Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(676 bytes)
A6362 12 500 5000
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -18 -52 0 I
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -24 -83 0 II
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -6 -75 0 III
A6362.mat 16x1+24 1000.0(0)/mV 16 0 21 83 0 aVR
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -6 28 0 aVL
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -15 -68 0 aVF
A6362.mat 16x1+24 1000.0(0)/mV 16 0 16 87 0 V1
A6362.mat 16x1+24 1000.0(0)/mV 16 0 44 92 0 V2
A6362.mat 16x1+24 1000.0(0)/mV 16 0 26 70 0 V3
A6362.mat 16x1+24 1000.0(0)/mV 16 0 41 -19 0 V4
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -22 -49 0 V5
A6362.mat 16x1+24 1000.0(0)/mV 16 0 -83 -97 0 V6
# Age: 63
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown