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ویرایش: [1st ed. 2021] نویسندگان: Rossitza Goleva, Nuno Ricardo da Cruz Garcia, Ivan Miguel Pires سری: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 360 ISBN (شابک) : 3030699625, 9783030699628 ناشر: Springer International Publishing سال نشر: 2021 تعداد صفحات: 179 [187] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 24 Mb
در صورت تبدیل فایل کتاب IoT Technologies for HealthCare: 7th EAI International Conference, HealthyIoT 2020, Viana do Castelo, Portugal, December 3, 2020, Proceedings به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب فناوری های اینترنت اشیا برای مراقبت های بهداشتی: هفتمین کنفرانس بین المللی EAI، HealthyIoT 2020، Viana do Castelo، پرتغال، 3 دسامبر 2020، مجموعه مقالات نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
اینترنت اشیا به عنوان مجموعه ای از فناوری ها، مفاهیم و خدمات موجود و در حال ظهور می تواند راه حل های بسیاری را برای ارائه مراقبت های بهداشتی الکترونیکی، مراقبت از بیمار و مدیریت داده های پزشکی ارائه دهد. . مقالات در موضوعات مربوط به ردیابی داده های فیزیکی پوشیدنی ها، برنامه ها و سیستم ها گروه بندی شده اند. ردیابی داده های روانشناختی پوشیدنی ها، برنامه ها و سیستم ها؛ سناریوها و امنیت.
The IoT as a set of existing and emerging technologies,
notions and services can provide many solutions to delivery
of electronic healthcare, patient care, and medical data
management.
The 12 revised full papers presented were carefully reviewed
and selected from 27 submissions. The papers are grouped in
topics on physical data tracking wearables, applications and
systems; psychological data tracking wearables, applications
and systems; scenarios and security.
Preface Conference Organization Contents Physical Data Tracking Wearables, Applications and Systems Development and Evaluation of a Novel Method for Adult Hearing Screening: Towards a Dedicated Smartphone App 1 Background 2 Materials and Methods 2.1 Speech-in-Noise Test 2.2 Classification Performance 2.3 Characterization of Transducers 3 Results 3.1 Classification Performance 3.2 Characterization of Transducers 4 Discussion 5 Limitations and Future Work 6 Conclusions References A Non-invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addictions During Pregnancy 1 Introduction 2 Problem Statement - Pregnant Women and Drug Addiction 2.1 Notable Signs of Drug Misuse in Pregnant Women 2.2 Classifying Addictions in Pregnant Women and Identifying Level of Prenatal and Postnatal Support Needed 2.3 Supporting Addicted Pregnant Women - Issues and Challenges 3 Method of Solution - IoT Support for Drug Addicted Pregnant Women 3.1 IoT in Health-Care 3.2 Related Work 4 Cloud-Based IoT Support for Drug Addicted Pregnant Women 5 The Architecture of IoT Support for Drug Addicted Pregnant Women 5.1 Sensor or WBAN Layer 5.2 Personal Server/Fog Computing Layer 5.3 Medical Service Layer 5.4 Cloud Computing Layer 6 Big Data Problem in IoT Health Applications - A Case of Drug Addicted Women 6.1 Data Analytics for IoT Health Support for Drug Addicted Pregnant Women 7 Conclusion and Future Research Direction References Sensors Characterization for a Calibration-Free Connected Smart Insole for Healthy Ageing 1 Introduction 2 Background 3 Design of the Sensing Insole 3.1 Motivations 3.2 Sensors Selection 4 Materials and Method for Sensors Characterization 5 Experimental Results and Discussion 5.1 Sensors Characterization in the Case of High Weights 5.2 Sensors Characterization in the Case of Low Weights 6 Conclusion References Novel Wearable System for Surface EMG Using Compact Electronic Board and Printed Matrix of Electrodes 1 Introduction 2 Materials and Methods 2.1 Device Design 2.2 Electrode Fabrication 2.3 Wearable Unit 2.4 Remote Unit 2.5 Testing and Validation 3 Results 4 Conclusions References Chronic Kidney Disease Early Diagnosis Enhancing by Using Data Mining Classification and Features Selection 1 Introduction 2 Related Works 3 Material and Methods 3.1 Business Understanding 3.2 Data Understanding 3.3 Data Preparation 3.4 Modeling 3.5 Evaluation 3.6 Deployment 3.7 Data Mining Software 4 Results 4.1 CKD Classifier Experimental Setup 4.2 CKD Classification and Feature Selection Results 5 Discussion 6 Conclusion References Interpreting the Visual Acuity of the Human Eye with Wearable EEG Device and SSVEP 1 Background and Introduction 1.1 Steady-State Visually Evoked Potential (SSVEP) 1.2 Human Visual Perception 2 Ayinography 2.1 Hardware Ayinography 2.2 Software Ayinography 3 Signal Processing Algorithm 3.1 Lock-In Amplifier (LIA) Algorithm 3.2 Threshold Denoising Algorithm 4 Experimental Procedure 5 Results and Discussion 5.1 Foveal Activation and Direction 5.2 Blink Interference 5.3 SSVEP Response Delay 6 Conclusion 7 Future Work 7.1 Investigations into Stimulus Size 7.2 Augmented Reality for Bioveillance 7.3 Cognitive Studies and Visual Acuity 7.4 Assessment Tool for Eye Health References Psychological Data Tracking Wearables, Applications and Systems Stress Detection with Deep Learning Approaches Using Physiological Signals 1 Introduction 2 Related Work 3 Data Collection 3.1 Study Protocol 4 Methods 4.1 Wearable Sensor 4.2 Mobile Application 4.3 REDCap Database 4.4 Signal Processing 4.5 Features Extracted 4.6 Machine Learning 5 Discussion 6 Conclusion References Classification of Anxiety Based on EDA and HR 1 Introduction 1.1 Motivation, Goals and Outline 2 Related Works 3 Data and Methodology 3.1 WESAD Dataset and Physiological Data Used 3.2 Methodology for Anxiety Classification 3.3 Evaluation Metrics 4 Results 5 Conclusions and Further Research References Preliminary Results of IoT-Enabled EDA-Based Analysis of Physiological Response to Acoustic Stimuli 1 Introduction 2 Background 3 Materials and Methods 3.1 Measurement Device 3.2 Test Population and Data Collection 4 Data Processing 5 Results and Discussions 5.1 Comparison Among Individuals 5.2 Comparison Among Different Acoustic Stimuli 6 Conclusion References Scenarios and Security CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal 1 Introduction 2 Related Work 3 Methods 4 Results 4.1 Sample Analysis 4.2 Analysis of Population Habits 4.3 Analysis of Weekly Questionnaires 4.4 Analysis of Feedback Questionnaire 5 Discussion 6 Conclusions References Dynamic Time Division Scheduling Protocol for Medical Application Using Frog Synchronization Algorithm 1 Introduction 2 Remote Healthcare Diagnosis and Detection 2.1 Packet Synchronization in Medical Application 2.2 Frog Calling Synchronization Algorithm 3 Dynamic Time Division Scheduling Protocol 4 Experimental Setup 5 Results 5.1 Sequencing of Packet Delivered for 5 Nodes 5.2 Statistical Test on the Synchronization Period for 5 Nodes 5.3 Sequencing of Packet Delivered for 10 Nodes 5.4 Statistical Test on the Synchronization Period for 10 Nodes 5.5 Sequencing of Packet Delivered for 15 Nodes 5.6 Statistical Test on the Synchronization Period for 15 Nodes 5.7 Evaluation of Packet Delivery Rate 5.8 The Scheduling Effect During Network Interference 5.9 The Scheduling Effect During Node Addition 6 Discussion 7 Conclusion References Cybersecurity Analysis for a Remote Drug Dosing and Adherence Monitoring System 1 Introduction 2 Remote Medication and Adherence Monitoring 2.1 Remote Electronic Medication Adherence Monitoring 2.2 Safety and Security Challenges 3 Approach 3.1 Threat and Vulnerability Identification 3.2 Risk Analysis 3.3 Risk Mitigation 4 Use Case 4.1 Intelligent Drug Dosing Device 4.2 Closed Loop Medication Management 4.3 Cybersecurity Analysis of the CLMM System 5 Concluding Remarks References Author Index