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

File: <base>/training/cpsc_2018/g7/A6754.hea (709 bytes) 
A6754 12 500 8000
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -5 -694 0 I
A6754.mat 16x1+24 1000.0(0)/mV 16 0 269 1167 0 II
A6754.mat 16x1+24 1000.0(0)/mV 16 0 274 1861 0 III
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -131 3140 0 aVR
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -138 1615 0 aVL
A6754.mat 16x1+24 1000.0(0)/mV 16 0 272 1584 0 aVF
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -691 -793 0 V1
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -427 144 0 V2
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -313 -1566 0 V3
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -814 -2868 0 V4
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -957 382 0 V5
A6754.mat 16x1+24 1000.0(0)/mV 16 0 -328 1187 0 V6
# Age: 64
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown