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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



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Titolo: 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 Visualizza cluster
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  Visualizza cluster
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
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Serie: Lecture Notes in Computational Vision and Biomechanics, . 2212-9391 ; ; 32