Photoplethysmography-Based Technologies for Cardiovascular Disease Detection: Challenges and Opportunities

Abedalrahamn Busati, Obadah Altabaa and Osama Hamad
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Abedalrahamn Busati: Information Technology Department, University of Fujairah, Fujairah, UAE
Obadah Altabaa: Information Technology Department, University of Fujairah, Fujairah, UAE
Osama Hamad: Information Technology Department, University of Fujairah, Fujairah, UAE

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 3, 794-802

Abstract: Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, underscoring the critical need for early detection and continuous monitoring. Traditional diagnostic methods, such as electrocardiograms (ECGs) and invasive blood pressure monitoring, are highly accurate but often limited by their cost, complexity, and reliance on clinical settings. Enter photoplethysmography (PPG), a groundbreaking, non-invasive, and cost-effective optical technology that is transforming cardiovascular monitoring. PPG works by measuring blood volume changes using light, offering valuable insights into key health metrics like heart rate, blood oxygen saturation, and arterial stiffness. Its simplicity and versatility have made it a cornerstone of wearable devices, such as smartwatches and fitness trackers, enabling continuous health monitoring outside of traditional medical environments. Beyond basic metrics, PPG’s ability to detect subtle changes in arterial pulse waveforms has proven invaluable in identifying conditions like hypertension, atrial fibrillation, and atherosclerosis. Research has further demonstrated its effectiveness in assessing arterial stiffness and early signs of atherosclerosis, particularly in high-risk populations. Despite its promise, PPG is not without challenges. The technology is susceptible to motion artifacts and environmental noise, which can compromise signal accuracy. Fortunately, advancements in signal processing and machine learning, such as wavelet transforms, adaptive filtering, and deep learning have significantly enhanced PPG’s reliability and diagnostic precision. These innovations are paving the way for more robust and accessible cardiovascular monitoring solutions. This paper provides a comprehensive review of PPG’s principles, applications, and challenges in cardiovascular disease detection. We explore its potential for real-world, continuous monitoring and discuss exciting future opportunities, including its integration with telemedicine platforms and multimodal sensing systems. While hurdles remain, PPG’s non-invasive nature, affordability, and compatibility with wearable devices position it as a game-changer in modern cardiovascular care. By enabling earlier detection, better management, and prevention of CVDs, PPG is poised to improve health outcomes for millions of people worldwide.

Date: 2025
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