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

File: <base>/training/cpsc_2018/g2/A1432.hea (697 bytes) 
A1432 12 500 5500
A1432.mat 16x1+24 1000.0(0)/mV 16 0 20 -1805 0 I
A1432.mat 16x1+24 1000.0(0)/mV 16 0 -14 -931 0 II
A1432.mat 16x1+24 1000.0(0)/mV 16 0 -34 874 0 III
A1432.mat 16x1+24 1000.0(0)/mV 16 0 -3 -1431 0 aVR
A1432.mat 16x1+24 1000.0(0)/mV 16 0 27 -1319 0 aVL
A1432.mat 16x1+24 1000.0(0)/mV 16 0 -24 -2334 0 aVF
A1432.mat 16x1+24 1000.0(0)/mV 16 0 -26 2087 0 V1
A1432.mat 16x1+24 1000.0(0)/mV 16 0 44 -1348 0 V2
A1432.mat 16x1+24 1000.0(0)/mV 16 0 17 -226 0 V3
A1432.mat 16x1+24 1000.0(0)/mV 16 0 8 705 0 V4
A1432.mat 16x1+24 1000.0(0)/mV 16 0 1 2569 0 V5
A1432.mat 16x1+24 1000.0(0)/mV 16 0 -37 2410 0 V6
# Age: 85
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown