A Review on: IoT-enabled Healthcare Monitoring Systems Based on Multi Sensor Unit

Authors

  • Dhanna Ram Department of Computer Science and Technology, School of Engineering and Technology, Mody University of Science and Technology, Laxmangarh, Sikar, Rajashtan, India
  • Somil Jain Assistant Professor, Department of Computer Science and Technology School of Engineering and Technology, Mody University of Science and Technology, Laxmangarh, Sikar, Rajashtan, India
  • Rajesh Yadav Assistant Professor, Department of Computer Science and Technology School of Engineering and Technology, Mody University of Science and Technology, Laxmangarh, Sikar, Rajashtan, India
  • Mohit Kumar Saini Lecturer, Department of Computer Science and Technology Government Polytechnic College, Churu, Rajasthan, India

Keywords:

IoT, Health Care Monitoring, Smart Health Care System

Abstract

The rapid advancements in the Internet of Things (IoT) have significantly impacted healthcare by enabling real-time monitoring and remote patient management. This review paper examines the role of IoT-enabled healthcare monitoring systems, focusing on multi-sensor units that track vital health parameters such as ECG, heart rate, blood pressure, temperature, and respiration. The study explores various architectures and technologies, including cloud computing, federated learning, blockchain security, and low-power sensor networks, that enhance the efficiency, security, and scalability of IoT-based healthcare solutions. A detailed analysis of recent research highlights key developments in IoT-driven healthcare, addressing the benefits and limitations of different approaches. While IoT-based health monitoring systems improve accessibility, accuracy, and real-time data analysis, challenges such as interoperability, data privacy, and energy efficiency persist. This paper provides a comprehensive review of existing literature, identifies research gaps, and discusses potential advancements to further optimize IoT-enabled healthcare solutions.

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Published

2025-07-16

Issue

Section

Research Articles