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[null,"1.","Record Nr.",null,"UNISA996464539103316"]
[null,null,"Titolo",null,"IoT technologies for health care : 8th EAI International Conference, HealthyIoT 2021 : virtual event, November 24-26, 2021 : proceedings / / edited by Susanna Spinsante, Bruno Silva, Rossitza Goleva"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-030-99197-0"]
[null,null,"Descrizione fisica",null,"1 online resource (232 pages)"]
[null,null,"Collana",null,"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; ; v.432"]
[null,null,"Disciplina",null,"610.285"]
[null,null,"Soggetti",null,"Artificial intelligence - Medical applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Security and Privacy - Software and Application Security -- Non-intrusive and Privacy Preserving Activity Recognition System for Infants Exploiting Smart Toys -- 1 Introduction -- 2 Related Work -- 3 The Dataset -- 3.1 Synthetic Dataset: In-Lab Data Collection -- 3.2 The AutoPlay Dataset -- 3.3 Annotation -- 4 Predictive System -- 5 Results -- 5.1 Results Based on the In-Lab Collected Dataset -- 5.2 Validation of the In-Lab Data Base Classification Models -- 5.3 Validation on Real Use-Case Scenarios -- 6 Conclusion -- References -- Human-Centered Computing - Ubiquitous and Mobile Computing -- Co-design the Acceptability of Wearables in the Healthcare Field -- 1 Introduction -- 2 Reflecting on the Contribution of Design to Enhance the Wearables' Acceptability -- 2.1 An Empirical Case Study to Design an Acceptable Wearable PSS -- 2.2 Improve Wearable Acceptability Through UX and UI Design -- 3 Conclusion -- References -- Evaluations on Pending Regulation on Ethical Review Measures for Biomedical Research Involving Human Subjects and Artificial Intelligence -- 1 Introduction -- 2 Methods -- 3 Results and Discussion -- 3.1 Ethics Review Committees in Three Tiers (Institutional, Provincial, and National) Should Be Established in China While Identifying the Clear, Precise Scope of Review Authorities for Each Level -- 3.2 The Guidance About Data Security in Ethics Review Should Be Clearly Descripted in the Draft -- 3.3 Transparency and Responsibility Should Be Supplemented into the Principles of Ethics Review -- 4 Conclusions -- References -- "]
[{"$nulls":4},"Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awareness: A Conceptual Model -- 1 Introduction -- 1.1 Related Works -- 1.2 Using Content Analysis in Model Development -- 2 The Conceptual Model: Development Process."]
[{"$nulls":4},"2.1 Analyze: Common Components -- 2.2 Define: Elements for Each Sub-component -- 2.3 Ideate: Components Integration -- 2.4 Validate: Multidisciplinary Expert Reviews -- 3 The Conceptual Model: Result and Discussion -- 4 Conclusion -- References -- Information Systems - Information Retrieval -- A Comparative Study of Data Mining Techniques Applied to Renal-Cell Carcinomas -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Preprocessing -- 3.2 Data Cleansing -- 3.3 Modeling and Validation -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Predicting Diabetes Disease in the Female Adult Population, Using Data Mining -- 1 Introduction -- 2 Background and Related Work -- 2.1 Diabetes -- 2.2 Related Work -- 3 Methodology -- 3.1 Business Understanding -- 3.2 Data Understanding -- 3.3 Data Preparation -- 3.4 Modeling -- 3.5 Evaluation -- 4 Discussion -- 5 Conclusions and Future Work -- References -- Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking -- 1 Introduction -- 2 Related Work -- 3 Measuring Devices and Instruments -- 3.1 Wearable fNIRS System -- 3.2 Fitbit Sense and Sleep Rating -- 4 Data Collection Protocol -- 5 Data Analysis Protocol -- 6 Results -- 7 Discussions -- References -- Detection of Diabetic Retinopathy Using CNN -- 1 Introduction -- 2 Background -- 2.1 Diabetic Retinopathy -- 2.2 Deep Learning Techniques -- 2.3 Image Processing -- 3 Related Work -- 4 Methodology -- 4.1 Data Collection -- 4.2 Preprocessing -- 4.3 Feature Extraction and Classification Using Deep Learning -- 5 Results and Discussion -- 6 Conclusion -- References -- Automatic Classification of Diabetic Retinopathy Through Segmentation Using CNN -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Proposed Method."]
[{"$nulls":4},"3.2 Deep Learning -- 4 Results -- 5 Conclusion and Future Work -- References -- Pulp Stone Detection Using Deep Learning Techniques -- 1 Introduction -- 2 Background -- 2.1 Convolutional Neural Networks -- 2.2 Deep Learning in Dentistry -- 2.3 The Importance of Pulp Stone Detection -- 3 Methodology -- 3.1 Dataset -- 3.2 The Pre-processing Stage -- 3.3 Feature Extraction -- 3.4 The Classification Stage -- 4 Experimentation -- 5 Results and Discussion -- 6 Conclusion -- 7 Future Work -- References -- Identification of Drug-Drug Interactions Using OCR -- 1 Introduction -- 2 Related Works -- 2.1 Drug Label Identification Through Image and Text Embedding Model -- 2.2 ST-Med-Box -- 2.3 LSTM-CRF -- 2.4 Syntax Convolutional Neural Network (SCNN) -- 2.5 Position-Aware Deep Multi-task Learning Approach for Extracting DDIs from Biomedical Texts -- 2.6 Recognition Medicine Name from Doctor's Prescription -- 2.7 DDIs from Structured Product Labels -- 2.8 The Automated Drug Detection and Location Identification -- 2.9 Drug-Drug Interaction Extraction -- 2.10 A Label Propagation Method with Linear Neighborhood Information -- 3 Methodology -- 3.1 Dataset -- 3.2 The Proposed System -- 4 Results and Discussion -- 5 Conclusion -- References -- Applied Computing - Physical Sciences and Engineering -- Patients Behaviour Monitoring Inside a Hospital Garden: Comparison Between RADAR and GPS Solutions -- 1 Introduction -- 2 The Considered Technologies -- 2.1 Radar Systems -- 2.2 Smartwatch with GPS -- 3 Measurement Setup and Radar Signal Processing -- 3.1 Measurement Area and Systems "]
[{"$nulls":4},"Configuration -- 3.2 Radar Signal Processing -- 4 Experimental Tests and Results -- 5 Conclusions -- References -- IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements -- 1 Introduction -- 2 Materials and Methods -- 2.1 Measuring Device."]
[{"$nulls":4},"2.2 Data Acquisition Protocol -- 3 Data Processing -- 4 Results and Discussions -- 5 Conclusion -- References -- CS-Based Decomposition of Acoustic Stimuli-Driven GSR Peaks Sensed by an IoT-Enabled Wearable Device -- 1 Introduction -- 2 Background -- 2.1 GSR Signal -- 2.2 GSR Signal Analysis in Time Domain -- 3 Materials and Methods -- 3.1 The IoT-Enabled Sensing Device -- 3.2 Data Collection -- 4 Data Processing -- 4.1 Synthethic GSR Signals -- 5 Test Implementation and Results -- 5.1 Preliminary Analysis on Synthetic GSR Signals -- 5.2 Test on Real GSR Signals -- 6 Conclusion -- References -- GAIToe: Gait Analysis Utilizing an IMU for Toe Walking Detection and Intervention -- 1 Introduction -- 2 Related Works -- 3 GAIToe System Specification -- 3.1 Hardware Implementation -- 3.2 Power Consumption -- 3.3 Android Application Development -- 3.4 Activity Recognition Algorithm -- 4 Experiments -- 5 Future Work -- 6 Conclusion -- References -- Applied Computing - Life and Medical Sciences -- Prediction of Conversion to Alzheimer's Disease Using 3D-DWT and PCA -- 1 Introduction -- 2 Prior Study -- 3 Proposed Method -- 3.1 3D-Discrete Wavelet Transform -- 3.2 Principal Component Analysis -- 3.3 Support Vector Machine -- 4 Implementation and Evaluation -- 4.1 Dataset Acquisition -- 4.2 K-Fold Cross-Validation -- 4.3 Evaluation Metric -- 5 Results and Discussion -- 6 Conclusion -- References -- DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels -- 1 Introduction -- 2 Materials and Methods -- 2.1 Wrist-Worn Acquisition Device -- 2.2 Data Acquisition Protocol -- 2.3 Data Processing -- 3 Results and Discussions -- 3.1 BP and HR Data Measured with the Oscillometric Method -- 3.2 Results from Wrist-Worn PPG Sensor and Load Cell -- 4 Conclusion -- References -- Author Index."]