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

File: <base>/training/cpsc_2018/g5/A4392.hea (684 bytes) 
A4392 12 500 5644
A4392.mat 16x1+24 1000.0(0)/mV 16 0 -60 -40 0 I
A4392.mat 16x1+24 1000.0(0)/mV 16 0 -29 47 0 II
A4392.mat 16x1+24 1000.0(0)/mV 16 0 31 14 0 III
A4392.mat 16x1+24 1000.0(0)/mV 16 0 44 -19 0 aVR
A4392.mat 16x1+24 1000.0(0)/mV 16 0 -45 -2 0 aVL
A4392.mat 16x1+24 1000.0(0)/mV 16 0 1 -14 0 aVF
A4392.mat 16x1+24 1000.0(0)/mV 16 0 11 13 0 V1
A4392.mat 16x1+24 1000.0(0)/mV 16 0 -12 -31 0 V2
A4392.mat 16x1+24 1000.0(0)/mV 16 0 -10 -17 0 V3
A4392.mat 16x1+24 1000.0(0)/mV 16 0 -13 6 0 V4
A4392.mat 16x1+24 1000.0(0)/mV 16 0 99 4 0 V5
A4392.mat 16x1+24 1000.0(0)/mV 16 0 3 -12 0 V6
# Age: 55
# Sex: Female
# Dx: 59118001,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown