Bioinformatics and Biomedical Engineering: 9th International Work-Conference, IWBBIO 2022 Maspalomas, Gran Canaria, Spain, June 27–30, 2022 Proceedings, Part I

Preface
Organization
Contents – Part I
Contents – Part II
Biomedical Computing
Calculation of DNA Strand Breaks by Types of Electron Interaction with Monte Carlo Simulation
	1 Introduction
	2 Materials and Methods
	3 Results
	4 Discussion
	5 Conclusion
	References
Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites
	1 Introduction
	2 Materials and Methods
		2.1 Dataset
		2.2 Methods
	3 Results
		3.1 Metabolomic Prediction Using LASSO Regression
		3.2 Metabolomic Prediction Using Ridge Regression
		3.3 Metabolomic Prediction Using BGLR
	4 Discussion
	5 Conclusion
	References
Modelling of Arbitrary Shaped Channels and Obstacles by Distance Function
	1 Introduction
	2 Numerical Concept of a Boundary
		2.1 Interaction Between Boundaries and Immersed Particles
	3 Algorithm for Boundary Definition
		3.1 Helix as Boundary
		3.2 Generic Boundary
		3.3 ESPResSo Specific Files to Create or to Modify
	4 Verification of the Proposed Solution
		4.1 Comparison of Fluid Flow
		4.2 Comparison of Trajectories
		4.3 Comparison of Computation Time
	5 Conclusion
	References
Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project
	References
The Role of Astrocytes in Alzheimer's Disease Progression
	1 Introduction
	2 Models for AD
		2.1 Network Model for the Brain Connectome
		2.2 Homogeneous System for the Network Model
	3 Results and Discussions
		3.1 Focussing on the Dynamics of AD Propagation
		3.2 AD Propagation in the Brain Connectome
	4 Conclusions
	References
Effects of Random Inputs and Short-Term Synaptic Plasticity in a LIF Conductance Model for Working Memory Applications
	1 Introduction
	2 Synaptic Conductance Model Description
		2.1 LIF Synaptic Conductance Dynamics
		2.2 Firing Rate and Spike Time Irregularity
	3 Numerical Results for the LIF Synaptic Conductance Model
	4 Conclusions
	References
Biomedical Engineering
Thermal Effects of Manual Therapy in Low Back Pain: A Pilot Study
	1 Introduction
	2 Material and Methods
		2.1 Subjects
		2.2 Technological and Environmental Factors
		2.3 Taking of Thermal Images
		2.4 Manual Therapy Application
		2.5 Data Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Bone Health Parameters in Young Adult Female Handball Players
	1 Introduction
	2 Material and Methods
		2.1 Subjects and Study Design
		2.2 Anthropometrics
		2.3 Bone Measurements
		2.4 Procedures of Physical Performance Tests
		2.5 Sprinting Performance
		2.6 Jumping Performance
		2.7 Maximal Strength Measurements
		2.8 Questionnaires
	3 Results
		3.1 Clinical Characteristics and Bone Data of the Study Population
		3.2 Physical Performance Variables of the Study Population
		3.3 Correlations Between Clinical Variables and Bone Variables Characteristics of the Study Population
		3.4 Correlations Between Physical Performance Variables and Bone Characteristics of the Study Population
	4 Discussion
	5 Conclusion
	References
Adaptative Modelling of the Corneal Architecture in a Free-of-Stress State in Incipient Keratoconus
	1 Introduction
	2 Materials and Methods
		2.1 Participants
		2.2 Anisotropic Properties of the Cornea
		2.3 Material Parameters
		2.4 Meshing
		2.5 Displacement Method
		2.6 Pre-stress Method
		2.7 Statistical Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Design of an Analysis Method for the Human Cornea’s Bilateral Symmetry. A Case-Study in Healthy Patients
	1 Introduction
	2 Materials and Methods
		2.1 Participants
		2.2 Data Acquisition
		2.3 Methods
		2.4 Statistical Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Biomedical Signal Analysis
Automated TTC Image-Based Analysis of Mouse Brain Lesions
	1 Introduction
	2 Methodology Overview
		2.1 Preprocessing and Background Segmentation
		2.2 TTC Atlas Construction
		2.3 Atlas-Based Abnormality Detection
		2.4 Lesion Segmentation Based on Machine Learning (ML)
	3 Results and Conclusions
	References
PET-Neuroimaging and Neuropsychological Study for Early Cognitive Impairment in Parkinson’s Disease
	1 Introduction
	2 Methods
	3 Outcomes
	4 Discussion
	5 Conclusion
	References
Architecture and Calibration of a Multi-channel Electrical Impedance Myographer
	1 Introduction
	2 Background
	3 Proposed Architecture
		3.1 Overview
		3.2 Acquisition Channels
		3.3 Analog-to-Digital Converter
		3.4 Current Source
	4 Testing Protocols
		4.1 Sample Rate Performance Test
		4.2 Excitation Frequency Performance Test
		4.3 Impedance Accuracy Test
	5 Discussion and Conclusion
	A  Quadrature Demodulation Algorithm
	References
Biomedicine. New Advances and Applications
Advanced Incremental Attribute Learning Clustering Algorithm for Medical and Healthcare Applications
	1 Introduction
	2 K-Prototypes Algorithm and Related Works
		2.1 Theoretical Concepts of K-Prototypes Algorithm
		2.2 Related Works
	3 Proposed Approach
		3.1 Definition and Approach Presentation
		3.2 Merge Procedure
	4 Simulation Experiments and Performance Analysis
		4.1 Simulation Environment
		4.2 Evaluation Measures
		4.3 Results Analysis and Discussion
	5 Conclusion
	References
Assessment of Inflammation in Non-calcified Artery Plaques with Dynamic 18F-FDG-PET/CT: CT Alone, Does-It Detect the Vulnerable Plaque?
	1 Introduction
	2 Methods
		2.1 Study Design and Population
		2.2 Analysis of CT Images
		2.3 Analysis of PET Images
		2.4 Statistical Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Comparative Analysis of the Spatial Structure Chloroplasts and Cyanobacteria Photosynthetic Systems I and II Genes
	1 Introduction
	2 Materials and Methods
		2.1 Frequency Dictionary
		2.2 Genetic Material
		2.3 Clustering Methods
	3 Results
	4 Conclusion
	References
Unsupervised Classification of Some Bacteria with 16S RNA Genes
	1 Introduction
	2 Materials and Methods
		2.1 Genetic Material
		2.2 Triplet Frequency Dictionary
		2.3 Clustering and Visualization
	3 Results and Discussion
	4 Conclusion
	References
Modern Approaches to Cancer Treatment
	1 Cancer – The Hidden Pandemic
	2 The G-quadruplexes: Characteristics and Properties
	3 The G4 Motifs as Targets in Anticancer Therapy
	4 Conclusions
	Websites:
	References
A Service for Flexible Management and Analysis of Heterogeneous Clinical Data
	1 Introduction
	2 System Architecture
		2.1 Data Collection
		2.2 Gene Expression Data Mapping
		2.3 Gene Expression Pre-processing
		2.4 Gene Regulatory Network Inference Analysis
		2.5 Gene Regulatory Network Inference Visualization
	3 Use Cases
		3.1 Use Case: Gene Regulatory Network
	4 Conclusion
	References
Biosensors and Data Acquisition
Reconfigurable Arduino Shield for Biosignal Acquisition
	1 Introduction
		1.1 Summary of Contributions
	2 Materials and Methods
		2.1 Arduino Timers
		2.2 Clock Selection Function
		2.3 Library for Arduino
		2.4 Printed Circuit Board
	3 Results
		3.1 Clock Test
		3.2 Filter Implementation Test
		3.3 ECG Acquisition Circuit Test
	4 Conclusion
	References
Smart Watch for Smart Health Monitoring: A Literature Review
	1 Introduction
		1.1 Background
		1.2 Objectives
	2 Selection Method
		2.1 Literature Search
		2.2 Selection Criteria
	3 Result
	4 Discussion
	5 Conclusion
	References
Data Quality Enhancement for Machine Learning on Wearable ECGs
	1 Introduction
	2 Methods
		2.1 Data Acquisition and Understanding
		2.2 Modeling
	3 Results and Discussion
		3.1 R-Peak Detection Performance Benchmark
		3.2 Noise Stress Test of Global Filters
		3.3 Signal Quality Assessment and the Local Noise Filter
	4 Conclusion and Future Work
	References
Image Visualization and Signal Analysis in Biomedical Applications
Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study
	1 Thyroid Gland, Its Role and Using Sonography in Endocrinology
	2 Input Image Data
	3 Echo-Index Principle and Computation
	4 Analysis of Echo-Index Reproducibility and Changing According to Tumor Type
		4.1 General Reproducibility Assessment
		4.2 Differences Between Malignant and Benign Tumor
		4.3 Known Limitations
		4.4 A Tumor Rule-Based Classifier and Automatic ROI Detection
	5 Conclusions and Future Studies
	References
Initial Prototype of Low-Cost Stool Monitoring System for Early Detection of Diseases
	1 Introduction
	2 Related Works
		2.1 Gas and Temperature Sensor Devices for Early Detection of Diseases
		2.2 Low-Cost Monitoring Systems for Prevention or Diagnosis of Diseases
	3 Architecture of the System
		3.1 Data Transmission
		3.2 Data Serialisation
	4 Information Processing
		4.1 Data Collection
		4.2 Database
		4.3 Data Visualisation as Decision Support for Detection
	5 Conclusions
	References
Cerebral Activation in Subjects with Developmental Coordination Disorder: A Pilot Study with PET Imaging
	1 Introduction
	2 Materials and Methods
		2.1 Participants
		2.2 Experimental Procedures
		2.3 Data Analysis
		2.4 Statistics
	3 Results
	4 Discussion
	5 Conclusions
	References
On the Use of Explainable Artificial Intelligence for the Differential Diagnosis of Pigmented Skin Lesions
	1 Introduction
	2 Preliminaries
	3 Methodology
		3.1 Evaluation
		3.2 Evaluation of LIME
		3.3 Evaluation of SHAP
		3.4 Computational Effort
	4 Conclusion
	References
Estimating Frontal Body Landmarks from Thermal Sensors Using Residual Neural Networks
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 IoT Device with Dual-Vision Thermal and Visible-Spectrum Sensors
		3.2 OpenPose Auto-Labelling, Homography Calibration, Data Augmentation and Data Pre-processing
		3.3 Residual Neural Network Configuration
	4 Case Study
	5 Conclusions, Limitations and Ongoing Work
	References
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy
	1 Introduction
	2 Materials and Methods
	3 Exploratory Pre-processing
		3.1 Retinography
		3.2 OCT
		3.3 OCTA
	4 Learning Unsupervised Part-Based Representations
		4.1 Feature Selection and Classifier Training
	5 Results and Discussion
		5.1 Useful Sources Learnt
		5.2 Classification Results
	6 Summary and Conclusion
	References
Radiomic-Based Lung Nodule Classification in Low-Dose Computed Tomography
	1 Introduction
	2 Materials and Methods
	3 Methods
	4 Results
	5 Conclusions
	References
Segmentation of Brain MR Images Using Quantum Inspired Firefly Algorithm with Mutation
	1 Introduction
	2 Related Works
	3 Preliminaries of Quantum Computing and Firefly Algorithm
		3.1 The Firefly Algorithm (FA)
	4 Quantum Inspired Firefly Algorithm with Quantum Mutation (QIFAM)
	5 Experimental Setup
	6 Results and Analysis
	7 Conclusion
	References
Computational Support for Clinical Decisions
Single-Channel EEG Detection of REM Sleep Behaviour Disorder: The Influence of REM and Slow Wave Sleep
	1 Introduction
	2 Materials and Methods
		2.1 Subjects and Data
		2.2 Data Pre-processing
		2.3 Feature Extraction
		2.4 Data Post-processing and Feature Sets
		2.5 Feature Selection
		2.6 Classification
	3 Results
		3.1 Classification Performance: REM Features
		3.2 Classification Performance: REM + SWS Features
		3.3 Classification Performance: SWS Features
	4 Discussion
	5 Conclusion and Future Work
	References
A Deep Learning Framework for the Prediction of Conversion to Alzheimer Disease
	1 Introduction
		1.1 Alzheimer Disease
	2 Materials and Methods
		2.1 The ADNI Dataset
		2.2 State-of-the-Art
		2.3 ADNI Analysis
		2.4 Selection Criteria and Data-Set Creation
		2.5 Data for the Deep Learning Framework Training
		2.6 The Deep Learning Architecture
	3 Discussion and Conclusions
	References
Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite
	1 Introduction
	2 RNA-Seq Workflow Tools for Different Languages and Platforms
		2.1 Non Web Platform Based Pipelines
		2.2 Web Platform Based Pipelines
	3 Proposed Architecture Web KnowSeq
		3.1 Using the Shiny Package
		3.2 Using a Framework Stack
	4 Conclusions
	References
COVID-19. Bioinformatics and Biomedicine
Optimal Chair Location Through a Maximum Diversity Problem Genetic Algorithm Optimization
	1 Introduction
	2 Problem Definition
	3 GA Implementation
	4 Results
	5 Conclusions
	References
Collecting SARS-CoV-2 Encoded miRNAs via Text Mining
	1 Introduction
	2 The Need for a SARS-CoV-2 miRNA Collection
	3 Text Mining on Literature Servers
	4 Results of the Text Mining Runs
	5 Limitations and Outlook on Text Mining in Research Questions
	6 Availability
	References
COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model
	1 Introduction
	2 Process Description
	3 Material and Methods
		3.1 Dataset
		3.2 Methods
	4 Results
		4.1 COVID-19 Prediction Results
		4.2 Results of the Estimation of the Percentage of Infection in the Lungs
		4.3 Results of Classify a Patient Within Different Degrees of Severity
	5 Conclusion
	References
The Role of Information Sources, Trust in Information Sources, and COVID-19 Conspiracy Theory in the Compliance with COVID-19 Related Measures
	1 Introduction
	2 Method
	3 Results
	4 Conclusions
	References
Author Index