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

File: <base>/training/cpsc_2018/g7/A6492.hea (674 bytes) 
A6492 12 500 5126
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -5 8 0 I
A6492.mat 16x1+24 1000.0(0)/mV 16 0 22 45 0 II
A6492.mat 16x1+24 1000.0(0)/mV 16 0 27 44 0 III
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1 0 aVR
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -17 -26 0 aVL
A6492.mat 16x1+24 1000.0(0)/mV 16 0 25 -30 0 aVF
A6492.mat 16x1+24 1000.0(0)/mV 16 0 16 -12 0 V1
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -60 12 0 V2
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -37 40 0 V3
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -23 20 0 V4
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -6 -2 0 V5
A6492.mat 16x1+24 1000.0(0)/mV 16 0 -14 -1 0 V6
# Age: 50
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown