IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection
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- 1Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, INDIA.
- 2Department of Electronics and Telecommunication, BMIT, Solapur, Maharashtra, INDIA.
- 3Department of Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, INDIA.
- 4Department of Electronics & Telecommunication, JSPM NTC, Pune, Maharashtra, INDIA.
- 5Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, INDIA.
- 6Department of Computer Engineering, St. John College of Engineering & Management (SJCEM), Palghar, Maharashtra, INDIA.
- 7Department of Electronics & Telecommunication, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, INDIA.
- 8Department of Electronics Engineering, Ramrao Adik Institute of Technology, D. Y. Patil University, Navi Mumbai, Maharashtra, INDIA.
- 9Department of Mechanical Engineering, Sardar Patel College of Engineering, Andheri, Mumbai, Maharashtra, India A strategy for a smart agricultural system that uses the Internet of Things (IoT) to identify numerous factors in the.
Published in Journal of Pharmacology and Pharmacotherapeutics
Correspondence: Altaf O. Mulani
Department of Electronics and Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, INDIA.
Email: draomulani.vlsi@gmail.com
Copyright: © 2026 The Author(s). This is an open access article.
Published: Jan 1, 2026, Received: Mar 25, 2024, Accepted: Oct 4, 2024
Abstract
Background: The Internet of Things (IoT) and wireless sensor networks (WSNs) are now being explored and used in various sectors, thanks to recent technological advancements. Objectives: The healthcare sector is one of the areas we will examine in this research. This study’s primary focus will be on the fault detection framework (FDF) for healthcare monitoring employing IoT sensors in a wireless environment. Materials and Methods: Because isolating defects yields more pertinent information about the issues, fault detection first finds weaknesses in a system or process before isolating the intricate process or variable. Results and Discussion: The outcome demonstrates that the suggested strategy achieves an acceptable level of 80% accuracy in problem identification, in addition to the greater number of patients recorded. Conclusion: The outcomes show that the defect-detection system for wireless IoT sensor-based healthcare monitoring is efficient.
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