Argitalpenak (121) JUAN FCO GUERRERO MARTINEZ argitalpenak

2020

  1. Hyperammonemia alters the mismatch negativity in the auditory evoked potential by altering functional connectivity and neurotransmission

    Journal of Neurochemistry, Vol. 154, Núm. 1, pp. 56-70

  2. Real-time localization of epileptogenic foci EEG signals: An FPGA-based implementation

    Applied Sciences (Switzerland), Vol. 10, Núm. 3

2019

  1. Optimization of the KNN supervised classification algorithm as a support tool for the implantation of deep brain stimulators in patients with Parkinson'S Disease

    Entropy, Vol. 21, Núm. 4

2018

  1. Detección de Fibrilación Ventricular Mediante Tiempo-Frecuencia y Clasificador KNN sin Extracción de Parámetros

    Revista iberoamericana de automática e informática industrial ( RIAI ), Vol. 15, Núm. 1, pp. 124-132

  2. Detection of ventricular fibrillation using the image from time-frequency representation and combined classifiers without feature extraction

    Applied Sciences (Switzerland), Vol. 8, Núm. 11

  3. Effect of chronic exercise on myocardial electrophysiological heterogeneity and stability. Role of intrinsic cholinergic neurons: A study in the isolated rabbit heart

    PLoS ONE, Vol. 13, Núm. 12

  4. Less data same information for event-based sensors: A bioinspired filtering and data reduction algorithm

    Sensors (Switzerland), Vol. 18, Núm. 12

  5. Moving learning machine towards fast real-time applications: A high-speed FPGA-based implementation of the OS-ELM training algorithm

    Electronics (Switzerland), Vol. 7, Núm. 11

2017

  1. Causal relationships between neurons of the nucleus incertus and the hippocampal theta activity in the rat

    Journal of Physiology, Vol. 595, Núm. 5, pp. 1775-1792

  2. Feature selection for KNN classifier to improve accurate detection of subthalamic nucleus during deep brain stimulation surgery in parkinson’s patients

    IFMBE Proceedings

  3. Selection of the optimal algorithm for real-time estimation of beta band power during DBS surgeries in patients with Parkinson's disease

    Computational Intelligence and Neuroscience, Vol. 2017

  4. Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning

    Computer Methods and Programs in Biomedicine, Vol. 141, pp. 119-127

2016

  1. Event-based encoding from digital magnetic compass and ultrasonic distance sensor for navigation in mobile systems

    IEEE International Conference on Industrial Informatics (INDIN)

  2. Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance

    Computers and Electrical Engineering, Vol. 51, pp. 139-156

  3. Methodological proposal for the analysis of proprioception

    Contribución de la ingeniería gráfica a la sociedad: congreso Internacional de Ingeniería Gráfica (INGEGRAF)

  4. STN area detection using K-NN classifiers for MER recordings in Parkinson patients during neurostimulator implant surgery

    Journal of Physics: Conference Series

  5. Support Tool for the Combined Software/Hardware Design of On-Chip ELM Training for SLFF Neural Networks

    IEEE Transactions on Industrial Informatics, Vol. 12, Núm. 3, pp. 1114-1123

2015

  1. Analysis of the modifications in the spectral and morphologic regularity during ventricular fibrillation produced by physical exercise and the use of glibenclamide

    IFMBE Proceedings

  2. Characterization of microelectrode records in deep brain stimulation applied to Parkinson’s disease patients

    IFMBE Proceedings

  3. Corrigendum to Regular theta-firing neurons in the nucleus incertus during sustained hippocampal activation [Eur. J. Neurosci. 2015, 41, 1049-1067]

    European Journal of Neuroscience