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

File: <base>/training/georgia/g10/E09293.hea (718 bytes) 
E09293 12 500 5000
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -136 29623 0 I
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -29 27915 0 II
E09293.mat 16x1+24 1000.0(0)/mV 16 0 107 -1596 0 III
E09293.mat 16x1+24 1000.0(0)/mV 16 0 82 3739 0 aVR
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -122 15674 0 aVL
E09293.mat 16x1+24 1000.0(0)/mV 16 0 39 -19599 0 aVF
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -29 5224 0 V1
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -156 29348 0 V2
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -175 -14032 0 V3
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -175 4958 0 V4
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -136 11868 0 V5
E09293.mat 16x1+24 1000.0(0)/mV 16 0 -68 -19352 0 V6
# Age: 72
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown