Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(687 bytes)
Q0965 12 500 5500
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 82 -21 0 I
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 132 -13 0 II
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 50 -30 0 III
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 -106 53 0 aVR
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 16 11 0 aVL
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 91 -12 0 aVF
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 187 8 0 V1
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 508 47 0 V2
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 442 34 0 V3
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 305 5 0 V4
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 165 21 0 V5
Q0965.mat 16x1+24 1000.0(0)/mV 16 0 100 -21 0 V6
# Age: 68
# Sex: Male
# Dx: 164930006,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown