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

File: <base>/training/cpsc_2018_extra/g1/Q0902.hea (695 bytes) 
Q0902 12 500 7000
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -39 1833 0 I
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -15 -2833 0 II
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 25 2334 0 III
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 27 -83 0 aVR
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -32 -3149 0 aVL
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 5 2610 0 aVF
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 26 -2383 0 V1
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -18 -76 0 V2
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 3 83 0 V3
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -140 -3042 0 V4
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -42 1906 0 V5
Q0902.mat 16x1+24 1000.0(0)/mV 16 0 -52 -251 0 V6
# Age: 80
# Sex: Male
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown