Performance Evaluation of Blood Pressure Monitoring Devices Using Weighted Product Model: A Comparative Analysis

Blood pressure monitoring plays a crucial role in managing cardiovascular health and preventing complications associated with hypertension. This study evaluates and compares different blood pressure monitoring devices using the Weighted Product Model (WPM) method to determine the most effective option based on multiple criteria. The analysis focuses on five devices (A-E) and examines four key performance metrics: accuracy, battery life, data storage capacity, and connectivity options. The methodology employs normalized performance values and equal weighting (0.25) for each criterion to ensure unbiased evaluation. The results demonstrate that Device C emerges as the superior choice, achieving the highest preference score (0.85457) and ranking first overall. This device excels in accuracy (97%), battery life (60 hours), and maintains competitive performance in other criteria. Device A secures the second position with a preference score of 0.80401, offering balanced performance across all metrics. Device E ranks third (0.75188), distinguished by its exceptional data storage capacity but limited by shorter battery life. Devices D and B rank fourth and fifth respectively, with preference scores of 0.63729 and 0.58083, reflecting their moderate performance across multiple criteria. The study includes comprehensive performance matrices, normalized decision matrices, and visual representations through charts and graphs to illustrate the comparative analysis. The findings provide valuable insights for healthcare professionals and individuals seeking optimal blood pressure monitoring solutions, highlighting the importance of considering multiple performance criteria in device selection. This research contributes to the understanding of blood pressure monitoring technology and offers a systematic approach to evaluating medical devices using multi-criteria decision-making methods.