Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 27, 2025

Background Obstruction within the left anterior descending coronary artery (LAD) is prevalent, serving as a prominent and independent predictor of mortality. Invasive Fractional flow reserve (FFR) gold standard for Coronary Artery Disease risk assessment. Despite advances in computational imaging techniques, no definitive methodology currently assures clinicians reliable, non-invasive strategies future planning. Method The present research encompassed cohort 150 participants who were admitted to Rajaie Cardiovascular, Medical, Research Center. method includes three-dimensional geometry reconstruction, fluid dynamics simulations, optimization computation time. Four patients are analyzed this study showcase proposed methodology. invasive FFR results reported by clinic have validated optimized model. Results data derived from all methodologies compared with those each case. chosen has yielded virtual values that exhibit remarkable proximity clinically patient-specific values, MSE 6.186e-7 R2 0.99 (p = 0.00434). Conclusion This approach shown reliable patients. both computationally user-friendly, accumulative pre post-processing time 15 min on desktop computer (Intel i7 processor, 16 GB RAM). potential significantly assist diagnosis.

Language: Английский

Analysis of the Chaotic Component of Photoplethysmography and Its Association with Hemodynamic Parameters

Entropy, Journal Year: 2023, Volume and Issue: 25(12), P. 1582 - 1582

Published: Nov. 24, 2023

Wearable technologies face challenges due to signal instability, hindering their usage. Thus, it is crucial comprehend the connection between dynamic patterns in photoplethysmography (PPG) signals and cardiovascular health. In our study, we collected 401 multimodal recordings from two public databases, evaluating hemodynamic conditions like blood pressure (BP), cardiac output (CO), vascular compliance (C), peripheral resistance (R). Using irregular-resampling auto-spectral analysis (IRASA), quantified chaotic components PPG employed different methods measure fractal dimension (FD) entropy. Our findings revealed that surgery patients, power of increased with stiffness. As intensity CO fluctuations increased, there was a notable strengthening correlation most complexity measures these parameters. Interestingly, some conventional morphological features displayed significant decrease correlation, indicating shift static scenario. Healthy subjects exhibited higher percentage components, hemodynamics this group tended be more pronounced. Causal showed are main influencers for FD changes, observed feedback cases. conclusion, understanding vital assessing health, especially individuals unstable or during ambulatory testing. These insights can help overcome faced by wearable enhance usage real-world scenarios.

Language: Английский

Robust arterial compliance estimation with Katz’s fractal dimension of photoplethysmography

Frontiers in Physiology, Journal Year: 2024, Volume and Issue: 15

Published: June 10, 2024

Arterial compliance (AC) plays a crucial role in vascular aging and cardiovascular disease. The ability to continuously estimate aortic AC or its surrogate, pulse pressure (PP), through wearable devices is highly desirable, given strong association with daily activities. While the single-site photoplethysmography (PPG)-derived arterial stiffness indices show reasonable correlations AC, they are susceptible noise interference, limiting their practical use. To overcome this challenge, our study introduces noise-resistant indicator of AC: Katz’s fractal dimension (KFD) PPG signals. We showed that KFD integrated signal complexity arising from changes across cardiac cycle structural complexity, thereby decreasing dependence on individual characteristic points. assess capability measuring we conducted comprehensive evaluation using both silico studies 4374 virtual human data real-world measurements. In studies, demonstrated correlation ( r = 0.75), which only experienced slight decrease 0.66 at signal-to-noise ratio 15dB, surpassing best PPG-morphology-derived measure 0.41) under same condition. addition, observed KFD’s sensitivity varied based individual’s hemodynamic status, may further enhance accuracy estimations. These findings were supported by measurements encompassing diverse health conditions. conclusion, suggests PPG-derived has potential reliably monitor compliance, enabling unobtrusive assessment health.

Language: Английский