Imaging photoplethysmography is a novel, non-invasive technique that estimates physiological parameters such as heart rate by analyzing video recordings of the skin surface. Utilizing common camera technology, imaging photoplethysmogram (iPPG) is accessible through everyday devices like smartphones, facilitating remote health monitoring and enhancing healthcare access, particularly for populations with limited access to medical resources. Typically, iPPG signals are extracted from the red (R) channel because of its sensitivity to blood volume changes, aligning with traditional photoplethysmogram (PPG) devices. However, achieving the stability of these signals under various conditions remains a challenge, leading to exploration into using different color channels to improve data quality and signal stability. This study investigates channel choice optimization by evaluating the effects of varying the ratios of red (R) and blue (B) channels on the dynamic’s stability of iPPG signals measured by mobile devices. By using recurrence quantification analysis, this study assesses the complex dynamical properties of iPPG signals to understand the channel selection impact on it. The findings indicate that including the B channel in the iPPG signal enhances signal stability across individuals, which could mitigate sensitivity to variations in experimental settings and personal differences. Also, results suggest a strategy for choosing the best R and B channels combination for generating conventional PPG-like iPPGs. These results underscore the importance of channel choice in enhancing the accuracy and reliability of iPPG. The study contributes valuable insights into designing resilient health monitoring applications, promoting greater integration of iPPG into everyday technology for broader healthcare accessibility.