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024 7 _a10.1007/978-3-030-21726-6
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072 7 _aTEC059000
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082 0 4 _a610.28
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245 1 0 _aBiomedical Engineering and Computational Intelligence
_h[electronic resource] :
_bProceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018 /
_cedited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 112 p. 51 illus., 33 illus. in color.
_bonline resource.
336 _atext
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_2rdacontent
337 _acomputer
_bc
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338 _aonline resource
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490 1 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9413 ;
_v32
505 0 _aChapter 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.
520 _aThis 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.
650 0 _aBiomedical engineering.
_93292
650 0 _aComputer vision.
_947271
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer-aided engineering.
_914016
650 1 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aComputer Vision.
_947272
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
_931735
700 1 _aTavares, João Manuel R. S.
_eeditor.
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700 1 _aDey, Nilanjan.
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700 1 _aJoshi, Amit.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computational Vision and Biomechanics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-21726-6
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