Real-Time Patient Heart Rate Monitoring System Based on Wireless Sensor Network (WSN)
Keywords:
Keywords: Wireless Sensor Network, Heart Rate Monitoring, Computer Network, Real-Time System, Digital HealthAbstract
Heart rate monitoring is an important aspect of healthcare because it serves as a key indicator of a patient's cardiovascular condition. Advances in computer network technology and the Internet of Things have encouraged the use of Wireless Sensor Networks (WSN) as a solution for real-time, continuous, and flexible health monitoring, especially to overcome the limitations of conventional monitoring systems that do not support mobility and remote monitoring. This study aims to design, implement, and evaluate a real-time patient heart rate monitoring system based on WSN with a focus on network performance, energy efficiency, and data accuracy. This research uses a quantitative experimental method with a systems engineering approach. The system is built using heart rate sensor nodes, a WSN network, and a monitoring application. Testing was conducted to measure transmission delay, packet loss, sensor node energy consumption, and data accuracy by comparing the WSN system results with a reference device. The test results show that the system is capable of transmitting heart rate data in real time with an average delay of less than 150 ms and a packet loss rate of less than 2%. Sensor node energy consumption is relatively stable, supporting long-term operation. Comparison of data with reference tools shows a small difference in heart rate values, indicating a good level of system accuracy. The WSN-based heart rate monitoring system developed has proven to be reliable, efficient, and accurate for real-time patient monitoring. The results of this study indicate that the research objectives have been achieved and the system is feasible for implementation as a remote health monitoring solution. Further research is recommended to develop aspects of data security, network scalability, and integration with data analytics and cloud-based health systems.
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