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Holistic IoT Framework for Timely Detection of Cardiovascular Diseases

Holistic IoT Framework for Timely Detection of Cardiovascular Diseases

Akashdeep Bhardwaj
Copyright: © 2024 |Pages: 18
ISBN13: 9798369321416|EISBN13: 9798369321423
DOI: 10.4018/979-8-3693-2141-6.ch011
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MLA

Bhardwaj, Akashdeep. "Holistic IoT Framework for Timely Detection of Cardiovascular Diseases." Improving Security, Privacy, and Connectivity Among Telemedicine Platforms, edited by Nuno Geada, IGI Global, 2024, pp. 220-237. https://doi.org/10.4018/979-8-3693-2141-6.ch011

APA

Bhardwaj, A. (2024). Holistic IoT Framework for Timely Detection of Cardiovascular Diseases. In N. Geada (Ed.), Improving Security, Privacy, and Connectivity Among Telemedicine Platforms (pp. 220-237). IGI Global. https://doi.org/10.4018/979-8-3693-2141-6.ch011

Chicago

Bhardwaj, Akashdeep. "Holistic IoT Framework for Timely Detection of Cardiovascular Diseases." In Improving Security, Privacy, and Connectivity Among Telemedicine Platforms, edited by Nuno Geada, 220-237. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2141-6.ch011

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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.

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