ItemBook Chapter

Revolutionizing Mental Health Care: The Transformative Power of Internet of Medical Things (IoMT): A Comprehensive Overview and Case Studies

Title
Revolutionizing Mental Health Care: The Transformative Power of Internet of Medical Things (IoMT): A Comprehensive Overview and Case Studies
Creator
Abilash, K.; Sindhuja Manisha Kamini, P.; Joshi, Ruchi; Nejili, Ayisha
Description
This study proposes the detection of humans in disaster-affected areas from the images obtained from unmanned aerial vehicle (UAV). Specialized rescue teams do such search and rescue operations to search a vast area for missing persons. The degrading effect of blur induced by camera movement during image capture is one of the primary difficulties in data processing of UAV photography. This can be caused by the UAVs natural flying movement, severe winds, turbulence, or unexpected operator inputs, all of which reduce accuracy. This blur disturbs the visual analysis and interpretation of the data, causes errors, and can degrade the accuracy. As a result, this approach proposes a method based on contrast-limited adaptive histogram equalization (CLAHE) and deblurring using Gaussian blur kernel as the solution. A variety of UAV datasets were used to verify the methods speed and reliability. This method proves to be fast and efficient, making the algorithm applicable for UAV dataset. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors.
Source
Internet of Medical Things: Case Studies and Applications in Healthcare;pp.112-123
Date
01-01-2025
Publisher
CRC Press
Coverage
Abilash K., Department of Psychology, CHRIST University, Bengaluru, India; Sindhuja Manisha Kamini P., Department of Psychology, Alliance University, Bengaluru, India; Joshi R., Department of Psychology, Manipal University, Jaipur, India; Nejili A., Small Steps Big Dreams, Dubai, United Arab Emirates
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104050436-9; 978-103274893-1;
Format
online
Language
English
Type
Book chapter

Citation

Abilash, K.; Sindhuja Manisha Kamini, P.; Joshi, Ruchi; Nejili, Ayisha, “Revolutionizing Mental Health Care: The Transformative Power of Internet of Medical Things (IoMT): A Comprehensive Overview and Case Studies,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24333.

Output Formats