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

File: <base>/training/cpsc_2018/g5/A4609.hea (670 bytes) 
A4609 12 500 6527
A4609.mat 16x1+24 1000.0(0)/mV 16 0 33 -18 0 I
A4609.mat 16x1+24 1000.0(0)/mV 16 0 37 25 0 II
A4609.mat 16x1+24 1000.0(0)/mV 16 0 4 4 0 III
A4609.mat 16x1+24 1000.0(0)/mV 16 0 -35 25 0 aVR
A4609.mat 16x1+24 1000.0(0)/mV 16 0 15 1 0 aVL
A4609.mat 16x1+24 1000.0(0)/mV 16 0 19 -20 0 aVF
A4609.mat 16x1+24 1000.0(0)/mV 16 0 70 9 0 V1
A4609.mat 16x1+24 1000.0(0)/mV 16 0 112 -19 0 V2
A4609.mat 16x1+24 1000.0(0)/mV 16 0 135 -16 0 V3
A4609.mat 16x1+24 1000.0(0)/mV 16 0 39 -22 0 V4
A4609.mat 16x1+24 1000.0(0)/mV 16 0 31 -11 0 V5
A4609.mat 16x1+24 1000.0(0)/mV 16 0 46 -1 0 V6
# Age: 76
# Sex: Male
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown