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

File: <base>/training/georgia/g10/E09865.hea (760 bytes) 
E09865 12 500 5000
E09865.mat 16x1+24 1000.0(0)/mV 16 0 -92 15904 0 I
E09865.mat 16x1+24 1000.0(0)/mV 16 0 -14 23247 0 II
E09865.mat 16x1+24 1000.0(0)/mV 16 0 78 6050 0 III
E09865.mat 16x1+24 1000.0(0)/mV 16 0 53 -19497 0 aVR
E09865.mat 16x1+24 1000.0(0)/mV 16 0 -85 -27807 0 aVL
E09865.mat 16x1+24 1000.0(0)/mV 16 0 31 -17380 0 aVF
E09865.mat 16x1+24 1000.0(0)/mV 16 0 -34 -4621 0 V1
E09865.mat 16x1+24 1000.0(0)/mV 16 0 -131 -12543 0 V2
E09865.mat 16x1+24 1000.0(0)/mV 16 0 -107 -13954 0 V3
E09865.mat 16x1+24 1000.0(0)/mV 16 0 19 -4914 0 V4
E09865.mat 16x1+24 1000.0(0)/mV 16 0 73 7588 0 V5
E09865.mat 16x1+24 1000.0(0)/mV 16 0 68 24527 0 V6
# Age: 46
# Sex: Male
# Dx: 164873001,39732003,164934002,111975006,164931005,164930006
# Rx: Unknown
# Hx: Unknown