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

File: <base>/training/georgia/g6/E05615.hea (736 bytes) 
E05615 12 500 5000
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -48 -7028 0 I
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -92 21879 0 II
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -43 30046 0 III
E05615.mat 16x1+24 1000.0(0)/mV 16 0 70 25341 0 aVR
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -2 -18637 0 aVL
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6855 0 aVF
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -19 15393 0 V1
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -122 27434 0 V2
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -180 -14677 0 V3
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -170 18473 0 V4
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -180 -758 0 V5
E05615.mat 16x1+24 1000.0(0)/mV 16 0 -156 -4165 0 V6
# Age: 55
# Sex: Male
# Dx: 270492004,426177001,164873001
# Rx: Unknown
# Hx: Unknown