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

File: <base>/training/cpsc_2018_extra/g3/Q3009.hea (715 bytes) 
Q3009 12 500 6000
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -18 -63 0 I
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -56 -1220 0 II
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -38 -1157 0 III
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 37 2383 0 aVR
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 10 -416 0 aVL
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -46 2327 0 aVF
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -2 -2710 0 V1
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -27 -2217 0 V2
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -15 -437 0 V3
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -109 -2005 0 V4
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -169 1284 0 V5
Q3009.mat 16x1+24 1000.0(0)/mV 16 0 -143 2583 0 V6
# Age: 66
# Sex: Male
# Dx: 270492004,164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown