04359nam 22006015 450 991036660880332120200701094727.03-030-21726-410.1007/978-3-030-21726-6(CKB)4100000008785941(MiAaPQ)EBC5843016(DE-He213)978-3-030-21726-6(PPN)23849005X(EXLCZ)99410000000878594120190729d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBiomedical Engineering and Computational Intelligence[electronic resource] Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /edited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (xiv, 112 pages) illustrationsLecture Notes in Computational Vision and Biomechanics,2212-9391 ;323-030-21725-6 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.Lecture Notes in Computational Vision and Biomechanics,2212-9391 ;32Biomedical engineeringOptical data processingArtificial intelligenceComputer-aided engineeringBiomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer-Aided Engineering (CAD, CAE) and Designhttps://scigraph.springernature.com/ontologies/product-market-codes/I23044Biomedical 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.006.3Tavares João Manuel R. Sedthttp://id.loc.gov/vocabulary/relators/edtDey Nilanjanedthttp://id.loc.gov/vocabulary/relators/edtJoshi Amitedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910366608803321Biomedical Engineering and Computational Intelligence2104204UNINA