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

File: <base>/training/cpsc_2018/g5/A4872.hea (683 bytes) 
A4872 12 500 5337
A4872.mat 16x1+24 1000.0(0)/mV 16 0 -29 -100 0 I
A4872.mat 16x1+24 1000.0(0)/mV 16 0 -4 -83 0 II
A4872.mat 16x1+24 1000.0(0)/mV 16 0 25 42 0 III
A4872.mat 16x1+24 1000.0(0)/mV 16 0 16 89 0 aVR
A4872.mat 16x1+24 1000.0(0)/mV 16 0 -26 -106 0 aVL
A4872.mat 16x1+24 1000.0(0)/mV 16 0 10 10 0 aVF
A4872.mat 16x1+24 1000.0(0)/mV 16 0 7 126 0 V1
A4872.mat 16x1+24 1000.0(0)/mV 16 0 40 -17 0 V2
A4872.mat 16x1+24 1000.0(0)/mV 16 0 18 -149 0 V3
A4872.mat 16x1+24 1000.0(0)/mV 16 0 -2 -165 0 V4
A4872.mat 16x1+24 1000.0(0)/mV 16 0 -7 -212 0 V5
A4872.mat 16x1+24 1000.0(0)/mV 16 0 -29 -143 0 V6
# Age: 72
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown