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

File: <base>/training/cpsc_2018/g1/A0409.hea (692 bytes) 
A0409 12 500 9500
A0409.mat 16x1+24 1000.0(0)/mV 16 0 45 -2383 0 I
A0409.mat 16x1+24 1000.0(0)/mV 16 0 92 2502 0 II
A0409.mat 16x1+24 1000.0(0)/mV 16 0 46 -4615 0 III
A0409.mat 16x1+24 1000.0(0)/mV 16 0 -68 4132 0 aVR
A0409.mat 16x1+24 1000.0(0)/mV 16 0 -1 1350 0 aVL
A0409.mat 16x1+24 1000.0(0)/mV 16 0 69 4407 0 aVF
A0409.mat 16x1+24 1000.0(0)/mV 16 0 -55 509 0 V1
A0409.mat 16x1+24 1000.0(0)/mV 16 0 5 1978 0 V2
A0409.mat 16x1+24 1000.0(0)/mV 16 0 151 3524 0 V3
A0409.mat 16x1+24 1000.0(0)/mV 16 0 62 739 0 V4
A0409.mat 16x1+24 1000.0(0)/mV 16 0 230 3677 0 V5
A0409.mat 16x1+24 1000.0(0)/mV 16 0 43 4193 0 V6
# Age: 84
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown