An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications

Wu, Taiyang; Wu, Fan; Redouté, Jean-Michel; Yuce, Mehmet Rasit

doi:10.1109/access.2017.2716344

Cited by 327 publications

(125 citation statements)

References 29 publications

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“…It is also being used as E-health application on different aspects such as early detection of medical issues, emergency notification and computer-assisted rehabilitation. The Smartphones has become the indispensable part of the people's daily life and these are connected with the sensor to monitor the health of the subject [2]. This sensing based surveillance system acquires various data from the wards and diagnostic equipment, and mines these data for efficient and automatically control of healthcare [3].…”

Section: Introductionmentioning

confidence: 99%

Challenges and opportunities in IoT healthcare systems: a systematic review

Selvaraj¹,

2019

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In this study, the latest research articles which are involved in the Internet of Things (IoT) based healthcare system are analyzed as the IoT is growing enormously in the healthcare systems such as health monitoring, fitness programs, etc. Numerous research has been carried out in the IoT based healthcare system to improve monitoring efficiency. The architecture used in the IoT especially the cloud integrated systems are investigated in this work. The factors such as accuracy and power consumption are the important concern in the IoT, hence the research works which are involved in improving the performance of the IoT based healthcare systems are discussed. Data management methods in the IoT based healthcare system with cloud facilities are also systematically analyzed in this study. The performance of the IoT based healthcare system along with its advantages and limitations are reviewed. Most research works are efficient in detecting several symptoms and can accurately predict the diseases. The IoT based healthcare system designed especially for elders is an efficient solution in monitoring their healthcare issues. Major limitations in the existing systems are high power consumption, availability of fewer resources and security issues due to the utilization of many devices.

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Section: Introductionmentioning

confidence: 99%

Challenges and opportunities in IoT healthcare systems: a systematic review

Selvaraj¹,

2019

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“…Many studies have been reported which utilized the cIoT model to remotely monitor patients [67], [68], [69] using: ECG android application [70] along with other helathcare data [71], FIWARE 5 platform [72], and wearable sensors (IoT) and body area network [73]. Additionally, other cIoT frameworks include: personnel altering system regarding lifestyle diseases from physical activity data [74], [75], collecting real-time patient data from wireless body area network [76], accumulating physiological and healthcare data smart clothing with IoT sensors [77], [78], selecting personalized treatment plan [79], providing personalized medical diagnosis [80], supporting the physically challenged with assistive devices [81].…”

Section: State-of-the-art Of Ioht Frameworkmentioning

confidence: 99%

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Asif-Ur-Rahman

Afsana

Mahmud

et al. 2019

IEEE Internet Things J.

182

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Rapid developments in the fields of information and communication technology and microelectronics allowed seamless interconnection among various devices letting them to communicate with each other. This technological integration opened up new possibilities in many disciplines including healthcare and well-being. With the aim of reducing healthcare costs and providing improved and reliable services, several healthcare frameworks based on Internet of Healthcare Things (IoHT) have been developed. However, due to the critical and heterogeneous nature of healthcare data, maintaining high quality of service (QoS) -in terms of faster responsiveness and data-specific complex analytics -has always been the main challenge in designing such systems. Addressing these issues, this paper proposes a five-layered heterogeneous mist, fog, and cloud based IoHT framework capable of efficiently handling and routing (near-)real-time as well as offline/batch mode data. Also, by employing software defined networking and link adaptation based load balancing, the framework ensures optimal resource allocation and efficient resource utilization. The results, obtained by simulating the framework, indicate that the designed network via its various components can achieve high QoS, with reduced end-to-end latency and packet drop rate, which is essential for developing next generation e-healthcare systems.

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“…In [26] a 3-lead ECG system was designed to measure the respiration rate, based on a Power-Class 2 BLE module. A similar device was used in [31] for a wearable WBAN with solar energy harvesting to measure body temperature, heart rate, and fall detection.…”

Section: Existing Wireless Technologies For Wbans and Related Workmentioning

confidence: 99%

Enabling Communication Technologies for Medical Wireless Body-Area Networks

Haddad

Khalighi

2019

2019 Global LIFI Congress (GLC)

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The increasing percentage of aging population and chronic diseases on one hand, and the advances in the development of integrated short range wireless technologies on the other hand, have created a growing interest in the development of medical telemonitoring and telecare systems through the use of medical on-body sensor networks, also known as medical wireless body area networks (WBANs). This paper provides an overview of the main wireless technologies that can be used for WBANs in the medical domain and discusses the major requirements in such applications. While radio frequency technologies are well established solutions for interconnecting WBANs, the high risk of interference in such networks motivates the use of alternative or complementary technologies including optical wireless communications.Index Terms-Wireless sensor networks; body area networks; medical on-body networks; optical wireless communications.

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An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications

Cited by 327 publications

References 29 publications

Challenges and opportunities in IoT healthcare systems: a systematic review

Challenges and opportunities in IoT healthcare systems: a systematic review

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Enabling Communication Technologies for Medical Wireless Body-Area Networks

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