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

File: <base>/training/cpsc_2018/g5/A4372.hea (674 bytes) 
A4372 12 500 5000
A4372.mat 16x1+24 1000.0(0)/mV 16 0 -44 3 0 I
A4372.mat 16x1+24 1000.0(0)/mV 16 0 -21 -36 0 II
A4372.mat 16x1+24 1000.0(0)/mV 16 0 23 -23 0 III
A4372.mat 16x1+24 1000.0(0)/mV 16 0 33 1 0 aVR
A4372.mat 16x1+24 1000.0(0)/mV 16 0 -34 -1 0 aVL
A4372.mat 16x1+24 1000.0(0)/mV 16 0 0 -6 0 aVF
A4372.mat 16x1+24 1000.0(0)/mV 16 0 23 11 0 V1
A4372.mat 16x1+24 1000.0(0)/mV 16 0 21 -47 0 V2
A4372.mat 16x1+24 1000.0(0)/mV 16 0 10 -18 0 V3
A4372.mat 16x1+24 1000.0(0)/mV 16 0 476 56 0 V4
A4372.mat 16x1+24 1000.0(0)/mV 16 0 230 20 0 V5
A4372.mat 16x1+24 1000.0(0)/mV 16 0 190 29 0 V6
# Age: 92
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown