An empirical study on rising application of (IoT+ medical solution= IoMTS) with integration of wearable devices and disease monitoring

Patil Rahul Ashokrao; Derle Deepak Radhakrishna; Shrikant Burje; Anurag Sinha; Ghulam Yazdani; Neeraj Raj; Ahmad Alkhayyat; Rajat Ojha

doi:10.2991/978-94-6463-529-4_16

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An empirical study on rising application of (IoT+ medical solution= IoMT^S) with integration of wearable devices and disease monitoring

Authors

Patil Rahul Ashokrao¹^{, *}, Derle Deepak Radhakrishna¹, Shrikant Burje², Anurag Sinha³, Ghulam Yazdani⁴, Neeraj Raj⁵, Ahmad Alkhayyat⁶, Rajat Ojha⁷

¹Department of Computer Science, KTHM College, Nashik, MS, India

²Dept of Electronics and Telecommunication, Christian College of Engineering and Technology, Bhilai, CG, India

³Department of Computer Science and Information Technology, IGNOU, New Delhi, India

⁴Department of Computer Science and Data Analytics, Indian Institute of Technology Patna, Daulatpur, Bihar, India

⁵Senior Software Developer at Synechron, Pune, India

⁶Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq

⁷KIET Group of Institutions Affiliated to AKTU, Lucknow, India

^*Corresponding author. Email: patilra@rediffmail.com

Corresponding Author

Patil Rahul Ashokrao

Available Online 4 October 2024.

DOI: 10.2991/978-94-6463-529-4_16 How to use a DOI?
Keywords: IOT; Smart Healthcare; Architecture; Iomt; data mining; wearable devices; sensors; data management; gadgets
Abstract: The human body is an intricate framework coordinated at different levels, cells, tissues, and organs that contribute to 11 major organ frameworks. The functioning of such a complicated system in the proper manner is assessed as healthy. Conventional medicine cannot meet everyone’s needs due to population growth and rising healthcare costs. With the progression in healthcare, research is traditional healthcare applications that are molding into brilliant healthcare solutions. Frequent monitoring and maintaining proper healthcare can be achieved with the help of smart healthcare. Also, remote support and the best use of available resources can easily cover in it. Using cloud-based solutions for the Internet of Things is of great concern in smart healthcare services. The Internet of things is the backbone of brilliant healthcare solutions, which use cloud-based solutions to reach the real world with the increase in the computing power of the components. Things are nothing but the building block of these IoT-dependent smart health solutions. Things are nothing but accessories that are connected or the internet. The studies focus to develop the structures for this and use Iot based smart health solutions. Hence to its concern, an application-specific thing architecture based on the monitoring of specific body parameters is proposed which will be monitoring the health of all. Human body communication can be used to minimize the budget required for the development of the applications. Results show the actual scenario of improvement in the quality of health, needleless, budget-free medical solutions.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
Series: Advances in Engineering Research
Publication Date: 4 October 2024
ISBN: 978-94-6463-529-4
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-529-4_16 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Patil Rahul Ashokrao
AU  - Derle Deepak Radhakrishna
AU  - Shrikant Burje
AU  - Anurag Sinha
AU  - Ghulam Yazdani
AU  - Neeraj Raj
AU  - Ahmad Alkhayyat
AU  - Rajat Ojha
PY  - 2024
DA  - 2024/10/04
TI  - An empirical study on rising application of (IoT+ medical solution= IoMTS) with integration of wearable devices and disease monitoring
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 168
EP  - 181
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_16
DO  - 10.2991/978-94-6463-529-4_16
ID  - Ashokrao2024
ER  -

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