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

File: <base>/training/cpsc_2018_extra/g1/Q0953.hea (689 bytes) 
Q0953 12 500 5000
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 9 10 0 I
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 3 -7 0 II
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -6 -13 0 III
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -6 -22 0 aVR
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 8 -14 0 aVL
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -2 -18 0 aVF
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4 0 V1
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -141 -9 0 V2
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -155 -16 0 V3
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -113 20 0 V4
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 -43 -14 0 V5
Q0953.mat 16x1+24 1000.0(0)/mV 16 0 29 -14 0 V6
# Age: 73
# Sex: Female
# Dx: 413844008,164865005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown