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

File: <base>/training/georgia/g1/E00473.hea (716 bytes) 
E00473 12 500 5000
E00473.mat 16x1+24 1000.0(0)/mV 16 0 97 23183 0 I
E00473.mat 16x1+24 1000.0(0)/mV 16 0 87 -6656 0 II
E00473.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29337 0 III
E00473.mat 16x1+24 1000.0(0)/mV 16 0 -92 -8498 0 aVR
E00473.mat 16x1+24 1000.0(0)/mV 16 0 53 26103 0 aVL
E00473.mat 16x1+24 1000.0(0)/mV 16 0 39 -17936 0 aVF
E00473.mat 16x1+24 1000.0(0)/mV 16 0 -34 7098 0 V1
E00473.mat 16x1+24 1000.0(0)/mV 16 0 102 30402 0 V2
E00473.mat 16x1+24 1000.0(0)/mV 16 0 117 23036 0 V3
E00473.mat 16x1+24 1000.0(0)/mV 16 0 244 26532 0 V4
E00473.mat 16x1+24 1000.0(0)/mV 16 0 283 848 0 V5
E00473.mat 16x1+24 1000.0(0)/mV 16 0 302 32152 0 V6
# Age: 80
# Sex: Male
# Dx: 284470004,426177001
# Rx: Unknown
# Hx: Unknown