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

File: <base>/training/cpsc_2018/g6/A5309.hea (689 bytes) 
A5309 12 500 12923
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -11 -29 0 I
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -27 -7 0 II
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -16 -25 0 III
A5309.mat 16x1+24 1000.0(0)/mV 16 0 19 21 0 aVR
A5309.mat 16x1+24 1000.0(0)/mV 16 0 3 -30 0 aVL
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -22 -44 0 aVF
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -47 83 0 V1
A5309.mat 16x1+24 1000.0(0)/mV 16 0 14 -35 0 V2
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -15 -26 0 V3
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -18 18 0 V4
A5309.mat 16x1+24 1000.0(0)/mV 16 0 -25 -2 0 V5
A5309.mat 16x1+24 1000.0(0)/mV 16 0 55 6 0 V6
# Age: 84
# Sex: Female
# Dx: 59118001,284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown