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

File: <base>/training/georgia/g2/E01904.hea (727 bytes) 
E01904 12 500 5000
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16569 0 I
E01904.mat 16x1+24 1000.0(0)/mV 16 0 9 -8519 0 II
E01904.mat 16x1+24 1000.0(0)/mV 16 0 39 8307 0 III
E01904.mat 16x1+24 1000.0(0)/mV 16 0 9 12563 0 aVR
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -34 -12447 0 aVL
E01904.mat 16x1+24 1000.0(0)/mV 16 0 24 -179 0 aVF
E01904.mat 16x1+24 1000.0(0)/mV 16 0 9 32079 0 V1
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29195 0 V2
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12050 0 V3
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -58 -29496 0 V4
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -58 24945 0 V5
E01904.mat 16x1+24 1000.0(0)/mV 16 0 -58 24287 0 V6
# Age: 44
# Sex: Female
# Dx: 17338001,425419005,164934002
# Rx: Unknown
# Hx: Unknown