Publicacions en què col·labora amb José Ignacio Serrano Moreno (12)

2021

  1. Interaction with touchscreen smartphones in patients with essential tremor and healthy individuals

    Neurologia, Vol. 36, Núm. 9, pp. 657-665

  2. Using unsupervised machine learning to identify age- And sex-independent severity subgroups among patients with COVID-19: Observational longitudinal study

    Journal of Medical Internet Research, Vol. 23, Núm. 5

2020

  1. Machine Support to Discrimination of Parkinson’s Disease and Essential Tremor

    IFMBE Proceedings

2019

  1. A data mining approach for classification of orthostatic and essential tremor based on MRI-derived brain volume and cortical thickness

    Annals of Clinical and Translational Neurology, Vol. 6, Núm. 12, pp. 2531-2543

  2. Essential tremor severity and anatomical changes in brain areas controlling movement sequencing

    Annals of Clinical and Translational Neurology, Vol. 6, Núm. 1, pp. 83-97

  3. Neurological disorders in central Spain, second survey: Feasibility pilot observational study

    Journal of Medical Internet Research, Vol. 21, Núm. 1

  4. Smartwatch for the analysis of rest tremor in patients with Parkinson's disease

    Journal of the Neurological Sciences, Vol. 401, pp. 37-42

2018

  1. Essential tremor quantification based on the combined use of a smartphone and a smartwatch: The NetMD study

    Journal of Neuroscience Methods, Vol. 303, pp. 95-102

  2. Tremor severity in Parkinson's disease and cortical changes of areas controlling movement sequencing: A preliminary study

    Journal of Neuroscience Research, Vol. 96, Núm. 8, pp. 1341-1352

2017

  1. A data mining approach using cortical thickness for diagnosis and characterization of essential tremor /692/53/2421 /692/617/375/346 /129 /141 /123 article

    Scientific Reports, Vol. 7, Núm. 1

  2. Assessment of Tremor Severity in Patients with Essential Tremor Using Smartwatches

    Actas de las XXXVIII Jornadas de Automática

  3. Identification of activities of daily living in tremorous patients using inertial sensors

    Expert Systems with Applications, Vol. 83, pp. 40-48