1. Radial-digital pulse wave velocity: a noninvasive method for assessing stiffness of small conduit arteries
- Author
-
Rémi Goupil, Pierre Boutouyrie, Hakim Khettab, Hasan Obeid, Catherine Fortier, Rosa Maria Bruno, Charles-Antoine Garneau, Mathilde Paré, and Mohsen Agharazii
- Subjects
Adult ,Male ,Paris ,Materials science ,Time Factors ,Physiology ,0206 medical engineering ,Flow (psychology) ,02 engineering and technology ,030204 cardiovascular system & hematology ,Pulse Wave Analysis ,Fingers ,03 medical and health sciences ,0302 clinical medicine ,Electrical conduit ,Vascular Stiffness ,Predictive Value of Tests ,Physiology (medical) ,medicine ,Hydrostatic Pressure ,Humans ,Arterial Pressure ,cardiovascular diseases ,Pulse wave velocity ,Quebec ,Stiffness ,Reproducibility of Results ,Signal Processing, Computer-Assisted ,Mechanics ,Middle Aged ,medicine.disease ,020601 biomedical engineering ,Arterial tree ,Blood pressure ,Cross-Sectional Studies ,Radial Artery ,cardiovascular system ,Arterial stiffness ,Feasibility Studies ,Female ,medicine.symptom ,Cardiology and Cardiovascular Medicine ,Algorithms - Abstract
Pulse wave velocity (PWV) is used to evaluate regional stiffness of large and medium-sized arteries. Here, we examine the feasibility and reliability of radial-digital PWV (RD-PWV) as a measure of regional stiffness of small conduit arteries and its response to changes in hydrostatic pressure. In 29 healthy subjects, we used Complior Analyse piezoelectric probes to record arterial pulse wave at the radial artery and the tip of the index. We determined transit time by second-derivative and intersecting tangents using the device-embedded algorithms and in-house MATLAB-based analyses of only reliable waves and by numerical simulation using a one-dimensional (1-D) arterial tree model coupled with a heart model. Second-derivative RD-PWV was 4.68 ± 1.18, 4.69 ± 1.21, and 4.32 ± 1.19 m/s for device-embedded, MATLAB-based, and numerical simulation analyses, respectively. Intersecting-tangent RD-PWV was 4.73 ± 1.20, 4.45 ± 1.08, and 4.50 ± 0.84 m/s for device-embedded, MATLAB-based, and numerical simulation analyses, respectively. Intersession coefficients of variation were 7.0% ± 4.9% and 3.2% ± 1.9% (
- Published
- 2021