Overview
- Reports on cutting-edge intelligent methods applied to biomedical engineering
- Describes intelligent methods for application in disease diagnosis and prediction
- Reports on new ontology models for biology and biochemistry
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 32)
Included in the following conference series:
Conference proceedings info: BIOCOM 2018.
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Table of contents (10 papers)
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Front Matter
Other volumes
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Biomedical Engineering and Computational Intelligence
Keywords
- Musculoskeletal Model
- Gait Modelling
- Inverse Kinematics Problem
- Bioinspired Models
- MHD Interference
- Blood Flow Geometry
- Complex-structured Domain
- Modular Ontology Model
- Robust Evaluation of Motor Function
- High Density sEMG
- HD-sEMG
- Multivariate Model of Human Blood Tissue
- Noninvasive Monitoring of Glucose
- Generating Dynamic Signatures
- Handwritten Signature Verification
- Automatic Classification System
- Skin Potential Response
- Driver’s Stress Detection
- BIOCOM 2018
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Biomedical Engineering and Computational Intelligence
Book Subtitle: Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018
Editors: João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-030-21726-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-21725-9Published: 30 July 2019
Softcover ISBN: 978-3-030-21728-0Published: 15 August 2020
eBook ISBN: 978-3-030-21726-6Published: 29 July 2019
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: XIV, 112
Number of Illustrations: 18 b/w illustrations, 33 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Image Processing and Computer Vision, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design