• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

MEDICAL APPLICATIONS OF AN INTERNET OF THINGS: ANALYSIS OF THE PATIENT OBSERVATION METHODS BY EMPLOYING THE RASPBERRY PI BOARD

Adarsh Dhiman

DPS, Ambala

44 - 48 Vol. 3, Jan-Dec, 2017
Receiving Date: 2017-02-20;    Acceptance Date: 2017-03-16;    Publication Date: 2017-03-23
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Abstract

In the ongoing advancement IoT makes all items interconnected, and it has been perceived as the following specialised insurgency. A portion of the uses of the Internet of Things is keen stopping, original home, brilliant city, savvy condition, mechanical spots, farming fields, and wellbeing checking process. One such application is in therapeutic services to screen the patient wellbeing status. The framework is expected to escapefrom intervals in the entrance of patient’s corrective data to the social insurance suppliers, especially in mischance and crisis circumstances, to stop manual data entering, and to extend beds limit in specialist's offices, especially in the midst of open events where countless are meeting in one place. The design for this framework depends on medicinal sensors which measure a patient's physical parameters by utilising remote sensor systems (WSNs). These sensors exchange information from patient's bodies over the remote network to the cloud condition. In this manner, IOT in the medicinal field draws out the answer for powerful patient checking at the decreased expense and furthermore lessens the exchange off between patient result and infection administration. In this research we talk about, watching patient's body heat, heartbeat, circulatory strain, ECG and body development utilising Raspberry Pi board.

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