Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(671 bytes)
A6782 12 500 5000
A6782.mat 16x1+24 1000.0(0)/mV 16 0 6 -24 0 I
A6782.mat 16x1+24 1000.0(0)/mV 16 0 68 5 0 II
A6782.mat 16x1+24 1000.0(0)/mV 16 0 62 6 0 III
A6782.mat 16x1+24 1000.0(0)/mV 16 0 -37 -2 0 aVR
A6782.mat 16x1+24 1000.0(0)/mV 16 0 -28 -1 0 aVL
A6782.mat 16x1+24 1000.0(0)/mV 16 0 65 19 0 aVF
A6782.mat 16x1+24 1000.0(0)/mV 16 0 14 -24 0 V1
A6782.mat 16x1+24 1000.0(0)/mV 16 0 -4 -34 0 V2
A6782.mat 16x1+24 1000.0(0)/mV 16 0 -56 -38 0 V3
A6782.mat 16x1+24 1000.0(0)/mV 16 0 21 51 0 V4
A6782.mat 16x1+24 1000.0(0)/mV 16 0 -31 10 0 V5
A6782.mat 16x1+24 1000.0(0)/mV 16 0 -19 28 0 V6
# Age: 79
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown