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

File: <base>/training/cpsc_2018_extra/g4/Q3180.hea (692 bytes) 
Q3180 12 500 7000
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 2 -678 0 I
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 -9 238 0 II
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 -11 916 0 III
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 4 3475 0 aVR
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 6 -1440 0 aVL
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 -11 -2815 0 aVF
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 164 2436 0 V1
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 455 -74 0 V2
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 536 3224 0 V3
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 214 3128 0 V4
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 90 3116 0 V5
Q3180.mat 16x1+24 1000.0(0)/mV 16 0 118 3347 0 V6
# Age: 81
# Sex: Male
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown