Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/1954 2018 2018 Technical Engineering College, Northren Technical University, Mosul, Iraq Entisar Y. Abd Al Al-Jabbar Technical Engineering College, Northren Technical University, Mosul, Iraq Marwa M. Mohamedsheet Al .. Technical Engineering College, Northren Technical University, Mosul, Iraq Maysaloon Abed Qasim Ministry of Education, General Directorate of Education in Nineveh, Iraq Wameedh Raad Fathel Ninawa Health Directorate, High Institute of Health in Mosul, University of Mosul, Iraq Maan Ahmed Fadhil This scientific paper presents a novel approach of real-time signal analysis in electrocardiogram (ECG) monitoring systems, focusing on the integration of device design,algorithm implementation for accurate measurement and interpretation of heart activity. The proposed system leverages a low-cost framework, employing a microcontroller and Arduino programming language for raw ECG data acquisition, while utilizing the AD8232 sensor and ESP8266 Node MCU for continuous patient monitoring. The acquired data is processed, stored, and analyzed using the Pan-Tompkins algorithm, which effectively filters and analyzes heart signals, including noise reduction and QRS complex detection. Two case studies involving a healthy individual and a patient with Myocarditis were conducted to demonstrate the effectiveness of the system. The integration of device design and algorithm development in ECG analysis is emphasized, highlighting the affordability, wearability, and potential for continuous monitoring and early detection of heart conditions. By successfully mitigating noise-related challenges, the implementation of the Pan algorithm enables accurate signal analysis. This interdisciplinary research contributes to the advancement of ECG interpretation and underscores the significance of clinical fusion between designed systems and applied algorithms on real cases. The performance of two Pan-Tompkins based QRS complex detection algorithms was systematically analyzed, offering valuable insights for their reasonable utilization. 2023 2023 172 184 10.54216/FPA.120214 https://www.americaspg.com/articleinfo/3/show/1954