IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection

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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Publication Details

Journal
Journal of Pharmacology and Pharmacotherapeutics
Published
2025-03-18
DOI
https://doi.org/10.1177/0976500x251324735
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection

Mahesh T. Kolte, Vaishali Jadhav, Altaf O. Mulani, Kishor Kinage et al.
1 citations
Journal of Pharmacology and Pharmacotherapeutics
Fault Detection and Control Systems
1.21
article

IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection

Mahesh T. Kolte, Vaishali Jadhav, Altaf O. Mulani, Kishor Kinage, Shweta Sadanand Salunkhe, Kutubuddin Sayyad Liyakat Kazi, Akshay Patil, Manish Rana, Megha Nagrale, Nilima S. Warade
article en
1 citations

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.

Journal of Pharmacology and PharmacotherapeuticsVol. 17(1)
Solapur University (IN), International Institute of Information Technology (IN), D.Y. Patil University (IN), AISSMS Institute of Information Technology, Savitribai Phule Pune University (IN), Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 24%
Fault Detection and Control Systems
1.21
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IoT Sensors in a Wireless Environment for Healthcare Monitoring: A Framework for Fault Detection — Mahesh T. Kolte, Vaishali Jadhav, et al. · Journal of Pharmacology and Pharmacotherapeutics (2025) | TGRS Research Map | TGRS