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

File: <base>/training/georgia/g6/E05352.hea (723 bytes) 
E05352 12 500 5000
E05352.mat 16x1+24 1000.0(0)/mV 16 0 146 -6918 0 I
E05352.mat 16x1+24 1000.0(0)/mV 16 0 -39 17880 0 II
E05352.mat 16x1+24 1000.0(0)/mV 16 0 -185 25422 0 III
E05352.mat 16x1+24 1000.0(0)/mV 16 0 -53 -5853 0 aVR
E05352.mat 16x1+24 1000.0(0)/mV 16 0 165 -16085 0 aVL
E05352.mat 16x1+24 1000.0(0)/mV 16 0 -112 21420 0 aVF
E05352.mat 16x1+24 1000.0(0)/mV 16 0 -136 2644 0 V1
E05352.mat 16x1+24 1000.0(0)/mV 16 0 165 10074 0 V2
E05352.mat 16x1+24 1000.0(0)/mV 16 0 68 6270 0 V3
E05352.mat 16x1+24 1000.0(0)/mV 16 0 331 15290 0 V4
E05352.mat 16x1+24 1000.0(0)/mV 16 0 195 11749 0 V5
E05352.mat 16x1+24 1000.0(0)/mV 16 0 -9 3902 0 V6
# Age: 79
# Sex: Female
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown