Vol. 44 No. 4 (2023): Special Issue on Recent Advances in Artificial Intelligence for Biomedical Engineering

View Vol. 44 No. 4 (2023): Special Issue on Recent Advances in Artificial Intelligence for Biomedical Engineering

This Special Issue to highlight ongoing efforts to explain recent advances in Biomedical Engineering using Artificial Intelligence techniques, such a Machine Learning and Deep Learning algorithms.

Published: 2023-08-17

Full Issue

Research Articles

  • Comparison of Spectral and Sparse Feature Extraction Methods for Heart Sounds Classification

    Roilhi Frajo Ibarra Hernández, Miguel Ángel Alonso-Arévalo, Eloísa del Carmen García-Canseco
    6-22
    DOI: https://doi.org/10.17488/RMIB.44.4.1

  • Using Machine Learning Algorithms on Electroencephalographic Signals to Assess Engineering Students' Focus While Solving Math Exercises

    José Jaime Esqueda Elizondo, Laura Jiménez Beristáin, Alejandra Serrano Trujillo, Margarita Zavala Arce, Diego Armando Trujillo Toledo, Óscar Roberto López-Bonilla, Gilberto Manuel Galindo Aldana, J. Reyes Juárez Ramírez, Andrea López Rivas, Annette Sofia Martinez Verdin, María Marlene Muñoz López, Itzel Arely Romano Pérez
    23-37
    DOI: https://doi.org/10.17488/RMIB.44.4.2

  • Feature Selection of Motor Activity in Intervals of Time with Genetics Algorithms for Depression Detection

    Carlos H. Espino-Salinas, Carlos E. Galván-Tejada, Ana G. Sánchez-Reyna , Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, Jorge A. Morgan-Benita, José M. Celaya-Padilla, Jorge I. Galván-Tejada
    38-52
    DOI: https://doi.org/10.17488/RMIB.44.4.3

  • Primary Screening System for Sarcopenia in Elderly People Based on Artificial Intelligence

    Santiago Arceo-Díaz, Elena Elsa Bricio-Barrios, Xóchitl Angélica Rosio Trujillo-Trujillo, José Ramón González-Farias, Jaime Alberto Bricio-Barrios, Mónica Rios-Silva, Miguel Huerta-Viera
    53-69
    DOI: https://doi.org/10.17488/RMIB.44.4.4

  • Sensor for Real-Time Glucose Measurement in Aqueous Media based on Nanomaterials Incorporating an Artificial Neural Network Algorithm on a System-On-Chip

    Xenia Azareth Ayon-Gómez, Ulises Jesús Tamayo-Pérez, Oscar Roberto López-Bonilla, Oscar Adrian Aguirre-Castro, Eunice Vargas-Viveros, Enrique Efrén García-Guerrero
    70-83
    DOI: https://doi.org/10.17488/RMIB.44.4.5

  • A Novel Detector of Atypical Beats for Early Diagnosis of Heart Diseases Based on the Stacked Beats Representation of 12-lead ECG

    Evgueny Kurmyshev, Deysy Galeana-Pérez
    84-104
    DOI: https://doi.org/10.17488/RMIB.44.4.6

  • Performance Evaluation of Biomedical Time Series Transformation Methods for Classification Tasks

    Carlos Alejandro Ku-Maldonado, Erik Molino-Minero-Re
    105-116
    DOI: https://doi.org/10.17488/RMIB.44.4.7

  • Development of an Adaptive Acquisition and Transmission System for Digital Processing of ECG Signals under Variable n-QAM Schemes

    José Ricardo Cárdenas-Valdez, Fortunato Ramírez-Arzate, Ángel Humberto Corral-Domínguez, Carlos Hurtado-Sánchez, Andrés Calvillo-Téllez, Enrique Efrén García-Guerrero
    117-127
    DOI: https://doi.org/10.17488/RMIB.44.4.8

  • Classification of Daily Living Activities in subjects with Parkinson’s Disease using Artificial Neural Networks

    Lizeth Rodriguez Montero, Jose Ambrosio Bastián, Alberto Isaac Pérez Sanpablo
    128-139
    DOI: https://doi.org/10.17488/RMIB.44.4.9

  • A U-Net with Statistical Shape Restrictions Applied to the Segmentation of the Left Ventricle in Echocardiographic Images

    Eduardo Galicia-Gómez, Fabían Torres-Robles, Jorge Pérez-González, Boris Escalante-Ramírez, Fernando Arámbula Cosío
    140-151
    DOI: https://doi.org/10.17488/RMIB.44.4.10

  • Evaluation of the Quality of Conversational Agents for the Creation of Evaluation Instruments in Bioelectric Signals Measurement

    Alberto Isaac Pérez-Sanpablo, Marcela D. Rodriguez-Urrea, María del Carmen Arquer-Ruiz, Adrian Octavio Ramirez-Morales, Alicia Meneses-Peñaloza
    152-164
    DOI: https://doi.org/10.17488/RMIB.44.4.11