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

File: <base>/training/cpsc_2018/g5/A4509.hea (680 bytes) 
A4509 12 500 5000
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -19 20 0 I
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -23 -19 0 II
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -4 -31 0 III
A4509.mat 16x1+24 1000.0(0)/mV 16 0 21 -3 0 aVR
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -7 -11 0 aVL
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -13 -30 0 aVF
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -49 -10 0 V1
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -122 -1 0 V2
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -132 18 0 V3
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -95 9 0 V4
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -75 -24 0 V5
A4509.mat 16x1+24 1000.0(0)/mV 16 0 -63 -7 0 V6
# Age: 29
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown