IEEE Organizations related to Smart Healthcare

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No organizations are currently tagged "Smart Healthcare"



Conferences related to Smart Healthcare

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No conferences are currently tagged "Smart Healthcare"


Periodicals related to Smart Healthcare

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No periodicals are currently tagged "Smart Healthcare"


Most published Xplore authors for Smart Healthcare

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Xplore Articles related to Smart Healthcare

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Digital Health in the Era of Extreme Automation

IT Professional, 2018

In the era of extreme automation and connectivity, digital health is rapidly changing the healthcare industry by presenting effective solutions to several healthcare challenges, such as interoperability and patient satisfaction.


Intelligent Systems for Smart Health Care: Leveraging Information for Better Well-Being

IEEE Consumer Electronics Magazine, 2019

Recently, intelligent systems have increased opportunities to leverage information for proactive and preventive health care. They also offer a way to incorporate patients into their health care as important players in disease management, thus reducing costs and improving diagnostics and treatment outcomes. By making measurements and analysis automatic, intelligent systems trigger new smart health care, leading to revolutionary human medical ...


Development of Monitoring and Health Service Information System to Support Smart Health on Android Platform

2018 4th International Conference on Nano Electronics Research and Education (ICNERE), 2018

Indonesia has relatively low health index compared to other countries, which is caused by increasingly complex disease pattern. One way to solve this problem is using the Smart Health concept, which enables monitoring of health condition by patient and healthcare institutions, to prevent diseases. Researches related to health monitoring have been conducted. Most of them focus only on the reading ...


Smart Healthcare in the Era of Internet-of-Things

IEEE Consumer Electronics Magazine, 2019

The development in the Internet-of-Things (IoT) has advanced healthcare. The direction of healthcare has been transformed from treatment to health management. Thus, more data are being generated and aggregated than ever before while healthcare moves toward patient-oriented and analytic application. This paper discusses the different aspects of smart healthcare along with the health data and patient-oriented health management.


Cross-Platform E- Management for Smart Care Facilities Using Deep Interpretation of Patient Surveillance Videos

2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME), 2018

Smart health applications are increasingly used in various healthcare environments. Deep neural networks provide the ability of visual interpretation of complex environments. An important part of providing smart health and smart care services, is patient monitoring and remote clinical decision management. In this paper a deep learning based patient monitoring and clinical decision management system for smart care facilities is ...



Educational Resources on Smart Healthcare

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IEEE-USA E-Books

  • Digital Health in the Era of Extreme Automation

    In the era of extreme automation and connectivity, digital health is rapidly changing the healthcare industry by presenting effective solutions to several healthcare challenges, such as interoperability and patient satisfaction.

  • Intelligent Systems for Smart Health Care: Leveraging Information for Better Well-Being

    Recently, intelligent systems have increased opportunities to leverage information for proactive and preventive health care. They also offer a way to incorporate patients into their health care as important players in disease management, thus reducing costs and improving diagnostics and treatment outcomes. By making measurements and analysis automatic, intelligent systems trigger new smart health care, leading to revolutionary human medical care together with progress in computer science, data science, and telecommunications. In this special section, interesting research articles on electroencephalogram (EEG), posture, heart rate, and biomechanics are presented to show how health care can be advanced with smart and intelligent technologies.

  • Development of Monitoring and Health Service Information System to Support Smart Health on Android Platform

    Indonesia has relatively low health index compared to other countries, which is caused by increasingly complex disease pattern. One way to solve this problem is using the Smart Health concept, which enables monitoring of health condition by patient and healthcare institutions, to prevent diseases. Researches related to health monitoring have been conducted. Most of them focus only on the reading and visualization of sensor data while the data management aspects including data storage, processing and synchronization between system, patients and healthcare institutions are not developed yet. This research proposes a design of health monitoring system named Mooble (Monitoring for Better Life Experience), a system to monitor patient health condition and to prevent diseases as early as possible. Mooble consists of three subsystems: web application, database and API design, and mobile application on android platform. But this research will only focus on the design and development of the mobile application subsystem. This research consists of three main aspects: application design, development and testing. The system is developed using Rational Unified Process (RUP) framework. In the end, this research will result a mobile application to be used by patients.

  • Smart Healthcare in the Era of Internet-of-Things

    The development in the Internet-of-Things (IoT) has advanced healthcare. The direction of healthcare has been transformed from treatment to health management. Thus, more data are being generated and aggregated than ever before while healthcare moves toward patient-oriented and analytic application. This paper discusses the different aspects of smart healthcare along with the health data and patient-oriented health management.

  • Cross-Platform E- Management for Smart Care Facilities Using Deep Interpretation of Patient Surveillance Videos

    Smart health applications are increasingly used in various healthcare environments. Deep neural networks provide the ability of visual interpretation of complex environments. An important part of providing smart health and smart care services, is patient monitoring and remote clinical decision management. In this paper a deep learning based patient monitoring and clinical decision management system for smart care facilities is proposed. The proposed cross-platform e-management system is a part of a medical business intelligence framework which is capable of helping care providers with various alerts, recommendations, data analytics and dashboards for better response to the situations in a smart care facility. The proposed system processes various information including the visual information to automatically alert the physician and care provider with the status of the patients. A series of simulations are performed for scenarios including children and adult care. The simulation results show that the proposed framework is capable of providing a cross-platform solution for patient monitoring in smart care facilities.

  • Study of Health Monitoring System

    Advancement in technology makes great efforts in health care system. Smart health monitoring will reduce effort of people by automating the patient monitoring task which improves patient work flow management. This study reviews enhancement in health care system. It focuses on portable, wearable and android technology based health monitoring system. This study reveals different approaches for health monitoring.

  • Smart Fabrics and Interactive Textile: State of the Art and Future Challenges

    Smart Fabrics and Interactive Textile (SFIT) based systems are conceived as the integration into textile of sensors, actuators, computing, and a power source, with the whole being part of an interactive communication network. Such systems could only be envisaged through a combination of advances in fields as fiber and polymer research, advanced material processing, microelectronics, signals processing, nanotechnologies, and telecommunication.Textile is the common platform where smart materials in the form of fibers are integrated, where the properties of the material are augmented through combination of chemical surfaces processes, and where the structure of the fabric allows the use of redundant sensor configurations Promising recent developments in material processing, device design and system configuration enable the scientific and industrial community to concentrate efforts on the realization of smart textiles This course will discuss the use of textile materials for sensing functions. Textile technology for sensors fabrication will be presented. Methods for characterizations will also be discussed and examples of specific applications will be presented. The course will also provide an overview of future developments.

  • IEEE Draft Standard for Health Informatics—Point-of-Care Medical Device Communication—Part 10101: Nomenclature

    Within the context of the ISO/IEEE 11073 family of standards for point-of-care (POC) medical device communication (MCD), this standard provides the nomenclature that supports both the domain information model and service model components of the standards family, as well as the semantic content exchanged with medical devices. The nomenclature is specialized for patient vital signs information representation and medical device informatics, with major areas including concepts for electrocardiograph (ECG), haemodynamics, respiration, blood gas, urine, fluid-related metrics, and neurology, as well as specialized units of measurement, general device events, alarms, and body sites. The standard defines both the architecture and major components of the nomenclature, along with extensive definitions for each conceptual area.

  • Fog-Enabled Smart Health: Toward Cooperative and Secure Healthcare Service Provision

    The rise of smart health promotes ubiquitous healthcare services with the adoption of information and communication technologies. However, increasing demands of medical services require more computing and storage resources in proximity of medical users for intelligent sensing, processing, and analysis. Fog computing emerges to enable in situ data processing and service provision for smart health in proximity of medical users, exploiting a large number of small-scale servers. In this article, we investigate fog-enabled smart health toward cooperative and secure healthcare service provision. Specifically, we first introduce the overall infrastructure and some promising applications, including emergent healthcare service, health risk assessment, and healthcare notification. We then discuss the challenges of fog-enabled smart health from the perspectives of cooperation and security. A case study is presented to demonstrate efficient and secure health data sharing through Naive Bayes classification and attribute-based encryption with assistance from fog computing. Finally, by exploring interesting future directions, more attention can be attracted to this emerging area.

  • Health Internet of Things: Strengths, Weakness, Opportunity, and Threats

    These days, based on the recent development in IoT technologies, a large number of innovative healthcare applications should be created. Health Internet of Things (HIoT) is a novel technology that used to connect many diver's medical sensors to IoT devices. The HIoT facilitates remote data collection and monitoring in healthcare fields. This paper is a review study that addresses the impact of HIoT on healthcare applications. In this regards, we investigated the most important technologies used in HIoT and describe the main strengths, weaknesses, opportunities, and threats of HIoT-based applications. Based on the results, the potential strengths and opportunities of the HIoT technology is very different and widespread; however, it has some significant weaknesses and threats including complexity of handling a huge number of heterogeneous objects, achieving scalability, reliability, efficiency, availability, security, and interoperability with IoT systems across healthcare applications.



Standards related to Smart Healthcare

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No standards are currently tagged "Smart Healthcare"