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

File: <base>/training/cpsc_2018/g1/A0044.hea (671 bytes) 
A0044 12 500 5000
A0044.mat 16x1+24 1000.0(0)/mV 16 0 -2 25 0 I
A0044.mat 16x1+24 1000.0(0)/mV 16 0 15 31 0 II
A0044.mat 16x1+24 1000.0(0)/mV 16 0 17 47 0 III
A0044.mat 16x1+24 1000.0(0)/mV 16 0 -7 -14 0 aVR
A0044.mat 16x1+24 1000.0(0)/mV 16 0 -9 30 0 aVL
A0044.mat 16x1+24 1000.0(0)/mV 16 0 15 29 0 aVF
A0044.mat 16x1+24 1000.0(0)/mV 16 0 178 -40 0 V1
A0044.mat 16x1+24 1000.0(0)/mV 16 0 80 -31 0 V2
A0044.mat 16x1+24 1000.0(0)/mV 16 0 43 -16 0 V3
A0044.mat 16x1+24 1000.0(0)/mV 16 0 27 -26 0 V4
A0044.mat 16x1+24 1000.0(0)/mV 16 0 6 -10 0 V5
A0044.mat 16x1+24 1000.0(0)/mV 16 0 0 -20 0 V6
# Age: 84
# Sex: Male
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown