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

File: <base>/training/cpsc_2018_extra/g3/Q2352.hea (674 bytes) 
Q2352 12 500 5000
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 7 -30 0 I
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 33 22 0 II
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 26 -39 0 III
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 -21 -25 0 aVR
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 -10 15 0 aVL
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 30 -4 0 aVF
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 -6 -11 0 V1
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 152 36 0 V2
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 261 42 0 V3
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 147 50 0 V4
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 155 56 0 V5
Q2352.mat 16x1+24 1000.0(0)/mV 16 0 81 68 0 V6
# Age: 83
# Sex: Male
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown