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<p>Healthcare monitoring depends on the accuracy of the measured physiological parameters in real-time, given the ongoing increase in the number of patients as compared to the limited medical physicians. Imaging photoplethysmography (IPPG) is one of the emerging non-invasive techniques for the measurement of vital signs, including oxygen saturation (SpO2), heart rate (HR), and respiratory rate (RR). This work explores a comprehensive sensitivity analysis to evaluate the impact of the critical acquisition parameters such as (1) image resize, from 100 to 2%, (2) the region of interest (ROI) within the images, and (3) acquisition duration, from 5&#xa0;s to 30&#xa0;s, using image sequences obtained at 30 frames per second. To evaluate and validate the performance of the system, the study consists of several mouse examinations to enhance both precision and consistency in real-time monitoring. The analysis reveals that how image resize influences signal integrity, image resolution, and processing efficiency, which is crucial for resource-limited applications. The ROI selection analysis discovers the key regions to optimize the accuracy of measured vital signs, while the evaluation of acquisition duration provides insights in terms of ensuring the reliable minimum duration for vital signs. These comprehensive analysis advances the current state of the art and addresses the previously overlooked but important factors that offers a robust framework for effective real-time monitoring for research and medical applications.</p>

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Optimization and sensitivity analysis for developing a real-time non-contact physiological parameters measurement and monitoring system using IPPG signal for biomedical applications

  • 期刊论文

  • 发表日期：

    2025年1月17日

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  • Vikesh Singh Bhadouria,
  • You-rim Park,
  • Joo Beom Eom

摘要

Healthcare monitoring depends on the accuracy of the measured physiological parameters in real-time, given the ongoing increase in the number of patients as compared to the limited medical physicians. Imaging photoplethysmography (IPPG) is one of the emerging non-invasive techniques for the measurement of vital signs, including oxygen saturation (SpO2), heart rate (HR), and respiratory rate (RR). This work explores a comprehensive sensitivity analysis to evaluate the impact of the critical acquisition parameters such as (1) image resize, from 100 to 2%, (2) the region of interest (ROI) within the images, and (3) acquisition duration, from 5 s to 30 s, using image sequences obtained at 30 frames per second. To evaluate and validate the performance of the system, the study consists of several mouse examinations to enhance both precision and consistency in real-time monitoring. The analysis reveals that how image resize influences signal integrity, image resolution, and processing efficiency, which is crucial for resource-limited applications. The ROI selection analysis discovers the key regions to optimize the accuracy of measured vital signs, while the evaluation of acquisition duration provides insights in terms of ensuring the reliable minimum duration for vital signs. These comprehensive analysis advances the current state of the art and addresses the previously overlooked but important factors that offers a robust framework for effective real-time monitoring for research and medical applications.