Enhancing Remote Patient Monitoring through IoT: A Wearable Sensor Fusion Approach for Cardiovascular Health Management

Authors

  • Aren D’Souza, Angelin Jeba, Amanda D'Souza Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, India

Keywords:

Remote patient, monitoring (RPM), Internet of things (IOT), wearable sensor fusion, cardiovascular health, management ECG (Electrocardiography) PPG (Photoplethysmography).

Abstract

Remote Case monitoring (RPM) via the Internet of Effects (IoT) bias has surfaced as a promising approach for managing cardiovascular health. This study presents a new methodology using wearable detector emulsion to enhance RPM effectiveness in cardiovascular health operation. Our approach integrates data from multiple wearable detectors, such as ECG, PPG, and accelerometer, to give comprehensive real-time monitoring of vital signs and physical exertion. Using machine literacy algorithms, the fused detector data is anatomized to descry anomalies, prognosticate cardiovascular events, and epitomize intervention strategies. Likewise, the IoT structure enables flawless communication between cases, healthcare providers, and pall-grounded PPG (Photoplethysm analytics platforms, easing timely intervention and remote discussion. The proposed frame aims to ameliorate patient issues by enabling early discovery of cardiovascular issues, optimizing treatment plans, and promoting visionary healthcare operation. Through simulation studies and confirmation with clinical data, we demonstrate the feasibility and efficacy of our wearable detector emulsion approach in enhancing RPM for cardiovascular health operation.

References

World Health Organization. Are You Ready? What You Need to Know about Ageing. World Health Day. 2012. Available online: http://www.who.int/world-health-day/2012/toolkit/background/en/ (accessed on 20 June 2016).

Ghasemzadeh, H.; Amini, N.; Saeedi, R.; Sarrafzadeh, M. Power- Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection. IEEE Trans. Mob. Comput. 2015, 14, 800–812. [CrossRef]

Centers for Disease Control and Prevention. The State of Aging and Health in America 2013; Centers for Disease Control and Prevention, US Department of Health and Human Services: Atlanta, GA, USA, 2013N. B. Othman and O. P. Ek, “Pill dispenser with alarm via smart phone notification,” 2016 IEEE 5th Global Conference on Consumer Electronics, pp. 1-2, 2016.

Global Age Watch Index 2015. Available online: http://www.helpage.org/global-agewatch/ (accessed on 20 June 2016).

Dementyev, A.; Hodges, S.; Taylor, S.; Smith, J. Power consumption analysis of Bluetooth Low Energy, ZigBee and ANT sensor nodes in a cyclic sleep scenario. In Proceedings of the 2013 IEEE International Wireless Symposium (IWS), Beijing, China, 14–18 April 2013; pp. 1–4.

Suzuki, T.; Tanaka, H.; Minami, S.; Yamada, H.; Miyata, T. Wearable wireless vital monitoring technology for smart health care. In Proceedings of the 2013 7th International Symposium on Medical Information and Communication Technology (ISMICT), Tokyo, Japan, 6–8 March 2013; pp. 1–4.

Corchado, J.; Bajo, J.; Abraham, A. GerAmi: Improving Healthcare Delivery in Geriatric Residences.IEEE Intell. Syst. 2008, 23, 19–25. [CrossRef]

Stav, E.; Walderhaug, S.; Mikalsen, M.; Hanke, S.; Benc, I. Development and evaluation of SOA- based AAL services in real-life environments: A case study and lessons learned. Int. J. Med. Inform. 2013, 82, e269–e293. [CrossRef] [PubMed]

Houdas, Y.; Ring, E.F.J. Human Body Temperature: Its Measurement and Regulation; Springer Science & Business Media: New York, NY, USA, 1982.

156.Cooper, K.; Veale, W.; Malkinson, T. Measurements of Body Temperature. Methods Psychobiol. Adv. Lab. Tech. Neuropsychol. 1977, 3, 149–187.

Tuan Nguyen Gia, Imed Ben Dhaou, Mai Ali, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen,Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease,Future Generation Computer Systems,Volume 93,2019.

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How to Cite

Aren D’Souza, Angelin Jeba, Amanda D’Souza. 2025. “Enhancing Remote Patient Monitoring through IoT: A Wearable Sensor Fusion Approach for Cardiovascular Health Management”. Metallurgical and Materials Engineering 31 (1):408-15. https://metall-mater-eng.com/index.php/home/article/view/1263.

Issue

Vol. 31 No. 1 (2025)

Section

Research

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Copyright (c) 2025 Aren D’Souza, Angelin Jeba, Amanda D'Souza

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