A medical-IoT based framework for eHealth care

Sandeep Pirbhulal; Wanqing Wu; Subhas Chandra Mukhopadhyay; Guanglin Li

doi:10.1109/ISSI.2018.8538031

A medical-IoT based framework for eHealth care

Sandeep Pirbhulal, Wanqing Wu^*, Subhas Chandra Mukhopadhyay, Guanglin Li

^*Corresponding author for this work

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

20 Citations (Scopus)

Abstract

Technological advancements in the medical domains have attracted industry and academia across the globe. Due to the incredible revolution in the wearable devices and communication techniques, it offers efficient and economical real-time health monitoring facilities. Internet of medical things (IoMT) is one of the convenient means to organize, monitor and manage the healthcare applications. Due to the tiny and resource-constrained nature of the medical devices in IoMT, it is very significant to cope-up with the huge energy drain issues. Thus, we propose an energy efficient ON-OFF algorithm (EEOOA) for medical data transmission between the source and destination nodes in medical systems. Moreover, in this study, IoMT based framework is also developed for eHealth care. Besides, the proposed algorithm is compared with the Baseline in terms of the energy saving. Experimental results reveal that proposed EEOOA is more energy efficient than the traditional approaches in IoMT.

Original language	English
Title of host publication	2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538656389
ISBN (Print)	9781538656396
DOIs	https://doi.org/10.1109/ISSI.2018.8538031
Publication status	Published - 2018
Event	2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018 - Shanghai, China Duration: 6 Sept 2018 → 7 Sept 2018

Conference

Conference	2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
Country/Territory	China
City	Shanghai
Period	6/09/18 → 7/09/18

Keywords

IoMT
Medical Data
Efficiency
eHealth

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10.1109/ISSI.2018.8538031

Cite this

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title = "A medical-IoT based framework for eHealth care",

abstract = "Technological advancements in the medical domains have attracted industry and academia across the globe. Due to the incredible revolution in the wearable devices and communication techniques, it offers efficient and economical real-time health monitoring facilities. Internet of medical things (IoMT) is one of the convenient means to organize, monitor and manage the healthcare applications. Due to the tiny and resource-constrained nature of the medical devices in IoMT, it is very significant to cope-up with the huge energy drain issues. Thus, we propose an energy efficient ON-OFF algorithm (EEOOA) for medical data transmission between the source and destination nodes in medical systems. Moreover, in this study, IoMT based framework is also developed for eHealth care. Besides, the proposed algorithm is compared with the Baseline in terms of the energy saving. Experimental results reveal that proposed EEOOA is more energy efficient than the traditional approaches in IoMT.",

keywords = "IoMT, Medical Data, Efficiency, eHealth",

author = "Sandeep Pirbhulal and Wanqing Wu and Mukhopadhyay, {Subhas Chandra} and Guanglin Li",

year = "2018",

doi = "10.1109/ISSI.2018.8538031",

language = "English",

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booktitle = "2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018 ; Conference date: 06-09-2018 Through 07-09-2018",

}

Pirbhulal, S, Wu, W, Mukhopadhyay, SC & Li, G 2018, A medical-IoT based framework for eHealth care. in 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-4, 2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018, Shanghai, China, 6/09/18. https://doi.org/10.1109/ISSI.2018.8538031

A medical-IoT based framework for eHealth care. / Pirbhulal, Sandeep; Wu, Wanqing; Mukhopadhyay, Subhas Chandra et al.
2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - A medical-IoT based framework for eHealth care

AU - Pirbhulal, Sandeep

AU - Wu, Wanqing

AU - Mukhopadhyay, Subhas Chandra

AU - Li, Guanglin

PY - 2018

Y1 - 2018

N2 - Technological advancements in the medical domains have attracted industry and academia across the globe. Due to the incredible revolution in the wearable devices and communication techniques, it offers efficient and economical real-time health monitoring facilities. Internet of medical things (IoMT) is one of the convenient means to organize, monitor and manage the healthcare applications. Due to the tiny and resource-constrained nature of the medical devices in IoMT, it is very significant to cope-up with the huge energy drain issues. Thus, we propose an energy efficient ON-OFF algorithm (EEOOA) for medical data transmission between the source and destination nodes in medical systems. Moreover, in this study, IoMT based framework is also developed for eHealth care. Besides, the proposed algorithm is compared with the Baseline in terms of the energy saving. Experimental results reveal that proposed EEOOA is more energy efficient than the traditional approaches in IoMT.

AB - Technological advancements in the medical domains have attracted industry and academia across the globe. Due to the incredible revolution in the wearable devices and communication techniques, it offers efficient and economical real-time health monitoring facilities. Internet of medical things (IoMT) is one of the convenient means to organize, monitor and manage the healthcare applications. Due to the tiny and resource-constrained nature of the medical devices in IoMT, it is very significant to cope-up with the huge energy drain issues. Thus, we propose an energy efficient ON-OFF algorithm (EEOOA) for medical data transmission between the source and destination nodes in medical systems. Moreover, in this study, IoMT based framework is also developed for eHealth care. Besides, the proposed algorithm is compared with the Baseline in terms of the energy saving. Experimental results reveal that proposed EEOOA is more energy efficient than the traditional approaches in IoMT.

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KW - Medical Data

KW - Efficiency

KW - eHealth

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DO - 10.1109/ISSI.2018.8538031

M3 - Conference proceeding contribution

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EP - 4

BT - 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI)

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ER -

A medical-IoT based framework for eHealth care

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Keywords

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