Date of Publication :21st May 2024

Abstract:This paper introduces a comprehensive Wireless Sensor Network (WSN) system tailored specifically for real-time heart rate monitoring, with a focus on leveraging MATLAB for efficient signal processing and analysis. The system architecture integrates a network of wireless sensor nodes equipped with physiological sensors capable of capturing vital signs, particularly emphasizing heart rate data acquisition. Methodologically, the development process involves meticulous sensor selection, consideration of hardware constraints, and the design of robust communication protocols to ensure reliable data transmission within the network. MATLAB's role in signal processing enables the development of sophisticated algorithms for preprocessing raw sensor data, extracting relevant features, and accurately detecting heart rate variations in real-time. Experimental validation of the system's performance encompasses rigorous testing under various environmental conditions and physiological states, demonstrating its accuracy and reliability over extended periods of monitoring. The findings underscore the system's potential for early detection of heart rate abnormalities, offering valuable insights for clinical diagnosis and personalized healthcare interventions. Moreover, the integration of MATLAB as a development platform enhances the system's accessibility and versatility, paving the way for broader applications in healthcare monitoring, wearable health devices, and telemedicine solutions.

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