Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(697 bytes)
A6694 12 500 5000
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -82 -147 0 I
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -219 -26 0 II
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -136 92 0 III
A6694.mat 16x1+24 1000.0(0)/mV 16 0 150 103 0 aVR
A6694.mat 16x1+24 1000.0(0)/mV 16 0 27 -74 0 aVL
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -177 10 0 aVF
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -121 68 0 V1
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -406 104 0 V2
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -854 122 0 V3
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -1359 75 0 V4
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -1467 -75 0 V5
A6694.mat 16x1+24 1000.0(0)/mV 16 0 -899 -362 0 V6
# Age: 63
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown