Publikationen, an denen er mitarbeitet ALFREDO ROSADO MUÑOZ (51)

2022

  1. Ventricular Fibrillation and Tachycardia Detection Using Features Derived from Topological Data Analysis

    Applied Sciences (Switzerland), Vol. 12, Núm. 14

2021

  1. Hyperspectral image classification using CNN: Application to industrial food packaging

    Food Control, Vol. 125

2020

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

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

2019

  1. A Novel Systolic Parallel Hardware Architecture for the FPGA Acceleration of Feedforward Neural Networks

    IEEE Access, Vol. 7, pp. 76084-76103

  2. Anscalable matrix computing unit architecture for FPGA,and SCUMO user design interface

    Electronics (Switzerland), Vol. 8, Núm. 1

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

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

  4. 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

  5. Ventricular fibrillation detection from ECG surface electrodes using different filtering techniques, window length and artificial neural networks

    2017 International Conference on Emerging Trends in Computing and Communication Technologies, ICETCCT 2017

2017

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

    IFMBE Proceedings

  2. 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. Clasificación de registros de microelectrodo para localización de zonas de estimulación en pacientes de Parkinson

    CASEIB 2016 XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Libro de actas

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

    IEEE International Conference on Industrial Informatics (INDIN)

  3. 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

  4. 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

  5. Versatile Direct and Transpose Matrix Multiplication with Chained Operations: An Optimized Architecture Using Circulant Matrices

    IEEE Transactions on Computers, Vol. 65, Núm. 11, pp. 3470-3479

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. Design environment for hardware generation of SLFF neural network topologies with ELM training capability

    Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015