IoT for healthcare industries: a tale of revolution

Dutta, Trina; Pramanik, Subhadeep; Kumar, P. Suresh

doi:10.1016/b978-0-12-819664-9.00002-8

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…In an IoT system, sensors continuously monitor the health vitals of the patient, and the information is sent to the healthcare professionals (doctors, nurses, paramedical professionals). This information enables them to treat the patients in hospitals or remotely monitor the patient [6].…”

Section: Components Of a Smart Healthcare Ecosystemmentioning

confidence: 99%

“…Some of the low power communication technologies are Bluetooth low energy (BLE), Low power Wi-Fi, Zigbee, Low Power Wide-Area Network (LPWAN), and iBeacon. Other communication technologies used are satellite communication and NFC (Near field communication).NFC has RFID as its underlying technology, which is also used for remote health monitoring [2,6,7]. Wireless Body Area Network (WBAN) forms a network of sensors in smart healthcare applications to provide communication among sensors and actuators within, on, or anywhere close to a human body [2].…”

Section: Components Of a Smart Healthcare Ecosystemmentioning

confidence: 99%

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Suitability of self-organizing service composition approach for smart healthcare ecosystem: A study

Poornima

Immanuel

2022

SHS Web Conf.

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Future IoT systems will be deployed in open environments where the functionality of millions of IoT devices that are heterogeneous will be abstracted. In such a large scale system manual service composition is not feasible and often erroneous. A self-organizing service composition is a well known approach to deal with the problems in IoT systems. In a self-organizing service composition, the service composition is a runtime and autonomous process and human intervention is minimal. The atomic components will interact among themselves in a decentralized manner to form complex composites according to a set of self-organizing rules. The features of a self-organizing software composition are aptly suitable for the IoT domain. Smart healthcare has provided affordable healthcare for patients and enables them to self manage emergencies. This paper aims to establish the suitability of a self-organizing service composition for the smart healthcare ecosystem with special focus on real time monitoring applications.

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Section: Components Of a Smart Healthcare Ecosystemmentioning

confidence: 99%

Section: Components Of a Smart Healthcare Ecosystemmentioning

confidence: 99%

Suitability of self-organizing service composition approach for smart healthcare ecosystem: A study

Poornima

Immanuel

2022

SHS Web Conf.

View full text Add to dashboard Cite

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Recent Advances and Challenges in Internet of Things (IoT)-Based Smartphone Biosensors for COVID-19 and Zika Viruses Detection: A Review

Dehghani,

Ghalamfarsa,

Bidgoly

et al. 2023

IEEE Sensors J.

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Edge computing in IoT for smart healthcare

Yaraziz,

Sohrabi Safa,

Azad

2024

AIS

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The rapid advances in the Internet of Things (IoT) and the increment of its users have opened a door to put into service IoT in healthcare, known as the Internet of Medical Things (IoMT), which consists of cloud, fog, and edge computing. IoMT has shown to be a flexible framework to remove traditional healthcare limits through utilizing technology/techniques and innovative digital devices to monitor patients’ conditions and to address medical service problems such as inaccuracy and long response time. It also could be helpful within critical and unexpected circumstances like epidemic diseases. Fortunately, some methods, including Edge Computing, were introduced to improve the healthcare system, make it more effective and solve problems. In this work, a Systematic Literature Review (SLR) was used to study Edge Computing solutions in healthcare, evaluate efficient therapeutic approaches, and demonstrate key factors that have not been considered in previous studies.

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IoT for healthcare industries: a tale of revolution

Cited by 4 publications

References 6 publications

Suitability of self-organizing service composition approach for smart healthcare ecosystem: A study

Suitability of self-organizing service composition approach for smart healthcare ecosystem: A study

Recent Advances and Challenges in Internet of Things (IoT)-Based Smartphone Biosensors for COVID-19 and Zika Viruses Detection: A Review

Edge computing in IoT for smart healthcare

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