Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
A6664 12 500 10000
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -17 2769 0 I
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -280 -4992 0 II
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -262 2239 0 III
A6664.mat 16x1+24 1000.0(0)/mV 16 0 148 -3293 0 aVR
A6664.mat 16x1+24 1000.0(0)/mV 16 0 123 4710 0 aVL
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -271 -1466 0 aVF
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -281 -3582 0 V1
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -290 -1494 0 V2
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -387 -641 0 V3
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -386 -1751 0 V4
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -305 2590 0 V5
A6664.mat 16x1+24 1000.0(0)/mV 16 0 -239 3219 0 V6
# Age: 78
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown