Biomedical Engineering and Computational Intelligence

Proceedings of The World Thematic Conference¿Biomedical Engineering and Computational Intelligence, BIOCOM 2018
Herausgegeben:Tavares, João Manuel R. S.; Dey, Nilanjan; Joshi, Amit

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computational Vision and Biomechanics 32
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-21728-0
• 1st ed. 2020
• Seitenzahl: 128
• Erscheinungstermin: 15. August 2020
• Englisch
• Abmessung: 235mm x 155mm x 7mm
• Gewicht: 234g
• ISBN-13: 9783030217280
• ISBN-10: 3030217280
• Artikelnr.: 59807510

Inhaltsangabe

Chapter 1. Bioinspired Approach to Inverse Kinematic Problem.- Chapter 2. Assessment of Two Musculoskeletal Models in Children with Crouch Gait.- Chapter 3. Low-Complexity Classi cation Algorithm to Identify Drivers' Stress using Electrodermal Activity (EDA) Measurements.- Chapter 4. 3D Model of Blood Flow for Magnetohydrodynamics Study.- Chapter 5. Nonlinear Autoregressive Model Design and Optimization based on ANN for the Prediction of Chaotic Patterns in EEG Time Series.- Chapter 6. Using a coupled MDOF biodynamic model to study the effect of curvature of spine on lumbar spine compression under axial loads.- Chapter 7. Applied logics to develop ontology model of complex-structured domains: organic chemistry and biochemistry.- Chapter 8. Analysis of HD-sEMG signals using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing.- Chapter 9. Effect of reduced point NIR spectroscopy on glucose prediction error in human blood tissue.- Chapter 10. Data augmentation for Signature Images in On-line Verification Systems.