XLVII Mexican Conference on Biomedical Engineering

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Geliefert zwischen Mo., 24.11.2025 und Di., 25.11.2025

Details

This book reports on cutting-edge research and best practices in the broad field of biomedical engineering. Based on the XLVII Mexican Conference on Biomedical Engineering, CNIB 2024, held on November 7-9, 2024 in Hermosillo, Sonora, México, this first volume of the proceedings covers research topics in biomedical signal processing, computational biology and prosthetics, with applications of artificial intelligence for medical diagnosis, behavioral studies and more. All in all, this book provides a timely snapshot on state-of-the-art achievements in biomedical engineering and current challenges in the field. It addresses both researchers and professionals, and it is expected to foster future collaborations between the two groups, as well as international collaborations.


Gives novel insights into signals, images, and biology data processing methods Describes applications of artificial intelligence and data science in biomedicine First volume of a 2-volume set

Inhalt

ML Design in Handwriting Analysis for Prediction of Alzheimer's Disease.- Machine learning for classification of electrooculography signals in the detection of visual fatigue syndrome.- Machine Learning Techniques for Classifying Cardiac Arrhythmias.- A Machine Learning approach to breast cancer detection in mammograms.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031821226
    • Editor José de Jesús Agustín Flores Cuautle, Balam Benítez-Mata, José Javier Reyes-Lagos, Humiko Yahaira Hernandez Acosta, Gerardo Ames Lastra, Esmeralda Zuñiga-Aguilar, Edgar Del Hierro-Gutierrez, Ricardo Antonio Salido-Ruiz
    • Genre Books on Technology
    • Lesemotiv Verstehen
    • Anzahl Seiten 473
    • Herausgeber Springer
    • Untertitel Proceedings of CNIB 2024, November 79, 2024, Hermosillo, Sonora, Mxico - Volume 1: Signal Processing And Bioinformatics
    • Titel XLVII Mexican Conference on Biomedical Engineering
    • Veröffentlichung 04.01.2025
    • ISBN 978-3-031-82122-6
    • Format Kartonierter Einband
    • EAN 9783031821226
    • Jahr 2025
    • Größe H235mm x B155mm
    • Sprache Englisch

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