XLVII Mexican Conference on Biomedical Engineering - Proceedings of CNIB 2024, November 7-9, 2024, Hermosillo, Sonora, México - Volume 1: Signal Processing And Bioinformatics

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.

List of contents

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.

Product details

• Assisted by: Gerardo Ames Lastra (Editor), Balam Benítez-Mata (Editor), Edgar Del Hierro-Gutierrez (Editor), José de Jesús Agustín Flores Cuautle (Editor), Humiko Yahaira Hernandez Acosta (Editor), José Javier Reyes-Lagos et al (Editor), José Javier Reyes-Lagos (Editor), Ricardo Antonio Salido-Ruiz (Editor), Esmeralda Zuñiga-Aguilar (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 12.02.2025
• EAN: 9783031821226
• ISBN: 978-3-0-3182122-6
• No. of pages: 473
• Dimensions: 155 mm x 26 mm x 235 mm
• Weight: 739 g
• Illustrations: XVIII, 473 p.
• Series: IFMBE Proceedings
• Subjects: Natural sciences, medicine, IT, technology > Technology > Miscellaneous; Elektronik, Computeranwendungen in Industrie und Technologie, Health Informatics, Digitale Signalverarbeitung (DSP), Signal, Speech and Image Processing, Medical and Health Technologies, Biomedical Signal Processing, SOMIB Sociedad Mexicana de Ingeniería Biomédica, EEG Acquisition and Analysis, Deep Learning Models in Medicine, Artificial Intelligence in Bioengineering, Computer Vision Application in Biology, Computational Chemistry for Drug Design, Segmentation in Bioimaging, Machine Learning for Medical Diagnosis, Organ-on-chip Technology, Convolutional Neural Networks for Disease Classification, EEG Microstate Analysis