Biomedical Engineering and Computational Intelligence
Springer International Publishing (Verlag)
9783030217280 (ISBN)
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.
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.
| Erscheinungsdatum | 17.08.2020 |
|---|---|
| Reihe/Serie | Lecture Notes in Computational Vision and Biomechanics |
| Zusatzinfo | XIV, 112 p. 51 illus., 33 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 253 g |
| Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
| Technik | |
| Schlagworte | Automatic Classification System • BIOCOM 2018 • Bioinspired Models • Blood Flow Geometry • Complex-structured Domain • Driver's Stress Detection • Driver’s Stress Detection • Gait Modelling • Generating Dynamic Signatures • Handwritten Signature Verification • HD-sEMG • High Density sEMG • Inverse Kinematics Problem • MHD Interference • Modular Ontology Model • Multivariate Model of Human Blood Tissue • Musculoskeletal Model • Noninvasive Monitoring of Glucose • Robust Evaluation of Motor Function • Skin Potential Response |
| ISBN-13 | 9783030217280 / 9783030217280 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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