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

File: <base>/training/georgia/g5/E04922.hea (762 bytes) 
E04922 12 500 5000
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -439 -32502 0 I
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -302 -28892 0 II
E04922.mat 16x1+24 1000.0(0)/mV 16 0 136 2887 0 III
E04922.mat 16x1+24 1000.0(0)/mV 16 0 370 -2048 0 aVR
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -287 15564 0 aVL
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -82 -12801 0 aVF
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -19 17204 0 V1
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -117 -6583 0 V2
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -107 22256 0 V3
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -117 -1616 0 V4
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -117 16167 0 V5
E04922.mat 16x1+24 1000.0(0)/mV 16 0 -97 2487 0 V6
# Age: 56
# Sex: Female
# Dx: 111975006,164930006,425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown