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

File: <base>/training/cpsc_2018/g1/A0009.hea (698 bytes) 
A0009 12 500 8000
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -22 -3795 0 I
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -11 1626 0 II
A0009.mat 16x1+24 1000.0(0)/mV 16 0 10 -2579 0 III
A0009.mat 16x1+24 1000.0(0)/mV 16 0 16 -3569 0 aVR
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -16 -3861 0 aVL
A0009.mat 16x1+24 1000.0(0)/mV 16 0 0 66 0 aVF
A0009.mat 16x1+24 1000.0(0)/mV 16 0 24 291 0 V1
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -14 1665 0 V2
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -45 3188 0 V3
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -46 783 0 V4
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -50 -1821 0 V5
A0009.mat 16x1+24 1000.0(0)/mV 16 0 -61 -3732 0 V6
# Age: 81
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown