Key result
Secure IoT real-time heart rate monitoring outperforms other algorithms in efficiency for resource-constrained devices.
The proposed IoT-based health monitoring system offers a secure, efficient, and scalable solution for real-time remote heart rate monitoring.
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May enable efficient secure IoT heart rate monitoring on constrained devices; leaves open randomized clinical validation.
In this paper, we propose an intelligent and secure internet of things approach for the healthcare system that monitors the patient heart rate in real-time and from any place. Thanks to the agent, the proposed system can predict the critical condition before it even happens and takes fast and apt decisions in an emergency case. Based on the experimentation, the proposed system is convenient, reliable, and ensures data security at a low cost. The proposed algorithm outperforms other algorithms regarding the system's operational efficiency. It is more suitable for devices with power, storage, and processing limitations, such as in IoT devices. Also, agents are the better current technologies for heterogeneous and distributed systems, such as the internet of things. Moreover, this approach's scalability makes it suitable for a broad range of IoT environments, including smart homes, smart cities, dynamic and large-area networks, etc.
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Ahmid et al. (2020) studied Cardiac patients. Intelligent and secure IoT approach for real-time heart rate monitoring vs. Other algorithms was evaluated on System's operational efficiency. An intelligent and secure IoT approach for real-time heart rate monitoring outperformed other algorithms regarding operational efficiency and is suitable for resource-constrained devices.
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