Biomedical Engineering and Computational Intelligence  Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /  [electronic resource] : 
edited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi. 
 - 1st ed. 2020. 
 - XIV, 112 p. 51 illus., 33 illus. in color.  online resource. 
 - Lecture Notes in Computational Vision and Biomechanics,  32  2212-9413 ; .
 - Lecture Notes in Computational Vision and Biomechanics,  32 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030217266 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-21726-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biomedical engineering.<br/>Computer vision.<br/>Artificial intelligence.<br/>Computer-aided engineering.<br/>Biomedical Engineering and Bioengineering.<br/>Computer Vision.<br/>Artificial Intelligence.<br/>Computer-Aided Engineering (CAD, CAE) and Design.
<br/><br/><label>LC Class. No.: </label>R856-857 
<br/><br/><label>Dewey Class. No.: </label>610.28