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

File: <base>/training/cpsc_2018/g5/A4363.hea (706 bytes) 
A4363 12 500 6500
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -83 3128 0 I
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -72 -989 0 II
A4363.mat 16x1+24 1000.0(0)/mV 16 0 12 2383 0 III
A4363.mat 16x1+24 1000.0(0)/mV 16 0 77 -1410 0 aVR
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -48 -2382 0 aVL
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -30 -2500 0 aVF
A4363.mat 16x1+24 1000.0(0)/mV 16 0 36 -2604 0 V1
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2681 0 V2
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -128 2633 0 V3
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -101 -101 0 V4
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -94 829 0 V5
A4363.mat 16x1+24 1000.0(0)/mV 16 0 -82 2216 0 V6
# Age: 45
# Sex: Female
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown