Information Technology in Biomedicine: 9th International Conference, ITIB 2022 Kamień Śląski, Poland, June 20–22, 2022 Proceedings (Advances in Intelligent Systems and Computing, 1429)

Preface
Contents
Computational Methods for Understanding Human Complexity
Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – A Single Case Study
	1 Introduction
	2 Related Work
	3 Material and Methods
		3.1 SensFloor
		3.2 Classification Methods
		3.3 Preprocessing
		3.4 Feature Extraction
	4 Experiments and Results
		4.1 Results
		4.2 Discussion
	5 Conclusion
	References
Cloud-Based System for Vital Data Recording at Patients\' Home
	1 Introduction
	2 Project Background
	3 System Overview
	4 Patient Frontend
		4.1 Vital Values and Measuring Devices
		4.2 Mobile Operation System iOS: Health Environment and App Implementation
	5 Cloud Environments for Medical Data
		5.1 Amazon Web Services
		5.2 Table Design
	6 Web Frontend
		6.1 User Interface
		6.2 User Roles
	7 Conclusion
	References
Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson\'s Patients
	1 Introduction
	2 Scientific Research Background and Goals of the Tele-BRAIN Project
	3 The Current Status of Parkinson\'s Disease in the Area of Research
	4 EEG Test – Potential Predictive Role in Testing Cognitive Disorders
	5 The Architecture of an Expert System to Assist in the Detection of Cognitive Disorders in Parkinson\'s Disease
	6 Tele-BRAIN-PL System
	7 Summary and Conclusions
	References
EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson\'s Disease
	1 Introduction
	2 Materials and Methods
	3 Results
	4 Discussion
	5 Conclusion
	References
The Role of Two-Dimensional Entropies in IRT-Based Pregnancy Determination Evaluated on the Equine Model
	1 Introduction
	2 Materials and Methods
		2.1 Animals
		2.2 Thermal Images Acquisition
		2.3 Two-Dimensional Entropy Measures
		2.4 Statistical Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Eye-Tracking as a Component of Multimodal Emotion Recognition Systems
	1 Introduction
	2 Emotion Assessment Based on Eye Features
	3 Eye-Tracking Devices Overview
		3.1 Desktop Eye-Trackers
		3.2 Mobile Eye-Trackers
		3.3 Eye-Tracking in AR\"026E30F VR Sets
	4 Multimodal Emotion Recognition Systems Architecture
	5 Conclusion
	References
Sleep Quality in Population Studies – Relationship of BMI and Sleep Quality in Men
	1 Introduction
	2 Participants and Methods
	3 Results and Discussion
	4 Conclusion
	References
Exploring Developmental Factors Related to Auditory Processing Disorder in Children
	1 Introduction
	2 Materials and Methods
	3 Results
	4 Discussion
	5 Conclusion
	References
Morphological Language Features of Anorexia Patients Based on Natural Language Processing
	1 Introduction
	2 The State of the Art
	3 Material and Method
		3.1 Data Ccollection
		3.2 Research and Control Group
		3.3 Text Analysis
		3.4 The Proposed Measurement for Comparing the Data
	4 Results
	5 Discussion and Conclusion
	References
Image Analysis
Comparison of Analytical and Iterative Algorithms for Reconstruction of Microtomographic Phantom Images and Rat Mandibular Scans
	1 Introduction
	2 Methodology
		2.1 Microtomography (CT) Scanning
		2.2 Image Reconstruction
		2.3 Image Quality Assessment
	3 Results
		3.1 Head and Shepp-Logan Phantoms
		3.2 Rat Madibular Angle Scan
	4 Discussion and Conclusion
	References
Comparison of Interpolation Methods for MRI Images Acquired with Different Matrix Sizes
	1 Introduction
	2 Material and Methods
		2.1 Interpolation Methods
		2.2 Used Data
		2.3 Image Scaling
		2.4 Evaluation of Interpolation Methods
	3 Results
		3.1 Excluding Studies
	4 Interpolation Used in Construction of a Cephalometric Image Based on Data from Magnetic Resonance Imaging
	5 Discussion
	References
Preprocessing of Laryngeal Images from High-Speed Videoendoscopy
	1 Introduction
	2 Materials and Methods
		2.1 Participants and LHSV Recordings
		2.2 Software Tools
		2.3 Image Preprocessing
	3 Results
	4 Conclusions
	References
Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data
	1 Objective
	2 State of the Science
	3 Data
	4 Algorithm of Reconstruction
		4.1 Data Preparation
		4.2 Background Segmentation
		4.3 Soft Tissue Segmentation
		4.4 Segmentation of Bone Tissues
		4.5 Cephalometric Image Generation
	5 Results
	6 Discussion
	References
Analysis of Changes in Corneal Structure During Intraocular Pressure Measurement by Air-Puff Method
	1 Introduction
	2 Materials
	3 Methods
		3.1 Extraction of Corneal Cross-Sections from a Sequence of 140 Images
		3.2 Analysis of Corneal Structure Changes in Consecutive Cross-Sections (Real-Time Tracking)
	4 Results
	5 Discussion
	6 Summary
	References
Discrimination Between Stroke and Brain Tumour in CT Images Based on the Texture Analysis
	1 Introduction
	2 Materials and Methods
		2.1 Dataset
		2.2 Methodology
	3 Results
	4 Discussion and Conclusion
	References
The Influence of Textural Features on the Differentiation of Coronary Vessel Wall Lesions Visualized on IVUS Images
	1 Introduction
	2 Materials and Methods
	3 Experimental Results
	4 Disscusion
	References
Computer Aided Analysis of Clock Drawing Test Samples via PACS Plugin
	1 Introduction
	2 Materials and Methods
		2.1 Materials
		2.2 Methods
		2.3 Software Architecture
	3 Results
		3.1 Location of the Manos and Wu Template
		3.2 Manual Evaluation
		3.3 Qualitative Evaluation
	4 Discussion
	References
Study on the Impact of Neural Network Architecture and Region of Interest Selection on the Result of Skin Layer Segmentation in High-Frequency Ultrasound Images
	1 Introduction
		1.1 The Aims of the Study
		1.2 State of Art
	2 Materials and Methods
		2.1 Dataset
		2.2 Deep Neural Network Architectures
		2.3 Region of Interest Selection
		2.4 Augmentation
		2.5 Training
	3 Results and Discussion
	4 Conclusion
	References
Skin Lesion Matching Algorithm for Application in Full Body Imaging Systems
	1 Introduction
	2 Materials and Methods
		2.1 Materials
	3 Results
	4 Discussion and Summary
	References
Artifact Detection on X-ray of Lung with COVID-19 Symptoms
	1 Introduction
		1.1 Radiographic Artifacts
		1.2 Computer-Aided Detection of Artifacts
	2 The Proposed Method for Radiographic Artifact Detection
		2.1 Image Preprocessing and Segmentation of Lung Field
		2.2 Lung Seedpoints Definition and Marging
		2.3 Objects Selection with Shape Features
		2.4 The Optimization of Proposed Method
	3 Method Results
		3.1 Artifacts Delineation
		3.2 Measurement of Artifact Detection Efficiency
		3.3 Experimental Results
	4 Conclusions
	References
Semantic Segmentation of Abnormal Lung Areas on Chest X-rays to Detect COVID-19
	1 Introduction
	2 Lung Segmentation
	3 Method
		3.1 Preprocessing to Improve Segmentation
		3.2 Knowledge-Based Dictionary of Lung Shapes
		3.3 Query Radiogram Approximation
		3.4 Lung Shape Refinement
	4 Experiments
		4.1 Adopted Conditions and Obtained Results
	5 Discussion and Conclusions
	References
Verification of Selected Segmentation Methods in Relation to the Structures of the Knee Joint
	1 Introduction
	2 Methodology
		2.1 Region Growing
		2.2 FCM
		2.3 Fuzzy Connectedness
	3 Discussion and Results
		3.1 Materials
		3.2 Experiments and Evaluation
	4 Conclusions
	References
Rigid and Elastic Registrations Benchmark on Re-stained Histologic Human Ileum Images
	1 Introduction
	2 Materials
	3 Methods
	4 Results
	5 Discussion
	6 Conclusions
	References
DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification
	1 Introduction
	2 Related Work
		2.1 Applications of Deep Learning in Cervical Cell Classification
		2.2 Applications of Deep Learning in Other Image Analysis Tasks
	3 Method
	4 Experiments and Analysis
		4.1 Datasets
		4.2 Experimental Environment
		4.3 Evaluation Methods
		4.4 Experimental Results and Analysis
		4.5 Extended Experiment
	5 Conclusion and Future Work
	References
Image Classification in Breast Histopathology Using Transfer and Ensemble Learning
	1 Introduction
	2 Related Work
	3 Method
		3.1 Transfer Learning
		3.2 Ensemble Learning
	4 Experiments
		4.1 Experimental Settings
		4.2 Deep Learning Algorithm
		4.3 Ensemble Learning
	5 Conclusion and Future Work
	References
PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images
	1 Introduction
	2 Related Work
	3 PIS-Net-Based Yeast Counting Method
		3.1 Image Dataset
		3.2 The Structure of PIS-Net
		3.3 Counting Method
	4 Experiments
		4.1 Experimental Setting
		4.2 Evaluation of Segmentation and Counting Performance
		4.3 Repeatability Tests
		4.4 Computational Time
	5 Conclusion and Future Work
	References
Biomedical Engineering and Physiotherapy, Joint Activities, Common Goals
Analysis of Expert Agreement on Determining the Duration of Writhing Movements in Infants to Develop an Algorithm in OSESEC
	1 Introduction
	2 Material and Methods
		2.1 Research Population
		2.2 Methodology
		2.3 Experts
	3 Results
	4 Discussion
	References
Comparative Analysis of Selected Methods of Identifying the Newborn\'s Skeletal Model
	1 Introduction
	2 Application of Machine Learning Methods
	3 Research Material and Research Methodology
	4 Results
	5 Discussion and Conclusions
	References
Head Pose and Biomedical Signals Analysis in Pain Level Recognition
	1 Introduction
	2 Materials and Methods
		2.1 Data Set
		2.2 Video Analysis for Head Pose Tracking
		2.3 Biomedical Signals Analysis
		2.4 Classification
	3 Results
	4 Discussion
	5 Conclusion
	References
Electromyograph as a Tool for Patient Feedback in the Field of Rehabilitation and Targeted Muscle Training
	1 Introduction
	2 Methods Used
	3 Technical Aspects of EMG and Equipment Requirements
	4 Creating a Measurement Chain
	5 EMG Signal Presentation
	6 Discussion
	7 Conclusion
	References
Touchless Pulse Diagnostics Methods and Devices: A Review
	1 Introduction
	2 Methods of Noninvasive Measurements
		2.1 Photoplethysmography
		2.2 Videoplethysmography
		2.3 Laser Pulse Measurements
		2.4 Radar Measurements
		2.5 Other Non-Electrical Wearable Sensors
	3 Data Analysis Methods
		3.1 Simple Unimodal Scenarios
		3.2 Multimodal Monitoring Systems
	4 Discussion
	References
Methods of Functional Assessment of the Temporomandibular Joints – Systematic Review
	1 Introduction
	2 Research Methods
		2.1 Knowledge Sources and Search Strategy
		2.2 Selection Criteria
		2.3 Data Extraction
	3 Functional Assessment of TMJ – Standard Methods
	4 Functional Assessment of TMJ – New Technologies
	5 Discussion
	6 Conclusion
	References
Sound and Motion
The Effect of Therapeutic Commands on the Teaching of Maintaining Correct Static Posture
	1 Introduction
	2 Materials and Methods
		2.1 Materials
		2.2 Acquisitions Process
		2.3 Data Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Improving the Process of Verifying Employee Potential During Preventive Work Examinations – A Case Study
	1 Introduction
	2 Materials and Methods
		2.1 Aim of the Research
		2.2 Subject
		2.3 Equipment
		2.4 Data Acquisition
		2.5 Data Analysis
		2.6 Psychological Measurement
	3 Results
	4 Discussion
	5 Conclusion
	References
The Microphone Type and Voice Acoustic Parameters Values – A Comparative Study
	1 Introduction
	2 Material and Methods
		2.1 Subjects
		2.2 Preliminary Questionnaire
		2.3 Voice Recording Procedure
		2.4 Acoustic Parameters Analyses
		2.5 Statistical Analysis
	3 Results
		3.1 Descriptive Data
		3.2 Linear Correlation of Acoustic Parameters from Different Microphone Types
		3.3 Differences Between Voice Parameters of Dynamic and Condenser Microphone
	4 Discussion
	5 Conclusion
	References
Signal Processing
Activities Classification Based on IMU Signals
	1 Introduction
	2 Materials and Methods
	3 Results
	4 Discussion
	5 Conclusion
	References
Heart Rate Measurement Based on Embedded Accelerometer in a Smartphone
	1 Introduction
	2 Material and Methods
		2.1 Experimental Group
		2.2 Heart Rate Measurement
		2.3 Mobile App Development
	3 Results
		3.1 Heartbeat Detection Performance
		3.2 Mobile App Tests
	4 Discussion
	References
Non-invasive Measurement of Human Pulse Based on Photographic Images of the Face
	1 Introduction
	2 Materials and Methods
		2.1 Evaluation of the Proposed Method
	3 Results
	4 Discussion
	5 Conclusions
	References
The Validation Concept for Automatic Electroencephalogram Preprocessing
	1 Introduction
	2 Goals and Tasks
	3 Methods
		3.1 Channel Artifact Detection
		3.2 Spatial Filters for Multichannel Analysis
	4 System Architecture
	5 Results
	6 Discussion and Conclusions
	7 Summary
	References
Do Contractions of Abdominal Muscles Bias Parameters Describing Contractile Activities of a Uterus? A Preliminary Study
	1 Introduction
	2 Methods
		2.1 Study Groups
		2.2 Acquisition of Rectus Abdominis EMG Signals
		2.3 Acquisition of EHG Signals of Uterine Contractions
		2.4 EMG Signal Parametrization
	3 Results
	4 Discussion
	5 Limitations of Study
	6 Conclusions
	References
Simulation and Modelling
Finding the Time-Dependent Virus Transmission Intensity via Gradient Method and Adjoint Sensitivity Analysis
	1 Introduction
	2 Problem Formulation
	3 Solution of the Problem with Exemplary Model
		3.1 SEIR Model
		3.2 Infection Data
		3.3 Adjoint Sensitivity Analysis
		3.4 Optimization Procedure
	4 Results
	5 Conclusion
	References
A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling
	1 Introduction
		1.1 Related Work
	2 Materials and Methods
		2.1 Dataset
		2.2 Methods
	3 Results
		3.1 Concept Drift Detection
		3.2 Manual Concept Drift Correction
		3.3 Auto Concept Drift Correction
	4 Discussion
	5 Conclusion
	References
Two-Dimensional vs. Scalar Control of Blood Glucose Level in Diabetic Patients
	1 Introduction
	2 Simulation Model and Control Structures
		2.1 Insulin-Glucose Mathematical Model
		2.2 Control Structures
		2.3 Simulation Details
	3 Results
		3.1 Reference Results
		3.2 Results for Analysed Structures
	4 Conclusions
	References
Gene Expression Analysis of the Bladder Cancer Patients Managed by Radical Cystectomy
	1 Introduction
		1.1 Bladder Cancer
	2 Methodology
		2.1 Dataset
		2.2 Data Analysis
	3 Results and Discussion
		3.1 Statistical Analysis
		3.2 Survival Analysis
		3.3 Analysis of the Differentially Expressed Genes Obtained in the T-Test
		3.4 Analysis of the Differentially Expressed Genes Obtained in ANOVA
	4 Summary and Conclusions
	References
The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate
	1 Introduction
	2 Materials and Methods
	3 Results
		3.1 Surface Observations
		3.2 Wettability
		3.3 Ions Release
		3.4 CFX Rrelease
	4 Discussion
	5 Conclusions
	References
Author Index