Biomedical Engineering and Computational Intelligence [electronic resource] : Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /
Tavares, João Manuel R. S.editor.(orcid)0000-0001-7603-6526https://orcid.org/0000-0001-7603-6526edt
Dey, Nilanjan.editor.
Joshi, Amit.editor.
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.
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.
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.
Biomedical engineering.
Optical data processing.
Artificial intelligence.
Computer-aided engineering.
Biomedical Engineering and Bioengineering.
Image Processing and Computer Vision.
Artificial Intelligence.
Computer-Aided Engineering (CAD, CAE) and Design.