Update cookies preferences

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

  • Format: EPUB+DRM
  • Series: IFMBE Proceedings 116
  • Pub. Date: 03-Jan-2025
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031821233
  • Format - EPUB+DRM
  • Price: 197,59 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.
  • Format: EPUB+DRM
  • Series: IFMBE Proceedings 116
  • Pub. Date: 03-Jan-2025
  • Publisher: Springer International Publishing AG
  • Language: eng
  • ISBN-13: 9783031821233

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

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.

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.