mat 16x1+24 1000.0(0)/mV 16 0 204 5799 0 V6
# Age: 85
# Sex: Male
# Dx: 713426002,39732003,427084000,251268003
# Rx: Unknown
# Hx: Unknown