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

File: <base>/training/georgia/g10/E09303.hea (717 bytes) 
E09303 12 500 5000
E09303.mat 16x1+24 1000.0(0)/mV 16 0 -39 -349 0 I
E09303.mat 16x1+24 1000.0(0)/mV 16 0 9 11987 0 II
E09303.mat 16x1+24 1000.0(0)/mV 16 0 48 11760 0 III
E09303.mat 16x1+24 1000.0(0)/mV 16 0 14 -6043 0 aVR
E09303.mat 16x1+24 1000.0(0)/mV 16 0 -43 -5756 0 aVL
E09303.mat 16x1+24 1000.0(0)/mV 16 0 29 12258 0 aVF
E09303.mat 16x1+24 1000.0(0)/mV 16 0 29 -25463 0 V1
E09303.mat 16x1+24 1000.0(0)/mV 16 0 29 11844 0 V2
E09303.mat 16x1+24 1000.0(0)/mV 16 0 -19 12282 0 V3
E09303.mat 16x1+24 1000.0(0)/mV 16 0 -78 -18757 0 V4
E09303.mat 16x1+24 1000.0(0)/mV 16 0 -29 11650 0 V5
E09303.mat 16x1+24 1000.0(0)/mV 16 0 39 18700 0 V6
# Age: 80
# Sex: Female
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown