Biomedical Engineering Systems and Technologies: 12th International Joint Conference, BIOSTEC 2019, Prague, Czech Republic, February 22–24, 2019, ... in Computer and Information Science, 1211)

✍ Scribed by Ana Roque (editor), Arkadiusz Tomczyk (editor), Elisabetta De Maria (editor), Felix Putze (editor), Roman Moucek (editor), Ana Fred (editor), Hugo Gamboa (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 488
• Category: Library

✦ Synopsis

This book constitutes extended and revised versions of a set of selected papers from the 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019, held in Prague, Czech Republic, in February 2019.

The 22 revised and extended full papers presented were carefully reviewed and selected from a total of 271 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.

✦ Table of Contents

Preface
Organization
Contents
Biomedical Electronics and Devices
Design and Evaluation of the Platform for Weight-Shifting Exercises with Compensatory Forces Monitoring
1 Introduction
2 Design Criteria
3 JStep Rehabilitation Platform
3.1 Sensory Layer
3.2 Visual Feedback Layer
3.3 Sensors’ Calibration
4 Evaluation
4.1 Participants
4.2 Exercises Scenarios
4.3 Data Aggregation
4.4 Results
5 Conclusions and Discussion
References
Reinventing Biomedical Engineering Education Working Towards the 2030 Agenda for Sustainable Development
1 Introduction
2 Project-Based Learning and Biomedical Devices
2.1 Introduction
2.2 Planning the Learning Objectives
2.3 Establishing the Context: PBL and Service Learning
2.4 Defining Contents and Boundaries
2.5 Implementing and Assessing
3 BME Courses Focused on Engineering Medical Devices
4 BME Programmes Based on Engineering Medical Devices
5 Connecting BME Courses and Programmes with the SDGs
6 Towards “BME education for all” in Connection with the SDGs: The UBORA Open Source & Collaborative Model
6.1 The UBORA Project, e-Infrastructure and Community and the SDGs
6.2 Open Source Medical Devices
6.3 UBORA: Much More Than a “Wikipedia” of Biodevices
6.4 Arranging and Training a Global Community Focused on OSMDs
6.5 Some Cases of Success
7 Future Perspectives
7.1 Main Potentials
7.2 Key Challenges
8 Conclusions
References
Magnetic Three-Dimensional Control System for Micro Robots
1 Introduction
2 Working Area for the Simulation
2.1 Subarachnoid Region of the Human Head
2.2 Pancreas Region of the Human Body
3 Brief Description of the Magnetic Navigation
4 Description of the Coils Used in Current Analysis
4.1 Description of Maxwell Coils
4.2 Description of Helmholtz Coils
5 Mathematical Model Used to Calculate Currents
5.1 Explanation of the Mathematical Method Used to Calculate the Currents in Helmholtz and Maxwell
6 Anthropometry Related to the Project
7 Results
8 Analysis of the Responses of the Currents to the Change in the Magnetic Field
9 Conclusions
References
Features of Using Nonlinear Dynamics Method in Electrical Impedance Signals Analysis of the Ocular Blood Flow
1 Introduction
2 Materials and Methods
3 Compliance with Ethical Requirements
4 Results
5 Conclusions
References
Analogue Fluids for Cell Deformability Studies in Microfluidic Devices
1 Introduction
2 Experimental Procedure
2.1 Preparation and Characterization of the Analogue Fluids
2.2 Characterization of Particles Sizes Distribution Using Laser Scanning Fluorescent Confocal Microscopy
2.3 Characterization of Particles Deformability and Flow Dynamic Behaviour of the Analogue Fluids
2.4 Evaluation of the Response of the Analogue Fluids to Electrostatic Actuation
3 Results
3.1 Particle Size Distribution in the Analogue Fluids
3.2 Flow Behavior and Deformability of the Particles in the Analogue Fluids
3.3 Electrostatic Response of the Analogue Fluids
4 Final Remarks
References
Bioimaging
Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks
1 Introduction
2 Related Works
2.1 Pathology Image Classification
2.2 Deep Learning in Image Classification
2.3 Issues and Challenges
3 Proposed Method
3.1 Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology
3.2 Transfer of Pathological Knowledge Based on Human Observation
3.3 Transfer of Pathological Knowledge Based on Automatic Measurement
3.4 Stepwise Transfer of Multiple Domain Knowledge
4 Experiments and Discussions
4.1 Data
4.2 Results and Discussions
5 Conclusions
References
Simultaneous Segmentation of Retinal OCT Images Using Level Set
1 Introduction
2 Segmentation of OCT Images
2.1 Pre-processing
2.2 Boundary Initialisation
2.3 Boundary Evolution
2.4 Boundary Topology Constrains
3 Results and Discussions
4 Conclusions
References
Bioinformatics Models, Methods and Algorithms
Machine Learning and Combinatorial Optimization to Detect Gene-gene Interactions in Genome-wide Real Data: Looking Through the Prism of Four Methods and Two Protocols
1 Introduction
2 A Brief State-of-the-Art in the Computational Landscape of Gene-gene Interactions
2.1 Exhaustive Approaches
2.2 Dimension Reduction Upstream of Epistasis Detection
2.3 Sampling from Probability Distributions
2.4 Machine Learning Techniques
2.5 Combinatorial Optimization Approaches
3 Motivations and Contributions of Our Study
4 The Approaches Selected for the Extensive Comparison
5 Extensive Experimentation Framework
5.1 Experimental Road Map
5.2 Real-World Datasets
5.3 Implementation of the Two Comparative Analyses
6 Results and Discussion
6.1 Computational Running Times and Memory Occupancies
6.2 Interactions of Interest
6.3 Interactions of Interest Jointly Identified by Several Approaches
6.4 Networks of Interactions of Interest
6.5 Discussion
7 Conclusion and Further Work
References
The Properties of the Standard Genetic Code and Its Selected Alternatives in Terms of the Optimal Graph Partition
1 Introduction
2 Preliminaries
2.1 Model Description
2.2 The Clustering Algorithm
3 Results and Discussion
4 Conclusions
References
Characteristic Topological Features of Promoter Capture Hi-C Interaction Networks
1 Introduction
2 Datasets and Graph Representations of PCHi-C Networks
3 Characterisation of Structural Features of Interaction Networks
3.1 Distances Between Cell Types
3.2 Metrics for Characterisation of Structural Features of Networks
4 Discriminatory Power of Metrics Between Different Cell Types
5 Component Structure of PCHi-C Interaction Networks
6 Assessment of Biological Significance of Network Components
7 Conclusions
8 Software Availability
References
Generating Reliable Genome Assemblies of Intestinal Protozoans from Clinical Samples for the Purpose of Biomarker Discovery
1 Introduction
2 Sequencing and Assembly Issues in Gastrointestinal Parasitic Protozoans
3 Whole Genome Sequence Datasets Available for Analysis
4 Sequencing and Read Analysis Methodology
4.1 Raw Read Analysis
4.2 Gini-Granularity Curves
4.3 DNA Enrichment Using Whole Genome Amplification
4.4 Sequencing Bias Analysis in WGA Datasets
5 Assembly and Post-assembly Improvement Methodology
5.1 De novo Assembly
5.2 Post Assembly Improvement
5.3 Analysis of Draft Genomes
5.4 Identification of Misassembly
5.5 Quality Assessment with Gini
5.6 Data Visualisation
6 Results and Discussion for Sequencing and Read Analysis
7 Results and Discussion for Assembly and Post-assembly Processing
8 Conclusion
References
Analysis of Discrete Models for Ecosystem Ecology
1 Introduction
2 Ecosystems, Syntax and Semantics
3 Static Analysis
3.1 Immutable Entities
3.2 Correlations
3.3 Cascading
3.4 Spontaneous Production
4 Similarity Between Ecosystems
5 Experiment: Searching Patterns into Models of Ecosystems
5.1 Benchmark
6 Concluding Remarks and Related Works
6.1 Related Work
References
Application of Data Mining and Machine Learning in Microwave Radiometry (MWR)
1 Introduction
2 Microwave Radiometry for Breast Cancer Detection
3 Preprocessing
3.1 Ambient Temperature Normalization
3.2 Class Balancing Through Oversampling
4 Model Evaluations
4.1 Non-neural Network Models
4.2 Rule Based Classification
4.3 Neural Network Models
5 Model Interpretation
6 Conclusions and Future Work
References
Bio-inspired Systems and Signal Processing
Special Techniques in Applying Continuous Wavelet Transform to Non-stationary Signals of Heart Rate Variability
1 Introduction
2 Methods
2.1 Mathematical Model of Non-stationary Signal
2.2 Continuous Wavelet Transform
2.3 Wavelet Analysis of Mathematical Model of Non-stationary Signal
3 Results
3.1 Boundary Effects in the Analysis of Spectral Properties
3.2 STS Algorithm in the Analysis of Heart Tachogram
4 Conclusion
References
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
1 Introduction
2 Materials and Methods
2.1 Datasets
2.2 Pre-processing
2.3 Network Architectures
2.4 Data Augmentation
2.5 Training
3 Results
4 Discussion
5 Conclusion
References
Heart Rate Variability and Electrodermal Activity Biosignal Processing: Predicting the Autonomous Nervous System Response in Mental Stress
1 Introduction
2 Materials and Protocol
2.1 Study Population
2.2 Materials
2.3 Protocol
3 Data Processing
3.1 Heart Rate Variability
3.2 Electrodermal Activity
3.3 Statistical Analysis
3.4 Machine-Learning
4 Results
4.1 EDA
4.2 HRV
4.3 SVM
4.4 Linear Regression
4.5 Random Forest Classifier
5 Discussion
References
ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification
1 Introduction
2 Related Work
3 ECGpp Framework
3.1 Pre-processing
3.2 Learning Signal Representation
3.3 Predictive Analysis
3.4 Selecting the Pre-processing Configuration
4 Results and Discussion
4.1 Data
4.2 Experiments
5 Conclusions
References
Health Informatics
Investigating User’s Preference for Anthropomorphism of a Social Robot Trainer in Physical Rehabilitation
1 Introduction
2 Research Questions
3 Study 1
3.1 Material
3.2 Measurements and Procedure
3.3 Participants
3.4 Results
4 Study 2
4.1 Methods
4.2 Results
5 Findings
5.1 General Attitude Towards Socially Assistive Robots
5.2 Acceptance of SAR in Rehabilitation Therapy and as Robot Trainer
5.3 Patients’ Preference for Anthropomorphic Appearance
6 Conclusion
References
Dementia and mHealth: On the Way to GDPR Compliance
1 Introduction
2 Related Work
2.1 Ageing, Cognitive Decline and Mild Cognitive Impairment
2.2 Computer-Assisted Cognitive Training for Older Adults with MCI
2.3 Online Security and Privacy
2.4 Design and Security Requirements
2.5 General Data Protection Regulation (GDPR) Guidelines
3 Methods
4 Use-Case
4.1 Persona Description
4.2 Proposal of SoTRAACE and GDPR Compliant Mobile Application Mockups
5 Discussion
6 Conclusion
References
Comparison of Texture Features and Color Characteristics of Digital Drawings in Cognitive Healthy Subjects and Patients with Amnestic Mild Cognitive Impairment or Early Alzheimer’s Dementia
1 Introduction
2 Methods
2.1 Study Subjects
2.2 Digital Test Procedure and Device
2.3 Image Characteristics
2.4 Statistical Analysis
3 Results
3.1 Analysis of Color Variables
3.2 Analysis of Texture Characteristics from the GLCM
3.3 ROC-Curve Analysis
4 Conclusions
References
Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification
1 Introduction
2 Literature Review and Related Works
3 Research Process and Methodology
4 Standardisation of Caremaps: Exemplar for Standardising CCPS
5 Approach and Method for Standardising the Model and Notation for Caremap Specifications
6 TaSC: Proposed Standard for Caremaps
7 Evaluation: A Study Using TaSC to Develop and Specify Caremaps in a Standardised Way
8 Summary and Conclusions
References
Towards a More Reproducible Biomedical Research Environment: Endorsement and Adoption of the FAIR Principles
1 Introduction
2 FAIR Guiding Principles
3 Biomedical and Life-Science FAIRness
4 FAIRness into Practice
4.1 FAIR Metrics
4.2 FAIR Use Case: Biomedical Discovery Platforms
5 Discussion
6 Conclusions
References
Author Index