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

File: <base>/training/cpsc_2018/g7/A6364.hea (717 bytes) 
A6364 12 500 11000
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -275 1119 0 I
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -243 2780 0 II
A6364.mat 16x1+24 1000.0(0)/mV 16 0 32 1661 0 III
A6364.mat 16x1+24 1000.0(0)/mV 16 0 259 -2328 0 aVR
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -154 -5434 0 aVL
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -106 -3382 0 aVF
A6364.mat 16x1+24 1000.0(0)/mV 16 0 474 2404 0 V1
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -184 3043 0 V2
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -538 -3748 0 V3
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -539 -4866 0 V4
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -555 1716 0 V5
A6364.mat 16x1+24 1000.0(0)/mV 16 0 -399 -3552 0 V6
# Age: 45
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown