Universitat de Vic-ko ikertzaileekin lankidetzan egindako argitalpenak (18)

2022

  1. EMD-based data augmentation method applied to handwriting data for the diagnosis of Essential Tremor using LSTM networks

    Scientific Reports, Vol. 12, Núm. 1

2021

  1. Analysis of Fine Motor Skills in Essential Tremor: Combining Neuroimaging and Handwriting Biomarkers for Early Management

    Frontiers in Human Neuroscience, Vol. 15

2019

  1. Discrete cosine transform for the analysis of essential tremor

    Frontiers in Physiology, Vol. 10, Núm. JAN

  2. HAIDA: Biometric Technological Therapy Tools for Neurorehabilitation of Cognitive Impairment

    Biosystems and Biorobotics (Springer International Publishing), pp. 744-748

2018

  1. Automatic analysis of archimedes' spiral for characterization of genetic essential tremor based on Shannon's entropy and Fractal Dimension

    Entropy, Vol. 20, Núm. 7, pp. 1-15

2017

  1. Non-invasive Biosignal Analysis Oriented to Early Diagnosis and Monitoring of Cognitive Impairments

    Biosystems and Biorobotics (Springer International Publishing), pp. 867-872

2016

  1. Multi-class versus one-class classifier in spontaneous speech analysis oriented to alzheimer disease diagnosis

    Smart Innovation, Systems and Technologies (Springer Science and Business Media Deutschland GmbH), pp. 63-72

  2. Selection of entropy based features for automatic analysis of essential tremor

    Entropy, Vol. 18, Núm. 5

2015

  1. Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer's disease

    Neurocomputing, Vol. 150, Núm. PB, pp. 392-401

  2. Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach

    Computer Speech and Language, Vol. 30, Núm. 1, pp. 43-60

  3. Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor

    IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings

2014

  1. On the alzheimer’s disease diagnosis: Automatic spontaneous speech analysis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8790, pp. 272-281

2013

  1. Empirical mode decomposition-based face recognition system

    BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

  2. Feature extraction approach based on fractal dimension for spontaneous speech modelling oriented to alzheimer disease diagnosis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional Temperature

    Cognitive Computation, Vol. 7, Núm. 1, pp. 44-55

  4. On the selection of non-invasive methods based on speech analysis oriented to automatic Alzheimer disease diagnosis

    Sensors (Switzerland), Vol. 13, Núm. 5, pp. 6730-6745

2012

  1. Alzheimer disease diagnosis based on automatic spontaneous speech analysis

    IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence

  2. New approaches for Alzheimer's disease diagnosis based on automatic spontaneous speech analysis and emotional temperature

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)