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

File: <base>/training/georgia/g1/E00589.hea (708 bytes) 
E00589 12 500 5000
E00589.mat 16x1+24 1000.0(0)/mV 16 0 9 -18380 0 I
E00589.mat 16x1+24 1000.0(0)/mV 16 0 -39 13992 0 II
E00589.mat 16x1+24 1000.0(0)/mV 16 0 -48 31979 0 III
E00589.mat 16x1+24 1000.0(0)/mV 16 0 14 2163 0 aVR
E00589.mat 16x1+24 1000.0(0)/mV 16 0 29 -24869 0 aVL
E00589.mat 16x1+24 1000.0(0)/mV 16 0 -43 23272 0 aVF
E00589.mat 16x1+24 1000.0(0)/mV 16 0 0 -21113 0 V1
E00589.mat 16x1+24 1000.0(0)/mV 16 0 48 -26922 0 V2
E00589.mat 16x1+24 1000.0(0)/mV 16 0 0 -23208 0 V3
E00589.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20715 0 V4
E00589.mat 16x1+24 1000.0(0)/mV 16 0 -29 16723 0 V5
E00589.mat 16x1+24 1000.0(0)/mV 16 0 -48 22449 0 V6
# Age: 73
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown