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

File: <base>/training/cpsc_2018/g5/A4902.hea (687 bytes) 
A4902 12 500 5000
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -130 22 0 I
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -339 -8 0 II
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -209 -4 0 III
A4902.mat 16x1+24 1000.0(0)/mV 16 0 234 -32 0 aVR
A4902.mat 16x1+24 1000.0(0)/mV 16 0 39 -19 0 aVL
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -274 7 0 aVF
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -565 -77 0 V1
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -665 20 0 V2
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -688 5 0 V3
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -368 -9 0 V4
A4902.mat 16x1+24 1000.0(0)/mV 16 0 -182 37 0 V5
A4902.mat 16x1+24 1000.0(0)/mV 16 0 109 126 0 V6
# Age: 61
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown