Data Modeling and Analysis for the Internet of Medical Things
- Title
- Data Modeling and Analysis for the Internet of Medical Things
- Creator
- Mouna P.S.; Sivaprakash P.; Arun Kumar K.; Samuel P.; Shuriyav B.; Sharma V.
- Description
- Smart biomedical technology greatly assists in rapid disease screening and diagnosis within hospitals. One innovative device, a smart inhaler, incorporates sensors to track medication doses, usage patterns, and effectiveness. These inhalers provide valuable support to asthma sufferers, allowing for improved condition management and better patient outcomes. Asthma, a chronic respiratory disease affecting millions worldwide, causes airway constriction and swelling, resulting in breathing difficulties. Typically, medication such as inhaled corticosteroids and bronchodilators is used for management. However, medication adherence is often inadequate, leading to worsened outcomes and exacerbations. Smart inhalers aim to address this challenge by enabling users to monitor medication usage and compliance. Equipped with sensors, the inhalers track when, how much, and how frequently the prescribed medication is taken. The collected data is then transmitted to a mobile app or web portal, accessible to patients and healthcare providers. This integration facilitates medication tracking and provides personalized coaching for improved asthma control. The gathered data serves multiple purposes, including helping patients monitor their medication use and adherence. Patients can receive feedback on their treatment plan adherence and utilize the app to set medication reminders, promoting adherence and enhancing outcomes. 2024 CRC Press.
- Source
- Wireless Communication Technologies: Roles, Responsibilities, and Impact of IoT, 6G, and Blockchain Practices, pp. 197-223.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Mouna P.S., Rathinam College of Arts and Science, Tamilnadu, Coimbatore, India; Sivaprakash P., Rathinam College of Arts and Science, Tamilnadu, Coimbatore, India; Arun Kumar K., Rathinam College of Arts and Science, Tamilnadu, Coimbatore, India; Samuel P., Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, India; Shuriyav B., PPG Institute of Technology, Tamil Nadu, Coimbatore, India; Sharma V., Department of Computational Sciences, CHRIST (Deemed to be University), Delhi NCR Campus, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104002620-5
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Mouna P.S.; Sivaprakash P.; Arun Kumar K.; Samuel P.; Shuriyav B.; Sharma V., “Data Modeling and Analysis for the Internet of Medical Things,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 22, 2025, https://archives.christuniversity.in/items/show/18087.