Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(693 bytes)
A4764 12 500 8000
A4764.mat 16x1+24 1000.0(0)/mV 16 0 5 776 0 I
A4764.mat 16x1+24 1000.0(0)/mV 16 0 3 3895 0 II
A4764.mat 16x1+24 1000.0(0)/mV 16 0 -2 3119 0 III
A4764.mat 16x1+24 1000.0(0)/mV 16 0 -3 1088 0 aVR
A4764.mat 16x1+24 1000.0(0)/mV 16 0 4 1772 0 aVL
A4764.mat 16x1+24 1000.0(0)/mV 16 0 1 3507 0 aVF
A4764.mat 16x1+24 1000.0(0)/mV 16 0 25 -3689 0 V1
A4764.mat 16x1+24 1000.0(0)/mV 16 0 116 2529 0 V2
A4764.mat 16x1+24 1000.0(0)/mV 16 0 212 3132 0 V3
A4764.mat 16x1+24 1000.0(0)/mV 16 0 179 -3889 0 V4
A4764.mat 16x1+24 1000.0(0)/mV 16 0 148 -3991 0 V5
A4764.mat 16x1+24 1000.0(0)/mV 16 0 27 2327 0 V6
# Age: 60
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown