Biomedical Engineering and Computational Intelligence
Springer International Publishing (Verlag)
978-3-030-21725-9 (ISBN)
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 | 31.07.2019 |
---|---|
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 | 395 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-10 | 3-030-21725-6 / 3030217256 |
ISBN-13 | 978-3-030-21725-9 / 9783030217259 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich