Biomedical Engineering Systems and Technologies: 14th International Joint Conference, BIOSTEC 2021 Virtual Event, February 11–13, 2021 Revised Selected Papers

✍ Scribed by Claudine Gehin, Bruno Wacogne, Alexandre Douplik, Ronny Lorenz, Bethany Bracken, Cátia Pesquita, Ana Fred, Hugo Gamboa

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 277
• Series: Communications in Computer and Information Science, 1710
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, held virtually due to the COVID-19 crisis, in February 2021. The conference was held virtually due to the COVID-19 crisis.
The 13 full papers included in this book were carefully reviewed and selected from 265 submissions. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on Biomedical Engineering Systems and Technologies, including: Pattern Recognition and Machine Learning, Application of Health Informatics in Clinical Cases, Evaluation and Use of Healthcare IT, Medical Signal Acquisition, Analysis and Processing, Data Mining and Data Analysis, Decision Support Systems, e-Health, e-Health Applications, Mobile Technologies for Healthcare Applications and Medical Devices design.

✦ Table of Contents

Preface
Organization
Contents
Systematic Design Procedure of CMOS Microelectrode-Arrays Based on Analog Signal Processing Noise Figure
1 Introduction
2 CMOS MEAs
3 Noise Figure and Noise Contributions in CMOS MEAs
3.1 Noise Power at the Electrolyte-Electrode Interface
3.2 TDM Noise
4 Noise Figure Based Design Procedure of CMOS MEAs
5 Conclusions
References
LigityScore: A CNN-Based Method for Binding Affinity Predictions
1 Introduction
2 LigityScore Overview
3 Dataset
4 LigityScore Implementation
4.1 Feature Generation
4.2 Feature Representation of Molecular Complex
4.3 CNN Architecture
5 Results and Evaluation
6 Conclusion and Discussion
References
Chaotic Changes in Fingertip Pulse Waves and Psychological Effects of Reminiscence Therapy Intervention
1 Introduction
1.1 Reminiscence Therapy
1.2 The Chaos of Fingertip Pulse Waves
1.3 Purpose
2 Methods
2.1 Materials
2.2 Equipment
2.3 Procedures
2.4 Ethical Considerations
3 Results
3.1 Mean LLE Changes in the Two Groups
3.2 Changes in the Psychological Indices of the Two Groups
3.3 Discriminant Analysis
3.4 LLE Changes Depending on the Easiness of Recalling Childhood Memories
3.5 Changes in the Attractor
4 Discussion
4.1 Childhood Memories and the Effects of Memory Retrieval
4.2 Future Perspectives
References
Determination of Charge Transfer Resistance from Randles Circuit Spectra Using Elliptical Fitting
1 Introduction
2 Materials and Methods
2.1 Simulation of Electrochemical Impedance Spectroscopy Data
2.2 Evaluation with Real Data of a Cortisol-Sensitive IMFET
2.3 Complex Nonlinear Least-Squares Regression
2.4 Elliptical Fitting
3 Results
3.1 Simulated Data
3.2 Measured Real Data
4 Discussion and Outlook
References
Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios
1 Introduction
1.1 Work Related Disorders and Risk Evaluation
1.2 Motivation
1.3 Towards Occupational Data Segmentation
2 Related Work
3 Dataset Description
3.1 Population
3.2 Instruments and Setup
4 Methods
4.1 SSM Construction
4.2 Similarity Function
4.3 Novelty Function
4.4 Sub-sequences Searched-by-example
4.5 Illustrative Example
5 Results and Discussion
5.1 Active Working Periods Segmentation
5.2 Working Cycles Segmentation
5.3 Towards Multi Time-Scale Segmentation
5.4 Labeling with Query-by-example
6 Conclusions
References
Evaluating the Performance of Diadochokinetic Tests in Characterizing Parkinson's Disease Hypokinetic Dysarthria
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusions
References
Technology-Based Education and Training System for Nursing Professionals
1 Introduction
1.1 Demographic Background
1.2 Sensor System Conceptualization
1.3 Related Work
2 Methods
2.1 The Sensor System
2.2 Experimental Design
3 Results
3.1 Duration of Feedback Rounds
3.2 Keywords in Feedback Rounds
3.3 Amount of Criticized Aspects
3.4 Comparison of Information Content
3.5 Feedback by Additional Sensors Systems
4 Discussion
References
Evaluation of Algorithms to Measure a Psychophysical Threshold Using Digital Applications*-6pt
1 Introduction
2 Algorithms
2.1 STRICTN
2.2 BESTN
2.3 PEST
2.4 PESTN
3 Simulation Protocol
4 Analysis of the Results
5 Discussion
6 Related Work
7 Conclusion
References
Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization
1 Introduction
2 Related Work
3 Macroscopic Image Acquisition Pipeline
3.1 Datasets
3.2 Preview and Acquired Image Focus Assessment
3.3 Lesion Segmentation
4 Mobile Application
5 Results and Discussion
5.1 Macroscopic Image Acquisition Pipeline Results
5.2 Trial Results
6 Conclusion and Future Work
References
Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder
1 Introduction
2 Background
2.1 Attention-Deficit/Hyperactivity Disorder
2.2 Features Selection with Genetic Algorithm
2.3 Interpretability
3 Related Works
4 Materials and Methods
4.1 Description of the Database
4.2 Pre-processing
4.3 Dimensionality Reduction with Genetic Algorithm, Random Forest, and Specialist
4.4 Description of Methods
4.5 Model Quality Assessment Metrics
5 Results and Discussions
5.1 VTJ48 Rules and Interpretability Using SHAP
6 Final Considerations
References
Requirements for Implementing Digital Health Terminology Standards in Uganda’s Electronic Medical Records-Based Health Information Systems
1 Introduction
2 Methodology
2.1 Study Design
2.2 Study Respondents
2.3 Data Collection and Analysis
2.4 Ethical Clearance
3 Findings
3.1 Functional Requirements for Implementing Digital Health Terminology Services
3.2 Non-functional Requirements for Implementing Digital Health Terminology Services
4 Discussion
4.1 Mapping Healthcare Business Processes
4.2 Developing Terminology Services
4.3 Governance Structures
4.4 Capacity Building
5 Conclusion
References
Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning
1 Introduction
2 Background and Related Work
2.1 The Arrhythmia Conditions
2.2 Automatic Detection of Arrhythmia Conditions
2.3 Detection in the Compressed Domain
2.4 The Compressed Sensing Algorithm
3 Automatically Detecting Arrhythmia Conditions
3.1 ECG Digital Processing
3.2 Heartbeat Features
3.3 Beat Classification
4 The Study
4.1 Study Design
4.2 Study Results
5 Conclusion and Future Work
References
DL-Assisted ROP Screening Technique
1 Introduction
2 Literature Review and Related Work
3 Methodology
3.1 Neonatal Retinal Scanning
3.2 Data Preparation
3.3 Noise Reduction and Image Pre-processing
3.4 OD Detection
3.5 Vessels Extraction
3.6 ROP Classification
4 Experimental Setup and Results
4.1 Evaluation Metrics
4.2 Pre-processing of Fundus Image
4.3 OD Segmentation
4.4 Vessels Segmentation
4.5 ROP Zoning
5 Conclusions
References
Author Index