Biomedical engineering systems and technologies : 14th International Joint Conference, BIOSTEC 2021, Virtual event, February 11-13, 2021, revised selected papers / Claudine Gehin [and seven others] (editors).

Format
Book
Language
English
Published/​Created
  • Cham, Switzerland : Springer, [2022]
  • ©2022
Description
1 online resource (277 pages)

Details

Subject(s)
Editor
Series
  • Communications in computer and information science ; Volume 1710. [More in this series]
  • Communications in Computer and Information Science Series ; Volume 1710
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on print version record.
Contents
  • Intro
  • 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
  • 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
  • Chaotic Changes in Fingertip Pulse Waves and Psychological Effects of Reminiscence Therapy Intervention
  • 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
  • Determination of Charge Transfer Resistance from Randles Circuit Spectra Using Elliptical Fitting
  • 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
  • 3.1 Simulated Data
  • 3.2 Measured Real Data
  • 4 Discussion and Outlook
  • References.
  • Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios
  • 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
  • Evaluating the Performance of Diadochokinetic Tests in Characterizing Parkinson's Disease Hypokinetic Dysarthria
  • Technology-Based Education and Training System for Nursing Professionals
  • 1.1 Demographic Background
  • 1.2 Sensor System Conceptualization
  • 1.3 Related Work
  • 2.1 The Sensor System
  • 2.2 Experimental Design
  • 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
  • Evaluation of Algorithms to Measure a Psychophysical Threshold Using Digital Applications*-6pt
  • 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
  • Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization
  • 3 Macroscopic Image Acquisition Pipeline.
  • 3.1 Datasets
  • 3.2 Preview and Acquired Image Focus Assessment
  • 3.3 Lesion Segmentation
  • 4 Mobile Application
  • 5.1 Macroscopic Image Acquisition Pipeline Results
  • 5.2 Trial Results
  • 6 Conclusion and Future Work
  • Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder
  • 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
  • Requirements for Implementing Digital Health Terminology Standards in Uganda's Electronic Medical Records-Based Health Information Systems
  • 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
  • 4.1 Mapping Healthcare Business Processes
  • 4.2 Developing Terminology Services
  • 4.3 Governance Structures
  • 4.4 Capacity Building
  • 5 Conclusion
  • Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning
  • 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
  • DL-Assisted ROP Screening Technique
  • 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
  • Author Index.
ISBN
3-031-20664-9
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