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

File: <base>/training/cpsc_2018/g5/A4402.hea (672 bytes) 
A4402 12 500 5000
A4402.mat 16x1+24 1000.0(0)/mV 16 0 74 27 0 I
A4402.mat 16x1+24 1000.0(0)/mV 16 0 125 -17 0 II
A4402.mat 16x1+24 1000.0(0)/mV 16 0 51 -13 0 III
A4402.mat 16x1+24 1000.0(0)/mV 16 0 -99 -7 0 aVR
A4402.mat 16x1+24 1000.0(0)/mV 16 0 12 11 0 aVL
A4402.mat 16x1+24 1000.0(0)/mV 16 0 88 15 0 aVF
A4402.mat 16x1+24 1000.0(0)/mV 16 0 -44 -25 0 V1
A4402.mat 16x1+24 1000.0(0)/mV 16 0 177 -7 0 V2
A4402.mat 16x1+24 1000.0(0)/mV 16 0 282 4 0 V3
A4402.mat 16x1+24 1000.0(0)/mV 16 0 249 5 0 V4
A4402.mat 16x1+24 1000.0(0)/mV 16 0 173 2 0 V5
A4402.mat 16x1+24 1000.0(0)/mV 16 0 111 1 0 V6
# Age: 84
# Sex: Male
# Dx: 164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown