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 (editors).

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 inclu...

Full description

Saved in:
Bibliographic Details
Corporate Author: World Thematic Conference--Biomedical Engineering and Computational Intelligence London, England
Other Authors: Tavares, João Manuel R. S. (Editor), Dey, Nilanjan, 1984- (Editor), Joshi, Amit (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Lecture notes in computational vision and biomechanics ; v. 32.
Subjects:
Online Access:Click for online access
Table of Contents:
  • 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.