Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(673 bytes)
A6652 12 500 5000
A6652.mat 16x1+24 1000.0(0)/mV 16 0 66 -12 0 I
A6652.mat 16x1+24 1000.0(0)/mV 16 0 29 -24 0 II
A6652.mat 16x1+24 1000.0(0)/mV 16 0 -37 -9 0 III
A6652.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25 0 aVR
A6652.mat 16x1+24 1000.0(0)/mV 16 0 52 -7 0 aVL
A6652.mat 16x1+24 1000.0(0)/mV 16 0 -4 16 0 aVF
A6652.mat 16x1+24 1000.0(0)/mV 16 0 10 -41 0 V1
A6652.mat 16x1+24 1000.0(0)/mV 16 0 95 -44 0 V2
A6652.mat 16x1+24 1000.0(0)/mV 16 0 28 14 0 V3
A6652.mat 16x1+24 1000.0(0)/mV 16 0 17 7 0 V4
A6652.mat 16x1+24 1000.0(0)/mV 16 0 29 -24 0 V5
A6652.mat 16x1+24 1000.0(0)/mV 16 0 44 -23 0 V6
# Age: 70
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown