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

File: <base>/training/georgia/g10/E09356.hea (734 bytes) 
E09356 12 500 5000
E09356.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19910 0 I
E09356.mat 16x1+24 1000.0(0)/mV 16 0 9 20854 0 II
E09356.mat 16x1+24 1000.0(0)/mV 16 0 19 -24695 0 III
E09356.mat 16x1+24 1000.0(0)/mV 16 0 0 -516 0 aVR
E09356.mat 16x1+24 1000.0(0)/mV 16 0 -14 2435 0 aVL
E09356.mat 16x1+24 1000.0(0)/mV 16 0 14 -1915 0 aVF
E09356.mat 16x1+24 1000.0(0)/mV 16 0 29 -19882 0 V1
E09356.mat 16x1+24 1000.0(0)/mV 16 0 29 18053 0 V2
E09356.mat 16x1+24 1000.0(0)/mV 16 0 29 26165 0 V3
E09356.mat 16x1+24 1000.0(0)/mV 16 0 19 6404 0 V4
E09356.mat 16x1+24 1000.0(0)/mV 16 0 9 14156 0 V5
E09356.mat 16x1+24 1000.0(0)/mV 16 0 9 15320 0 V6
# Age: 89
# Sex: Female
# Dx: 428750005,111975006,164930006,425623009,59931005,164934002
# Rx: Unknown