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

File: <base>/training/georgia/g10/E09827.hea (723 bytes) 
E09827 12 500 5000
E09827.mat 16x1+24 1000.0(0)/mV 16 0 9 -8390 0 I
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -9 3657 0 II
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -19 12236 0 III
E09827.mat 16x1+24 1000.0(0)/mV 16 0 0 1936 0 aVR
E09827.mat 16x1+24 1000.0(0)/mV 16 0 14 -10409 0 aVL
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -14 7921 0 aVF
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -97 29411 0 V1
E09827.mat 16x1+24 1000.0(0)/mV 16 0 204 27011 0 V2
E09827.mat 16x1+24 1000.0(0)/mV 16 0 87 24758 0 V3
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4196 0 V4
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -97 30000 0 V5
E09827.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5044 0 V6
# Age: 72
# Sex: Male
# Dx: 111975006,164930006,164890007
# Rx: Unknown
# Hx: Unknown