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

File: <base>/training/cpsc_2018/g5/A4342.hea (678 bytes) 
A4342 12 500 26740
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -10 8 0 I
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -20 48 0 II
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -10 -1 0 III
A4342.mat 16x1+24 1000.0(0)/mV 16 0 15 -88 0 aVR
A4342.mat 16x1+24 1000.0(0)/mV 16 0 0 52 0 aVL
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -16 -50 0 aVF
A4342.mat 16x1+24 1000.0(0)/mV 16 0 50 147 0 V1
A4342.mat 16x1+24 1000.0(0)/mV 16 0 62 -17 0 V2
A4342.mat 16x1+24 1000.0(0)/mV 16 0 37 5 0 V3
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -47 43 0 V4
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -62 -4 0 V5
A4342.mat 16x1+24 1000.0(0)/mV 16 0 -103 -67 0 V6
# Age: 75
# Sex: Female
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown