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

File: <base>/training/cpsc_2018/g5/A4282.hea (672 bytes) 
A4282 12 500 5000
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -8 42 0 I
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -18 39 0 II
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -10 24 0 III
A4282.mat 16x1+24 1000.0(0)/mV 16 0 14 -6 0 aVR
A4282.mat 16x1+24 1000.0(0)/mV 16 0 1 -6 0 aVL
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -14 10 0 aVF
A4282.mat 16x1+24 1000.0(0)/mV 16 0 1 -20 0 V1
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -6 -11 0 V2
A4282.mat 16x1+24 1000.0(0)/mV 16 0 27 12 0 V3
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -16 8 0 V4
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18 0 V5
A4282.mat 16x1+24 1000.0(0)/mV 16 0 -23 18 0 V6
# Age: 60
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown