Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(693 bytes)
Q0929 12 500 5000
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 5 -69 0 I
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -45 -23 0 II
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -49 -14 0 III
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 20 50 0 aVR
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 27 14 0 aVL
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3 0 aVF
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -131 -57 0 V1
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -59 -23 0 V2
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -98 -39 0 V3
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -74 -59 0 V4
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -84 -71 0 V5
Q0929.mat 16x1+24 1000.0(0)/mV 16 0 -65 -62 0 V6
# Age: 83
# Sex: Male
# Dx: 713427006,164861001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown