Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
A4964 12 500 15500
A4964.mat 16x1+24 1000.0(0)/mV 16 0 37 6824 0 I
A4964.mat 16x1+24 1000.0(0)/mV 16 0 9 -2042 0 II
A4964.mat 16x1+24 1000.0(0)/mV 16 0 -27 6634 0 III
A4964.mat 16x1+24 1000.0(0)/mV 16 0 -23 -2721 0 aVR
A4964.mat 16x1+24 1000.0(0)/mV 16 0 31 -7114 0 aVL
A4964.mat 16x1+24 1000.0(0)/mV 16 0 -9 -5306 0 aVF
A4964.mat 16x1+24 1000.0(0)/mV 16 0 32 2930 0 V1
A4964.mat 16x1+24 1000.0(0)/mV 16 0 61 -3057 0 V2
A4964.mat 16x1+24 1000.0(0)/mV 16 0 88 1611 0 V3
A4964.mat 16x1+24 1000.0(0)/mV 16 0 38 -524 0 V4
A4964.mat 16x1+24 1000.0(0)/mV 16 0 71 -6744 0 V5
A4964.mat 16x1+24 1000.0(0)/mV 16 0 369 3778 0 V6
# Age: 76
# Sex: Female
# Dx: 164909002,164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown