04707nam 22007095 450 991041004930332120250610110528.09783030375263303037526910.1007/978-3-030-37526-3(CKB)4100000010770979(DE-He213)978-3-030-37526-3(MiAaPQ)EBC6152181(PPN)243228767(MiAaPQ)EBC29090588(EXLCZ)99410000001077097920200331d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierInternet of Things Use Cases for the Healthcare Industry /edited by Pethuru Raj, Jyotir Moy Chatterjee, Abhishek Kumar, B. Balamurugan1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XII, 296 p. 79 illus., 59 illus. in color.)9783030375256 3030375250 AI in Health Sector -- Real-Time Smart Healthcare Model using IoT -- A Fog Based Approach for Real-Time Analytics of IoT-Enabled Healthcare -- Applications of IoT in Indoor Air Quality Monitoring Systems -- CloudIoT for Smart Healthcare: Architecture, Issues and Challenges -- Impact of IoT on the Healthcare Producers: Epitomizing Pharmaceutical Drug Discovery Process -- Cyber-Security Threats in Medical Devices -- Smart Healthcare Use Cases and Applications -- IoT Use Cases and Applications -- Internet of Things for Ambient Assisted Living - An Overview -- Smart Health care Applications and Real Time Analytics through Edge Computing -- The Role of Blockchain for Medical Electronics Security -- Clinical Data Analysis using IoT Data Analytics Platforms -- Internet of Things - Tools and Technologies in Healthcare -- Clinical data analysis using IoT -- Security Issues in IoT and Healthcare Devices.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. .Computer networksComputer engineeringInternet of thingsEmbedded computer systemsMedical informaticsComputer input-output equipmentComputer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Cyber-physical systems, IoThttps://scigraph.springernature.com/ontologies/product-market-codes/T24080Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Input/Output and Data Communicationshttps://scigraph.springernature.com/ontologies/product-market-codes/I12042Computer networks.Computer engineering.Internet of things.Embedded computer systems.Medical informatics.Computer input-output equipment.Computer Communication Networks.Cyber-physical systems, IoT.Health Informatics.Input/Output and Data Communications.610.28563Raj Pethuruedthttp://id.loc.gov/vocabulary/relators/edtChatterjee Jyotir Moyedthttp://id.loc.gov/vocabulary/relators/edtKumar Abhishekedthttp://id.loc.gov/vocabulary/relators/edtBalusamy Balamuruganedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910410049303321Internet of Things Use Cases for the Healthcare Industry2025671UNINA