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

File: <base>/training/cpsc_2018/g5/A4709.hea (674 bytes) 
A4709 12 500 5000
A4709.mat 16x1+24 1000.0(0)/mV 16 0 66 -21 0 I
A4709.mat 16x1+24 1000.0(0)/mV 16 0 128 21 0 II
A4709.mat 16x1+24 1000.0(0)/mV 16 0 61 -8 0 III
A4709.mat 16x1+24 1000.0(0)/mV 16 0 -98 -22 0 aVR
A4709.mat 16x1+24 1000.0(0)/mV 16 0 2 -16 0 aVL
A4709.mat 16x1+24 1000.0(0)/mV 16 0 95 25 0 aVF
A4709.mat 16x1+24 1000.0(0)/mV 16 0 403 34 0 V1
A4709.mat 16x1+24 1000.0(0)/mV 16 0 703 -17 0 V2
A4709.mat 16x1+24 1000.0(0)/mV 16 0 494 7 0 V3
A4709.mat 16x1+24 1000.0(0)/mV 16 0 540 28 0 V4
A4709.mat 16x1+24 1000.0(0)/mV 16 0 422 5 0 V5
A4709.mat 16x1+24 1000.0(0)/mV 16 0 220 23 0 V6
# Age: 67
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown