A computer-aided diagnosis of multiple sclerosis based on mfVEP recordings

Luis de Santiago, Eva María Sánchez‐Morla, Miguel Ortiz del Castillo, Elena López, Carlos Amo Usanos, Concepción Alonso-Rodríguez, Rafael Barea, Carlo Cavaliere, Alfredo Fernández, Luciano Boquete

PLoS ONE · 2019 · 14 citations · 48 references

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Abstract

In addition to amplitude (axonal loss) and latency (demyelination), it has shown that the singular values of the mfVEP signals provide discriminatory information that may be used to identify subjects with differing degrees of the disease.

References

48