Biomedical 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 Joshi
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| Titolo: |
Biomedical 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 Joshi
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (xiv, 112 pages) : illustrations |
| Disciplina: | 006.3 |
| 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 |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Computational Vision and Biomechanics, . 2212-9391 ; ; 32