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

File: <base>/training/georgia/g10/E09455.hea (707 bytes) 
E09455 12 500 5000
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -68 -16925 0 I
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -39 9849 0 II
E09455.mat 16x1+24 1000.0(0)/mV 16 0 29 26349 0 III
E09455.mat 16x1+24 1000.0(0)/mV 16 0 53 3549 0 aVR
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21234 0 aVL
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -4 18160 0 aVF
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -39 8661 0 V1
E09455.mat 16x1+24 1000.0(0)/mV 16 0 9 -29147 0 V2
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23858 0 V3
E09455.mat 16x1+24 1000.0(0)/mV 16 0 9 15387 0 V4
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -78 -20619 0 V5
E09455.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3146 0 V6
# Age: 75
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown