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

File: <base>/training/cpsc_2018/g5/A4772.hea (711 bytes) 
A4772 12 500 5000
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -61 1499 0 I
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -326 -800 0 II
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -265 -2299 0 III
A4772.mat 16x1+24 1000.0(0)/mV 16 0 193 1993 0 aVR
A4772.mat 16x1+24 1000.0(0)/mV 16 0 101 356 0 aVL
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -296 -1325 0 aVF
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -275 -425 0 V1
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -452 1840 0 V2
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -444 -733 0 V3
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -476 -2487 0 V4
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -377 533 0 V5
A4772.mat 16x1+24 1000.0(0)/mV 16 0 -342 1980 0 V6
# Age: 36
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown