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

File: <base>/training/cpsc_2018/g5/A4302.hea (677 bytes) 
A4302 12 500 5000
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -14 -33 0 I
A4302.mat 16x1+24 1000.0(0)/mV 16 0 20 -1 0 II
A4302.mat 16x1+24 1000.0(0)/mV 16 0 34 32 0 III
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -2 25 0 aVR
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -24 -9 0 aVL
A4302.mat 16x1+24 1000.0(0)/mV 16 0 27 28 0 aVF
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -64 -3 0 V1
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -72 22 0 V2
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -136 8 0 V3
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -218 30 0 V4
A4302.mat 16x1+24 1000.0(0)/mV 16 0 -202 -18 0 V5
A4302.mat 16x1+24 1000.0(0)/mV 16 0 31 -15 0 V6
# Age: 35
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown