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

File: <base>/training/georgia/g10/E09459.hea (728 bytes) 
E09459 12 500 5000
E09459.mat 16x1+24 1000.0(0)/mV 16 0 4 -14274 0 I
E09459.mat 16x1+24 1000.0(0)/mV 16 0 39 -6110 0 II
E09459.mat 16x1+24 1000.0(0)/mV 16 0 34 7974 0 III
E09459.mat 16x1+24 1000.0(0)/mV 16 0 -21 10466 0 aVR
E09459.mat 16x1+24 1000.0(0)/mV 16 0 -14 21476 0 aVL
E09459.mat 16x1+24 1000.0(0)/mV 16 0 36 -31536 0 aVF
E09459.mat 16x1+24 1000.0(0)/mV 16 0 131 1303 0 V1
E09459.mat 16x1+24 1000.0(0)/mV 16 0 126 31188 0 V2
E09459.mat 16x1+24 1000.0(0)/mV 16 0 219 11586 0 V3
E09459.mat 16x1+24 1000.0(0)/mV 16 0 341 9142 0 V4
E09459.mat 16x1+24 1000.0(0)/mV 16 0 -151 -15031 0 V5
E09459.mat 16x1+24 1000.0(0)/mV 16 0 165 20813 0 V6
# Age: 77
# Sex: Male
# Dx: 164934002,111975006,164884008
# Rx: Unknown
# Hx: Unknown