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

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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