Roberto Muñoz

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OBJECTIVE To assess if axonal damage in severe acute inflammatory demyelinating polyneuropathy (AIDP) correlates with the appearance of epiperineurium in nerve trunks. BACKGROUND Increase of endoneurial fluid pressure in nerve trunks possessing epiperineurium may be an important mechanism of axonal damage in AIDP. METHODS A 79-year-old man had a 2-day(More)
We introduce a new technique, based on Gaussian maps, to study the possibility, for a given surface, to lie on a threefold as a very ample divisor with given normal bundle. We give several applications, among which one to surfaces of general type and another one to Enriques surfaces. For the latter we prove that any threefold (with no assumption on its(More)
This paper describes a new method based on a voltammetric electronic tongue (ET) for the recognition of distinctive features in coffee samples. An ET was directly applied to different samples from the main Mexican coffee regions without any pretreatment before the analysis. The resulting electrochemical information was modeled with two different(More)
An approach to an inhibition bioelectronic tongue is presented. The work is focused on development of an automated flow system to carry out experimental assays, a custom potentiostat to measure the response from an enzymatic biosensor, and an inhibition protocol which allows on-line detections. A Multi-commuted Flow Analysis system (MCFA) was selected and(More)
The clinical presentation and evolution, neuropathological findings, and genotyping of three members of a Spanish family affected with fatal familial insomnia are reported. The mother and two of her offspring developed a rapidly evolving disease with insomnia and behavioural disorders as the initial symptoms and died between 5 and 10 months after the onset(More)
In the study of voltammetric electronic tongues, a key point is the preproces-sing of the departure information, the voltammograms which form the response of the sensor array, prior to classification or modeling with advanced chemometric tools. This work demonstrates the use of the discrete wavelet transform (DWT) for compacting these voltammograms prior to(More)
— In this paper, different classifiers were trained to identify myoelectric registers, in order to recognize nine different motions related to four degrees of freedom of the forearm. Three main methods were compared, namely Linear Discriminant Analysis, Artificial Neural Networks and Support Vector Machines. The behavior of pattern recognition schemes was(More)