Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(703 bytes)
A4644 12 500 5000
A4644.mat 16x1+24 1000.0(0)/mV 16 0 180 2361 0 I
A4644.mat 16x1+24 1000.0(0)/mV 16 0 37 -1561 0 II
A4644.mat 16x1+24 1000.0(0)/mV 16 0 -142 1078 0 III
A4644.mat 16x1+24 1000.0(0)/mV 16 0 -108 -822 0 aVR
A4644.mat 16x1+24 1000.0(0)/mV 16 0 160 -1172 0 aVL
A4644.mat 16x1+24 1000.0(0)/mV 16 0 -53 -2267 0 aVF
A4644.mat 16x1+24 1000.0(0)/mV 16 0 655 2251 0 V1
A4644.mat 16x1+24 1000.0(0)/mV 16 0 193 395 0 V2
A4644.mat 16x1+24 1000.0(0)/mV 16 0 426 -971 0 V3
A4644.mat 16x1+24 1000.0(0)/mV 16 0 264 -727 0 V4
A4644.mat 16x1+24 1000.0(0)/mV 16 0 35 -1176 0 V5
A4644.mat 16x1+24 1000.0(0)/mV 16 0 107 765 0 V6
# Age: 43
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown