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

File: <base>/training/cpsc_2018_extra/g1/Q0035.hea (691 bytes) 
Q0035 12 500 5000
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -25 -2 0 I
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -29 -18 0 II
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -4 -16 0 III
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 28 -25 0 aVR
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -11 13 0 aVL
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -17 -1 0 aVF
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 84 -42 0 V1
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 154 -55 0 V2
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 66 -1 0 V3
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -12 -30 0 V4
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -11 -16 0 V5
Q0035.mat 16x1+24 1000.0(0)/mV 16 0 -15 -29 0 V6
# Age: 79
# Sex: Male
# Dx: 413844008,164865005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown