| Vorliegende Sprache |
eng |
| ISBN |
978-3-030-21725-9 |
| Name |
Tavares, João Manuel R. S. ¬[HerausgeberIn]¬ |
| Dey, Nilanjan ¬[HerausgeberIn]¬ |
| Name ANZEIGE DER KETTE |
Dey, Nilanjan ¬[HerausgeberIn]¬ |
| Name |
Joshi, Amit ¬[HerausgeberIn]¬ |
| T I T E L |
Biomedical Engineering and Computational Intelligence |
| Zusatz zum Titel |
Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 |
| Auflage |
1st ed. 2020 |
| Verlagsort |
Cham |
| Verlag |
Springer |
| Erscheinungsjahr |
2020 |
| 2020 |
| Umfang |
1 Online-Ressource (XIV, 112 p. 51 illus., 33 illus. in color) |
| Reihe |
Lecture Notes in Computational Vision and Biomechanics ; 32 |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-21725-9 |
| ISBN |
ISBN 978-3-030-21726-6 |
| Klassifikation |
TEC009000 |
| MQW |
| MQW |
| TEC059000 |
| 610.28 |
| R856-857 |
| Kurzbeschreibung |
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 |
| 2. Kurzbeschreibung |
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 |
| SWB-Titel-Idn |
1671009509 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttps://doi.org/10.1007/978-3-030-21726-6 |
| Internetseite / Link |
Resolving-System |
| Siehe auch |
Cover |
