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

File: <base>/training/cpsc_2018_extra/g4/Q3516.hea (673 bytes) 
Q3516 12 500 5500
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 27 28 0 I
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 7 33 0 II
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 -20 -26 0 III
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 -17 -31 0 aVR
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 24 23 0 aVL
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 -6 -3 0 aVF
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 126 -16 0 V1
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 192 86 0 V2
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 83 143 0 V3
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 64 119 0 V4
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 35 66 0 V5
Q3516.mat 16x1+24 1000.0(0)/mV 16 0 -7 17 0 V6
# Age: 67
# Sex: Male
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown