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|a World Thematic Conference--Biomedical Engineering and Computational Intelligence
|d (2018 :
|c London, England)
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|a Biomedical engineering and computational intelligence :
|b proceedings of the World Thematic Conference--Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /
|c João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi (editors).
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| 264 |
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1 |
|a Cham, Switzerland :
|b Springer,
|c [2020]
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| 300 |
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|a 1 online resource (xiv, 112 pages) :
|b illustrations (some color)
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|a online resource
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|a Lecture notes in computational vision and biomechanics,
|x 2212-9391 ;
|v volume 32
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| 505 |
0 |
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|a 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.
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|a Online resource; title from PDF title page (SpringerLink, viewed September 3, 2019).
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|a 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.
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| 650 |
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|a Biomedical engineering
|v Congresses.
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| 650 |
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|a Artificial intelligence
|x Medical applications
|v Congresses.
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| 650 |
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|a Biomechanics
|v Congresses.
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| 650 |
|
7 |
|a Artificial intelligence
|x Medical applications
|2 fast
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| 650 |
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7 |
|a Biomechanics
|2 fast
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| 650 |
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|a Biomedical engineering
|2 fast
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| 655 |
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|a proceedings (reports)
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| 655 |
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|a Conference papers and proceedings
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| 655 |
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|a Conference papers and proceedings.
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| 655 |
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|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Tavares, João Manuel R. S.,
|e editor.
|1 https://orcid.org/0000-0001-7603-6526
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| 700 |
1 |
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|a Dey, Nilanjan,
|d 1984-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjy7XgvMKFHtDJRt8Dtcbm
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| 700 |
1 |
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|a Joshi, Amit,
|e editor.
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| 758 |
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|i has work:
|a Biomedical engineering and computational intelligence (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH4Tpjxy4q7jyRPyPHgmbb
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 830 |
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|a Lecture notes in computational vision and biomechanics ;
|v v. 32.
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| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-21726-6
|y Click for online access
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|a SPRING-ENGINE2020
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