Vascular reactivity characterized by PPG-derived pulse wave velocity DOI Creative Commons
Pablo Armañac‐Julián, Spyridon Kontaxis, Jesús Lázaro

et al.

Biomedical Signal Processing and Control, Journal Year: 2025, Volume and Issue: 105, P. 107641 - 107641

Published: Feb. 8, 2025

Language: Английский

Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives DOI Creative Commons

Zoi Papalamprakopoulou,

D. N. Stavropoulos,

Serafeim Moustakidis

et al.

Frontiers in Cardiovascular Medicine, Journal Year: 2024, Volume and Issue: 11

Published: July 15, 2024

Atrial fibrillation (AF) significantly increases the risk of stroke and heart failure, but is frequently asymptomatic intermittent; therefore, its timely diagnosis poses challenges. Early detection in selected patients may aid prevention mitigate structural complications through prompt intervention. Smartwatches, coupled with powerful artificial intelligence (AI)-enabled algorithms, offer a promising tool for early due to their widespread use, easiness potential cost-effectiveness. Commercially available smartwatches have gained clearance from FDA detect AF are becoming increasingly popular. Despite promise, evolving landscape AI-enabled smartwatch-based raises questions about clinical value this technology. Following ongoing digital transformation healthcare, clinicians should familiarize themselves how function navigate role settings deliver optimal patient care. In review, we provide concise overview characteristics smartwatch diagnostic performance, value, limitations, discuss future perspectives diagnosis.

Language: Английский

Citations

5

Photoplethysmography for the Assessment of Arterial Stiffness DOI Creative Commons
Parmis Karimpour, James M. May, P. A. Kyriacou

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(24), P. 9882 - 9882

Published: Dec. 17, 2023

This review outlines the latest methods and innovations for assessing arterial stiffness, along with their respective advantages disadvantages. Furthermore, we present compelling evidence indicating a recent growth in research focused on stiffness using photoplethysmography (PPG) propose PPG as potential tool vascular ageing future. Blood vessels deteriorate age, losing elasticity forming deposits. raises likelihood of developing cardiovascular disease (CVD), widely reported global leading cause death. The process induces structural modifications system, such increased which can various volumetric, mechanical, haemodynamic alterations. Numerous techniques have been investigated to assess some are currently used commercial medical devices some, PPG, still remain space.

Language: Английский

Citations

12

pyPPG: a Python toolbox for comprehensive photoplethysmography signal analysis DOI Creative Commons
Márton Áron Goda, Peter Charlton, Joachim A. Behar

et al.

Physiological Measurement, Journal Year: 2024, Volume and Issue: 45(4), P. 045001 - 045001

Published: March 13, 2024

Abstract Objective. Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It commonly and being increasingly used for variety of research clinical applications to assess vascular dynamics physiological parameters. Yet, contrary heart rate variability measures, field which has seen the development stable standards advanced toolboxes software, no such limited open tools exist continuous photoplethysmogram (PPG) analysis. Consequently, primary objective this was identify, standardize, implement validate key digital PPG biomarkers. Approach. This work describes creation standard Python toolbox, denoted pyPPG , long-term time-series analysis demonstrates detection computation high number fiducial points biomarkers using fingerbased transmission pulse oximeter. Main results. The improved peak detector had an F1-score 88.19% state-of-the-art benchmark when evaluated on 2054 adult polysomnography recordings totaling over 91 million reference beats. algorithm outperformed open-source original Matlab implementation by ∼5% benchmarked subset 100 randomly selected MESA recordings. More than 3000 were manually annotated two annotators order detector. consistently demonstrated performance, with mean absolute error less 10 ms all points. Significance. Based these points, engineered set 74 Studying can enhance our understanding manifestations etiology diseases. toolbox also be biomarker engineering training data-driven models. available https://physiozoo.com/ .

Language: Английский

Citations

4

Advanced point-of-care biomarker testing for the diagnosis of cardiovascular diseases DOI Creative Commons
Wai‐Kit Ming, Yidan Zhu, Wenjun Jiang

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100747 - 100747

Published: Jan. 1, 2025

Language: Английский

Citations

0

Vascular reactivity characterized by PPG-derived pulse wave velocity DOI Creative Commons
Pablo Armañac‐Julián, Spyridon Kontaxis, Jesús Lázaro

et al.

Biomedical Signal Processing and Control, Journal Year: 2025, Volume and Issue: 105, P. 107641 - 107641

Published: Feb. 8, 2025

Language: Английский

Citations

0