Biomedical engineering systems and technologies : 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24-26, 2020, Revised selected papers / / Xuesong Ye [and six others], editors

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (xxiv, 612 pages) : illustrations
• Disciplina: 610.28
• Soggetto topico: Biomedical engineering; Bioinformatics
• Persona (resp. second.): YeXuesong
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Biomedical Electronics and Devices -- Uncertainty Modeling and Deep Learning Applied to Food Image Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Food Recognition -- 2.2 Generative Adversarial Network -- 2.3 Uncertainty Modeling -- 3 Uncertainty-Aware GAN-Augmented Food Recognition -- 3.1 Hard Sample Discovery -- 3.2 Image Generation -- 3.3 Final Training -- 4 Validation -- 4.1 Dataset -- 4.2 Metric -- 4.3 Experimental Setup -- 4.4 Results -- 5 Conclusions -- References -- Novel Compact Robotic Flow Control Valve for Bioinspired Exosuit and Other Applications -- Abstract -- 1 Introduction -- 2 Previous Research -- 2.1 Humanoid Walking Robot: Modelling and Mechanics -- 2.2 HWR: Experiment -- 2.3 HWR: Results -- 2.4 Previous Research: Discussion -- 3 CRFC Valve -- 3.1 CRFC Valve: Methods -- 3.2 CRFC Valve: Experiments -- 3.3 CRFC Valve: Results -- 3.4 CRFC Valve: Similar Works -- 3.5 CRFC Valve: Discussion -- 4 Current Development for CRFC Valve Applications -- 4.1 Wearable Exosuit: Objectives -- 4.2 Oxygen Concentrators and Ventilators: Demand Due to Recent Events -- 5 Conclusions -- References -- Towards the Development and Validation of a Smartphone-Based Pupillometer for Neuro-Ophthalmological Diseases Screening -- 1 Introduction -- 2 Methods -- 2.1 Study Participants -- 2.2 Pupillometry System -- 2.3 Data Processing -- 2.4 Chromatic Pupillometry Protocol and Preliminary Experiments -- 3 Results and Discussion -- 3.1 Study Participants -- 3.2 Data Processing Results and Discussion -- 3.3 Preliminary Pupillometry Results -- 4 Conclusion -- References -- Optical Spectroscopy Methods to Monitor Cells and Bacteria Concentrations and to Detect Contamination During Cell Culture: Application to the Fabrication of ATMPs -- Abstract -- 1 Introduction -- 2 Materials and Methods. ; 2.1 Lymphocytes and E. Coli Preparation -- 2.2 Experimental Set-Up -- 2.3 Color Based Analysis of Transmission Spectra -- 2.4 Analysis of Absorption Spectra -- 3 Experimental Results -- 3.1 Measuring Concentrations of Both Species with Colorimetric Description of Transmission Spectra -- 3.2 Measuring Concentrations with the Shapes of the Absorption Spectra -- 3.3 Monitoring Cell Concentrations and Detecting Contaminations: A New Approach -- 4 Discussion -- 4.1 Technical Aspects -- 4.2 Socio-Economic Impacts -- 5 Conclusion -- Acknowledgements -- References -- Non-invasive Optical Methods in Quantitative Minimal Erythema Dose Assessment in Vivo: Comparison of Preclinical and Clinical Data -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Animals and Ultraviolet Irradiation -- 2.2 Volunteers and Ultraviolet Irradiation -- 2.3 Optical Measurements and Data Processing -- 2.4 Morphology and Staining -- 2.5 Statistical Analysis -- 3 Results and Discussion -- 3.1 Preclinical Study -- 3.2 Clinical Study -- 4 Conclusions -- References -- Bioimaging -- Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta -- Abstract -- 1 Introduction -- 2 3-D Imaging of Placentae -- 2.1 Placenta -- 2.2 3-D Imaging -- 3 Deep Learning -- 3.1 ConvNets -- 3.2 U-Nets -- 4 Method -- 5 Single Cell Labelling -- 5.1 Fibroblast -- 5.2 Pericyte -- 6 Multi-cellular Structures -- 6.1 Endothelial Cells -- 6.2 Labelling the Unseen -- 7 Conclusion -- References -- Estimating the False Positive Prediction Rate in Automated Volumetric Measurements of Malignant Pleural Mesothelioma -- 1 Introduction -- 1.1 Tumour Measurement -- 1.2 Overview of Existing Measurement Tools -- 2 Method -- 2.1 Data -- 2.2 Cross-Validation -- 2.3 Algorithm -- 2.4 False Positive Rate Estimation -- 2.5 Experiments -- 3 Results -- 3.1 Inter-slice Consistency Processing. ; 3.2 Volumetric Agreement -- 3.3 Region Overlap (Dice Score) -- 3.4 False Positive Rate Estimation -- 4 Discussion -- 4.1 Critical Analysis -- 4.2 Future Work -- 5 Conclusion -- References -- Combining Registration Errors and Supervoxel Classification for Unsupervised Brain Anomaly Detection -- 1 Introduction -- 2 Iterative Spanning Forest (ISF) -- 2.1 Theoretical Background -- 2.2 The ISF Algorithm -- 3 Description of BADRESC -- 3.1 3D Image Preprocessing and Registration -- 3.2 Registration Error Computation -- 3.3 Supervoxel Segmentation -- 3.4 Feature Extraction and Classification -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Quality Metrics -- 5 Evaluation Results -- 6 Conclusion -- A Appendix -- References -- A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades -- 1 Introduction -- 2 Evaluation Framework -- 2.1 Feature Sorting Methods -- 2.2 Selection of the Optimal NoF -- 2.3 Classifier Models -- 3 Experimental Results -- 3.1 Data -- 3.2 Performance Measures -- 3.3 Performance Results in SetU -- 3.4 Comparisons with Existing Classification Methods -- 3.5 Performance Results in Set2 -- 3.6 Analysis of the Selected Features -- 4 Discussion and Conclusion -- References -- Bioinformatics Models, Methods and Algorithms -- Efficient Algorithms for Co-folding of Multiple RNAs -- 1 Introduction -- 2 Inside Recursion -- 3 Outside Recursion -- 4 Computing Q̈k,l in Cubic Time -- 5 Implementation -- 6 Benchmarking -- 7 Concentration Dependence -- 8 Spliceosomale RNAs: A Showcase Applications -- 9 Concluding Remarks and Future Challenges -- References -- Classification of Biochemical Pathway Robustness with Neural Networks for Graphs -- 1 Introduction -- 2 Background -- 2.1 Petri Nets Modeling of Biochemical Pathways -- 2.2 Concentration Robustness -- 2.3 Deep Graph Networks -- 3 Methods. ; 3.1 Graph Preprocessing -- 3.2 Data Set -- 3.3 Model -- 4 Experiments -- 4.1 Deep Neural Network Implementation -- 4.2 Performance Evaluation -- 4.3 Results -- 4.4 Case Studies -- 5 Conclusions -- References -- Bio-inspired Systems and Signal Processing -- The Extended i-NSS: An Intelligent EEG Tool for Diagnosing and Managing Epilepsy -- 1 Introduction -- 2 The i-NSS Project -- 3 Architectural Overview of the Extended i-NSS -- 3.1 Classification Branch -- 3.2 Compression Branch -- 4 Results and Discussions -- 4.1 Dataset -- 4.2 Performance Metrics -- 4.3 Experiments on Classification -- 4.4 Experiments on Compression and Summarization -- 5 Discussion and Future Prospects -- 6 Conclusion -- References -- Idle State Detection with an Autoregressive Multiple Model Probabilistic Framework in SSVEP-Based Brain-Computer Interfaces -- 1 Introduction -- 2 Literature Review on Idle State Detection in SSVEP-based BCIs -- 3 Methodology -- 3.1 Autoregressive Multiple Modelling (AR-MM) Probabilistic Framework -- 3.2 Comparative Methods -- 4 Materials -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Exploring Inertial Sensor Fusion Methods for Direct Ergonomic Assessments -- 1 Introduction -- 2 Related Work -- 3 Upper-Body Motion Tracker -- 3.1 Inertial Acquisition -- 3.2 Pre-processing -- 3.3 Orientation Estimation -- 4 Experimental Overview -- 5 Results -- 6 Conclusion -- References -- PDC-MI Method for EEG Functional Conectivity Analysis -- 1 Introduction -- 2 Theory -- 2.1 Mutual Information -- 2.2 Partial Directed Coherence -- 2.3 Surrogate for Hypothesis Test -- 3 Methodology -- 3.1 Applied Methodology -- 3.2 Database for Study Case -- 4 Results -- 5 Discussion -- 6 Conclusions -- A Appendix -- References -- Comparison of Medical Image Evaluations in Magnetic Resonance Cholangiopancreatography Through Image J -- Abstract -- 1 Introduction. ; 2 Materials and Methods -- 2.1 MRCP Technique -- 2.2 Analysis of Images -- 3 Results -- 4 Discussion -- 5 Conclusions -- Acknowledgements -- References -- Health Informatics -- Evaluating a Comparing Deep Learning Architectures for Blood Glucose Prediction -- Abstract -- 1 Introduction -- 2 Background -- 2.1 MSF Strategies -- 2.2 LSTM -- 2.3 CNNs -- 3 Related Work -- 4 Experimental Design -- 4.1 Dataset, Performance Measurement and Statistical Tests -- 4.2 Experimental Process -- 5 Results and Discussion -- 5.1 Construction of the CNN and LSTM Models -- 5.2 Evaluation of MSF Strategies for the CNN and LSTM Models -- 5.3 Comparing the CNN and LSTM Models -- 5.4 Discussion -- 6 Threats to Validity -- 6.1 Internal Validity -- 6.2 External Validity -- 6.3 Construct Validity -- 6.4 Statistical Validity -- 7 Conclusion and Future Work -- References -- Cognitive Internet of Medical Things Architecture for Decision Support Tool to Detect Early Sepsis Using Deep Learning -- 1 Introduction -- 2 Cognitive IoMT Architecture for Early Sepsis Detection -- 3 EHR Data -- 3.1 Data Selection -- 3.2 Sepsis Definition -- 3.3 Care Episode Representation -- 3.4 Feature Selection -- 4 Methods -- 4.1 Generative Adversarial Imputation Nets (GAIN) -- 4.2 RNN-LSTM Model -- 4.3 Experimental Setup -- 4.4 Experiments -- 5 Results -- 5.1 Temporal Analysis -- 5.2 Earliness -- 5.3 Episode Sequence Length -- 6 Discussion -- 7 Conclusions -- References -- Interoperability Evaluation in Building Automation and Health Smart Homes Using Tag-Based Semantic Frameworks -- 1 Introduction -- 2 Background and State of the Art -- 2.1 Engineering of Building Automation Systems and Health Smart Homes -- 2.2 Component and System Information Models -- 2.3 Tag-Based Semantic Frameworks -- 3 Semantic Annotation Framework -- 3.1 Semantic Data Models in HSH Context. ; 3.2 Summary of Initial Semantic Annotation Framework.
• Titolo autorizzato: Biomedical Engineering Systems and Technologies
• ISBN: 3-030-72379-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996464443803316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in computer and information science ; ; 1400.