Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)

An empirical study on rising application of (IoT+ medical solution= IoMTS) 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_16How 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.

Copyright
© 2024 The Author(s)
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_16How to use a DOI?
Copyright
© 2024 The Author(s)
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

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  -