Biomedical Engineering and Computational Intelligence
Proceedings of The World Thematic Conference-Biomedical Engineering and Computational Intelligence, BIOCOM 2018
1st Edition
Published on 29. July 2019
XIV, 112 pages
978-3-030-21726-6 (ISBN)
Description
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 1 st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30-31, 2018.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIV, 112 p. 51 illus., 33 illus. in color.
File size
4,24 MB
ISBN-13
978-3-030-21726-6 (9783030217266)
DOI
10.1007/978-3-030-21726-6
Schweitzer Classification
Other editions
Additional editions
João Manuel R. S. Tavares | Nilanjan Dey | Amit Joshi
Biomedical Engineering and Computational Intelligence
Proceedings of The World Thematic Conference-Biomedical Engineering and Computational Intelligence, BIOCOM 2018
Book
07/2019
Springer
€106.99
Shipment within 7-9 days
Content
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.
