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Biomedical Engineering and Computational Intelligence

Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018

  • João Manuel R. S. Tavares
  • Nilanjan Dey
  • Amit Joshi
Conference proceedings BIOCOM 2018

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 32)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Rami Alkhatib, Maher Sabbah, Mohamad O. Diab, Mohammad Taha, Khalid Salloum
    Pages 1-11
  3. Emiliano P. Ravera, Juan A. Beret, Mauricio Riveras, Marcos J. Crespo, Aliah F. Shaheen, Paola A. Catalfamo Formento
    Pages 13-23
  4. Pamela Zontone, Antonio Affanni, Riccardo Bernardini, Alessandro Piras, Roberto Rinaldo
    Pages 25-33
  5. Maher Sabbah, Houssam Salami, Jad Kozaily, Rami Alkhatib
    Pages 35-50
  6. Swati Banerjee, Loubna Imrani, Kiyoka Kinugawa, Jeremy Laforet, Sofiane Boudaoud
    Pages 83-92
  7. Jivan Parab, M. Sequeira, R. S. Gad, G. M. Naik
    Pages 93-103
  8. Anastasia Beresneva, Anna Epishkina
    Pages 105-112

About these proceedings

Introduction

This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30–31, 2018.

Keywords

Musculoskeletal Model Gait Modelling Inverse Kinematics Problem Bioinspired Models MHD Interference Blood Flow Geometry Complex-structured Domain Modular Ontology Model Robust Evaluation of Motor Function High Density sEMG HD-sEMG Multivariate Model of Human Blood Tissue Noninvasive Monitoring of Glucose Generating Dynamic Signatures Handwritten Signature Verification Automatic Classification System Skin Potential Response Driver’s Stress Detection BIOCOM 2018

Editors and affiliations

  1. 1.University of PortoPortoPortugal
  2. 2.Techno India College of EngineeringKolkataIndia
  3. 3.Global Knowledge Research FoundationAhmedabadIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-21726-6
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-21725-9
  • Online ISBN 978-3-030-21726-6
  • Series Print ISSN 2212-9391
  • Series Online ISSN 2212-9413
  • Buy this book on publisher's site
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