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

File: <base>/training/georgia/g6/E05853.hea (746 bytes) 
E05853 12 500 5000
E05853.mat 16x1+24 1000.0(0)/mV 16 0 39 -2368 0 I
E05853.mat 16x1+24 1000.0(0)/mV 16 0 73 21832 0 II
E05853.mat 16x1+24 1000.0(0)/mV 16 0 34 24165 0 III
E05853.mat 16x1+24 1000.0(0)/mV 16 0 -56 22877 0 aVR
E05853.mat 16x1+24 1000.0(0)/mV 16 0 2 19435 0 aVL
E05853.mat 16x1+24 1000.0(0)/mV 16 0 53 23004 0 aVF
E05853.mat 16x1+24 1000.0(0)/mV 16 0 -107 8147 0 V1
E05853.mat 16x1+24 1000.0(0)/mV 16 0 14 15150 0 V2
E05853.mat 16x1+24 1000.0(0)/mV 16 0 39 3626 0 V3
E05853.mat 16x1+24 1000.0(0)/mV 16 0 -78 -32286 0 V4
E05853.mat 16x1+24 1000.0(0)/mV 16 0 -43 -21182 0 V5
E05853.mat 16x1+24 1000.0(0)/mV 16 0 -170 22063 0 V6
# Age: 60
# Sex: Male
# Dx: 713426002,427084000,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown