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ویرایش: نویسندگان: Pethuru Raj, Jyotir Moy, Chatterjee Abhishek, Kumar B. Balamurugan سری: ISBN (شابک) : 3030375250, 9783030375256 ناشر: Springer سال نشر: 2020 تعداد صفحات: 303 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 10 مگابایت
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در صورت تبدیل فایل کتاب Internet of Things Use Cases for the Healthcare Industry 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 موارد استفاده از اینترنت اشیا برای صنعت مراقبت های بهداشتی 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.
این کتاب موارد استفاده خاص مراقبتهای بهداشتی بالقوه مخرب و تحولآفرین را بررسی میکند که توسط آخرین پیشرفتها در فناوری اینترنت اشیا (IoT) و سیستمهای فیزیکی-سایبری (CPS) ممکن شدهاند. داده های مراقبت های بهداشتی را می توان در معرض طیف وسیعی از تحقیقات مختلف قرار داد تا اطلاعات بسیار مفید و قابل استفاده برای اتوماسیون کارهای دستی سنتی استخراج شود. علاوه بر این، برنامه های مراقبت های بهداشتی نسل بعدی را می توان با یکپارچه سازی آخرین ابزارهای کشف و انتشار دانش افزایش داد. این برنامههای پیشرفته و هوشمند مراقبتهای بهداشتی به لطف اکوسیستم رو به رشدی از حسگرها و محرکهای مراقبتهای بهداشتی، شبکههای حسگر و محرک جدید موقت و ویژه برنامه، و پیشرفتهایی در ضبط، پردازش، ذخیرهسازی و استخراج دادهها امکانپذیر است. چنین برنامههایی همچنین از پیشرفتهترین الگوریتمهای یادگیری ماشینی و عمیق، گامهای اساسی در هوش مصنوعی و محیطی، و پیشرفتهای سریع در پایداری و بلوغ مدلهای محاسباتی موبایل، اجتماعی و لبه بهره میبرند.
This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models.
Preface Contents Contributors AI and IoT in Healthcare 1 Introduction 2 Role of AI in Diabetes 3 AI in Cardiovascular 3.1 Profound Learning in Cardiology 4 AI in Mental Well-Being 4.1 Emotional Symptoms 4.2 Mental Disorders Are the Costliest Condition in the US 5 Role of AI in Parkinson’s Disease 5.1 Pervasiveness and Costs of Parkinson’s Disease 6 Role of AI in Chronic Kidney Disease 6.1 Kidney Disease AI Applications Overview 6.2 Utilizing AI to Reveal Patients with the Most Noteworthy Hazard 7 Role of AI in Dementia 7.1 Dementia AI Applications Overview 7.2 Mental and Physical Health Screening 8 Conclusion References Proposing Real-Time Smart Healthcare Model Using IoT 1 Introduction 2 Literature Survey 3 Proposed System 4 Methodology 5 Capability 6 Conclusion and Future Work References A Fog-Based Approach for Real-Time Analytics of IoT-Enabled Healthcare 1 Introduction 2 IoT Analytics 3 Fog Computing 4 Role of Fog Computing in Healthcare 5 Deployment of Healthcare Applications 6 Case Study: A Real-Time Fog Healthcare Scenario 7 Notification Through Android Application 8 Conclusion References Applications of IoT in Indoor Air Quality Monitoring Systems 1 Introduction 2 Basic Concepts of IoT 2.1 History of IoT 2.2 IoT: Everywhere Around Us 2.3 Extensively Growing IoT Market: The Stats 3 Indoor Air Quality 3.1 Background 3.2 Medical Health Consequences 3.3 Motivation for the Design 4 IoT for Indoor Air Quality Monitoring 4.1 Survey on IoT-Based IAQ Monitoring Systems 4.2 Challenges 4.3 Requirements of Future IAQM Systems 5 Conclusion References CloudIoT for Smart Healthcare: Architecture, Issues, and Challenges 1 Introduction 2 Application Areas and Related Work 3 Background Terms 3.1 Internet of Things in Healthcare 3.2 Cloud Computing in Healthcare 4 Integrating CloudIoT with Healthcare 5 CloudIoT Complementary Aspects and Integration Drivers 6 Framework for Healthcare Architecture 7 A Conceptual Healthcare Scenario 8 Design Considerations for Healthcare 9 CloudIoT Security Issues and Threats 9.1 Security Features and Goals 9.2 Security Vulnerabilities 9.3 Potential Defense Strategies 10 Platforms and Services 10.1 Platforms 10.2 Services 11 Challenges and Open Issues 12 Discussion and Conclusion References Impact of IoT on the Healthcare Producers: Epitomizing Pharmaceutical Drug Discovery Process 1 IoT in the Producer Side of Health Care: Introduction 2 Drug Discovery Process: Current Scenario 3 An Optimization Model for Identification of NCE 3.1 Computational Drug Design for NCE Identification 4 The Mathematical Model 5 Numerical Validation of the Model 6 Discussion on the Scope of Optimization in Automatic NCE Identification 7 IoT: The Road Ahead for Healthcare Producers 8 Conclusion Appendix: Tutorial for Building Optimization Model in Excel Solver References Cybersecurity Vulnerabilities in Biomedical Devices: A Hierarchical Layered Framework 1 Introduction 2 Overview of Existing Technologies 3 Active Medical Devices Cyberattacks 4 Cyberattack Detection and Prevention 4.1 Medical Device and Hospital Network Cyberattack Anatomy 4.2 Tools and Procedures for Detection and Prevention 5 A Hierarchical Layered Framework for Biomedical Devices 5.1 Case Study: MRI Unit Cyberattack 5.2 Case Study: Infusion Pump Cyberattack 5.3 Case Study: Implantable Medical Device Cyberattack 6 Conclusion References Smart Healthcare Use Cases and Applications 1 Introduction 1.1 Health Care 1.2 IoT 1.3 Big Data Analytics 1.4 Smart Health Care 1.5 Distributed Analytics and Edge Intelligence 2 Smart Healthcare Use Cases and Applications 2.1 Healthcare Monitoring 2.2 Other Healthcare Sectors 2.3 Wearable Devices 3 Smart Home 4 Benefits and Challenges of IoT in Health Care 4.1 Privacy and Security 5 Conclusion References IoT Use Cases and Applications 1 Introduction 2 Pulse Rate Monitoring System 2.1 Clinical Care 2.2 Remote Checking 3 Hardware Components 4 Smart Glove for Paralyzed Patients 4.1 Machine Learning on the Incoming Data 4.2 Data Analytics Over Collected Data 5 Automatic Medicine Dispenser 5.1 Smart Automatic Medication Dispenser 5.2 Automated Drug Dispensing Systems 5.3 Construction of a Smart Medication Dispenser with High Degree of Scalability and Remote Manageability 5.4 Design of Automatic Medication Dispenser 6 Architecture 7 Conclusion References Internet of Things for Ambient-Assisted Living—An Overview 1 Introduction 2 Internet of Things—An Overview 2.1 Architecture and Components of IoT 2.2 Features and Challenges in IoT 3 Overview of Ambient-Assisted Living 3.1 Architecture of AAL 3.2 Challenges in AAL 4 IoT in Ambient-Assisted Living 4.1 Pressure Ulcer Detection in Elderly by Using IoT Devices 4.2 Wearable Devices 5 Conclusions 6 Future Scope References Smart Healthcare Applications and Real-Time Analytics Through Edge Computing 1 Introduction 1.1 IoT Application in Healthcare Systems 1.2 Devices Being Used in Healthcare Systems 2 Challenges of IoT-Based Healthcare Applications 3 Cloud Computing/Edge Computing/Fog Computing 4 Need for Edge Computing 5 Edge Computing and Healthcare Systems 6 Edge Computing General Framework 7 Edge Computing Use Cases 8 Edge Computing for Real-Time Analysis 9 Challenges for IoT-based Edge computing 9.1 Security 9.2 Performance and Deployment of Edge 9.3 Defining Use Case 9.4 Less Expertise 9.5 Data Management 10 Conclusion References Clinical Data Analysis Using IoT Data Analytics Platforms 1 Introduction 1.1 Clinical Data 2 IoT World 2.1 Medical IoT (mIoT) 2.2 Linked Medical Data 3 Electronic Health Record Data (EHR) 4 Analytic Information Warehouse 5 Data Warehousing 6 Clinical Data Warehousing 7 Process Analytics Techniques 8 Mobile Health Care (M Health Care) 9 Cognitive Data Transmission Method (CDTM) 10 Digital Health Ecosystem 11 IoT-Based Healthcare Devices and Technologies 12 Healthcare Monitoring System 13 Smartification of IoT 14 Secure Health Using IoT 15 Healthcare Information Systems 16 Long Short-Term Memory and DeepCare 17 Clinical Pathways 18 Online Health-Oriented Chat Logs 19 Wearable IoT Data Stream 20 Big Data Analytics with Application to Health Care 21 Big Data and Analytics in Mobile Healthcare Market 22 Big Data in Health Care 23 Big Data Privacy in Health Care 24 Challenges of mIoT 25 Conclusions References Index