A computer-aided diagnosis of multiple sclerosis based on mfVEP recordings.
Luis de SantiagoE M Sánchez MorlaMiguel OrtizElena LópezCarlos Amo UsanosM C Alonso-RodríguezR BareaCarlo Cavaliere-BallestaAlfredo FernándezLuciano BoquetePublished in: PloS one (2019)
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.