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

File: <base>/training/cpsc_2018_extra/g1/Q0917.hea (710 bytes) 
Q0917 12 500 5000
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 199 1409 0 I
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 20 -928 0 II
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 -179 -2337 0 III
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 -109 -136 0 aVR
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 189 2212 0 aVL
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 -79 -1566 0 aVF
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 -54 275 0 V1
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 46 1294 0 V2
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 58 -695 0 V3
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 27 1027 0 V4
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 11 1633 0 V5
Q0917.mat 16x1+24 1000.0(0)/mV 16 0 -16 406 0 V6
# Age: 84
# Sex: Female
# Dx: 164861001,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown