The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Holistic IoT Framework for Timely Detection of Cardiovascular Diseases
Abstract
The chapter delves into the innovative intersection of internet of things healthcare to address the pressing global challenge of cardiovascular diseases. This emerges as a sophisticated and user-centric framework designed for early identification and management of cardiovascular conditions. The chapter provides a comprehensive exploration showcasing the integration of wearable devices, health monitoring sensors, and cloud computing to facilitate real-time data collection and analysis. The author presents a framework that employs advanced data analytics and machine learning algorithms, enabling predictive modeling for early detection of cardiovascular risk factors. Case studies demonstrate the tangible success in early disease identification. This chapter fosters an interconnected health ecosystem, ensuring seamless communication between devices and healthcare providers. The user-centric approach is emphasized through intuitive interfaces, feedback loops, and proactive health management features.
Related Content
|
Nuno Geada.
© 2024.
29 pages.
|
|
Ushaa Eswaran.
© 2024.
31 pages.
|
|
Nuno Geada.
© 2024.
10 pages.
|
|
Kamal Upreti, Khushboo Malik, Anmol Kapoor, Nayan Patel, Pratham Tiwari.
© 2024.
22 pages.
|
|
Wasswa Shafik.
© 2024.
26 pages.
|
|
Albérico Travassos Rosário, Isabel Travassos Rosário.
© 2024.
33 pages.
|
|
Megha Bhushan, Abhishek Kukreti, Arun Negi.
© 2024.
10 pages.
|
|
|