Del i serien Lecture Notes in Computational Vision and Biomechanics

Biomedical Engineering and Computational Intelligence

Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018

Inbunden, Engelska, 2019

AvJoão Manuel R. S. Tavares,Nilanjan Dey,Amit Joshi

1 459 kr

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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.

Produktinformation

Utgivningsdatum2019-07-30
Mått155 x 235 x 13 mm
Vikt389 g
FormatInbunden
SpråkEngelska
SerieLecture Notes in Computational Vision and Biomechanics
Antal sidor112
Upplaga19001
FörlagSpringer Nature Switzerland AG
ISBN9783030217259

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Biomedicinsk teknik inom Medicin
Artificiell intelligens inom Data och IT
CAD-program inom Data och IT

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.