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Biomedical Engineering and Computational Intelligence

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Cover of 'Biomedical Engineering and Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Bioinspired Approach to Inverse Kinematic Problem
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    Chapter 2 Assessment of Two Musculoskeletal Models in Children with Crouch Gait
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    Chapter 3 Low-Complexity Classification Algorithm to Identify Drivers’ Stress Using Electrodermal Activity (EDA) Measurements
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    Chapter 4 3D Model of Blood Flow for Magnetohydrodynamic Study
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    Chapter 5 Nonlinear Autoregressive Model Design and Optimization Based on ANN for the Prediction of Chaotic Patterns in EEG Time Series
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    Chapter 6 Using a Coupled MDOF Biodynamic Model to Study the Effect of Curvature of Spine on Lumbar Spine Compression Under Axial Loads
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    Chapter 7 Applied Logics to Develop Ontology Model of the Complex-Structured Domains: Organic Chemistry and Biochemistry
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    Chapter 8 Analysis of HD-sEMG Signals Using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing
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    Chapter 9 Effect of Reduced Point NIR Spectroscopy on Glucose Prediction Error in Human Blood Tissue
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    Chapter 10 Data Augmentation for Signature Images in Online Verification Systems
Attention for Chapter 3: Low-Complexity Classification Algorithm to Identify Drivers’ Stress Using Electrodermal Activity (EDA) Measurements
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