Publicaciones en las que colabora con Daniel Abásolo Baz (77)

2013

  1. Analysis of intracranial pressure signals recorded during infusion studies using the spectral entropy

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  2. Spectral analysis of intracranial pressure signals recorded during infusion studies in patients with hydrocephalus

    Medical Engineering and Physics, Vol. 35, Núm. 10, pp. 1490-1498

2010

  1. Aplicación de las TIC en la planificación y docencia en ingeniería de Telecomunicación: una experiencia de coordinación en el marco del Espacio Europeo de Educación Superior

    VIII Jornades de Xarxes d'Investigació en Docència Universitària: noves titulacions i canvi universitari

  2. Aplicación de métodos no lineales a las señales de magnetoencefalograma para valorar el daño cerebral en enfermos de deterioro cognitivo leve

    Trauma, Vol. 21, Núm. 4, pp. 241-250

  3. Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies

    Child's Nervous System, Vol. 26, Núm. 12, pp. 1683-1689

  4. Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity

    Medical Engineering and Physics, Vol. 32, Núm. 10, pp. 1137-1144

  5. MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands

    2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

  6. Optimal parameters study for sample entropy-based atrial fibrillation organization analysis

    Computer Methods and Programs in Biomedicine, Vol. 99, Núm. 1, pp. 124-132

  7. Optimized assessment of atrial fibrillation organization through suitable parameters of Sample Entropy

    2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

  8. Study of Sample Entropy ideal computational parameters in the estimation of atrial fibrillation organization from the ECG

    Computing in Cardiology