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

File: <base>/training/georgia/g6/E05893.hea (728 bytes) 
E05893 12 500 5000
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -92 -13955 0 I
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -175 -18898 0 II
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -82 -3952 0 III
E05893.mat 16x1+24 1000.0(0)/mV 16 0 134 16337 0 aVR
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -4 28420 0 aVL
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -129 21501 0 aVF
E05893.mat 16x1+24 1000.0(0)/mV 16 0 39 6408 0 V1
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -136 -2271 0 V2
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -92 13141 0 V3
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29114 0 V4
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -34 15037 0 V5
E05893.mat 16x1+24 1000.0(0)/mV 16 0 -73 -10425 0 V6
# Age: 59
# Sex: Female
# Dx: 164873001,427084000
# Rx: Unknown
# Hx: Unknown