Journal ArticleDOI
Comparison of measurement of the augmentation index from ARTSENS and eTRACKING
Ashish Kumar Sahani,Jayaraj Joseph,Ravikumar Radhakrishnan,Mohanasankar Sivaprakasam,Suresh Seshadri +4 more
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TLDR
It is shown that it is possible to estimate the augmentation index (AIx), a measure of the global arterial mechanics, from the distension waveforms obtained by ARTSENS, a unique device that can measure the three most widely used indices of arterial Mechanics—LAS, RAS and the AIx.Abstract:
Over past few years our group has been developing a fully automated and low-cost device, ARTSENS (ARTerial Stiffness Evaluation for Non-invasive Screening), to enable non-experts to measure arterial stiffness (AS). It uses a single element ultrasound transducer to obtain A-mode frames from a superficial artery such as the common carotid artery (CCA) and analyzes them to obtain the stiffness parameters of the vessel. We have earlier demonstrated that ARTSENS can accurately measure local arterial stiffness (LAS) and regional arterial stiffness (RAS) by tracing the distension waveforms of the CCA and the femoral artery. In this paper, we show that it is possible to estimate the augmentation index (AIx), a measure of the global arterial mechanics, from the distension waveforms obtained by ARTSENS. AIx measurements from ARTSENS are compared against the state-of-the-art Hitachi-Aloka eTRACKING system for 107 volunteers. Both devices show excellent agreement with a correlation coefficient (r) = 0.82 (p < 0.0001), which is comparable to similar studies reported in the literature. This development makes ARTSENS a unique device that can measure the three most widely used indices of arterial mechanics—LAS, RAS and the AIx.read more
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Journal ArticleDOI
Assessment of Carotid Arterial Stiffness in Community Settings With ARTSENS
Jayaraj Joseph,P M Nabeel,Sudha Ramachandra Rao,Ramachandran Venkatachalam,Malay Ilesh Shah,Prabhdeep Kaur +5 more
TL;DR: The association of carotid stiffness with age, gender, hypertension/diabetes, smoking, and clustering of risk factors was studied and the trend persisted even after excluding hypertensives and subjects with diabetes.
Journal ArticleDOI
A Machine Learning Pipeline for Measurement of Arterial Stiffness in A-Mode Ultrasound
TL;DR: In this article , deep neural network (DNN) models are employed to perform carotid detection, wall localization, and inner lumen diameter measurement using a noninvasive A-mode ultrasound-based device.
References
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Journal ArticleDOI
Validation of Carotid Artery Tonometry as a Means of Estimating Augmentation Index of Ascending Aortic Pressure
Chen Huan Chen,Chih Tai Ting,Amit Nussbacher,Erez Nevo,David A. Kass,Peter H. Pak,Shih Pu Wang,Shih Pu Wang,Mau Song Chang,Mau Song Chang,Frank C.P. Yin +10 more
TL;DR: The high correlations and predictable changes after interventions between the central AI and those estimated from noninvasive carotid tonometry suggest that this technique may have wide applicability for many cardiovascular studies.