Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(672 bytes)
A0906 12 500 5000
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -36 19 0 I
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -29 24 0 II
A0906.mat 16x1+24 1000.0(0)/mV 16 0 7 -5 0 III
A0906.mat 16x1+24 1000.0(0)/mV 16 0 32 -3 0 aVR
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -21 15 0 aVL
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -11 18 0 aVF
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -43 6 0 V1
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -122 27 0 V2
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -84 15 0 V3
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -59 8 0 V4
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -41 4 0 V5
A0906.mat 16x1+24 1000.0(0)/mV 16 0 -33 -44 0 V6
# Age: 68
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown