Biomedical Engineering and Computational Intelligence : Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 / / edited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (xiv, 112 pages) : illustrations
• Disciplina: 006.3; 610.28
• Soggetto topico: 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
• Persona (resp. second.): TavaresJoão Manuel R. S; DeyNilanjan; JoshiAmit
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Biomedical Engineering and Computational Intelligence
• ISBN: 3-030-21726-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910366608803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computational Vision and Biomechanics, . 2212-9391 ; ; 32