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

File: <base>/training/georgia/g10/E09741.hea (736 bytes) 
E09741 12 500 5000
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -82 21475 0 I
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -78 -1359 0 II
E09741.mat 16x1+24 1000.0(0)/mV 16 0 4 -22070 0 III
E09741.mat 16x1+24 1000.0(0)/mV 16 0 80 22518 0 aVR
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -43 21937 0 aVL
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -36 20980 0 aVF
E09741.mat 16x1+24 1000.0(0)/mV 16 0 102 16387 0 V1
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -24 14179 0 V2
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -29 5943 0 V3
E09741.mat 16x1+24 1000.0(0)/mV 16 0 58 13691 0 V4
E09741.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6726 0 V5
E09741.mat 16x1+24 1000.0(0)/mV 16 0 4 -12305 0 V6
# Age: 84
# Sex: Male
# Dx: 425623009,164934002,164873001,284470004
# Rx: Unknown
# Hx: Unknown