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    Development of a Wrist PPG Probe for the Measurement of Radial Artery Diameter

    , M.Sc. Thesis Sharif University of Technology Keikhosravi, Adib (Author) ; Zahedi, Edmond (Supervisor)
    Abstract
    Inability of endothelial cells in responding to metabolic needs (endothelial dysfunction,) is a sign of heart diseases like atherosclerosis and vascular stenosis. Recently, a new method using finger PPG signal has been proposed to determine endothelial function in response to reactive hypertension (RH.) PPG-based endothelial function assessment results are not fully correlated with ultrasound FMD tests, and this is because of some auto-regulation phenomena in the fingertip. It is expected that such problems will not exist in larger arteries, like the radial artery. The goal of this project is to acquire the PPG signal from the radial artery as it is proportional to blood volume changes in... 

    Simulating Light Propagation and Photoplethysmography Signal Generation over the Radial Artery

    , M.Sc. Thesis Sharif University of Technology Hosseini, Soheil (Author) ; Zahedi, Edmond (Supervisor)
    Abstract
    Measuring the human brachial arterial diameter has significant applications in medical research. This is conventionally carried out using ultrasonography which is costly and operator-skill dependent. The objective of this project is to come up with substitute solutions based on optical measurement. Reflectance photoplethysmography (PPG) over the radial artery has been considered to this end. Monte Carlo method has been employed to simulate light propagation in the wrist area, along with a model comprising tissue, artery and bone, made of simple solid geometries. Functions of optical parameters such as refractive index, absorption coefficient, scattering coefficient and anisotropy factor have... 

    Artificial neural network for predicting the safe temporary artery occlusion time in intracranial aneurysmal surgery

    , Article Journal of Clinical Medicine ; Volume 10, Issue 7 , 2021 ; 20770383 (ISSN) Shahjouei, S ; Ghodsi, S. M ; Zangeneh Soroush, M ; Ansari, S ; Kamali Ardakani, S ; Sharif University of Technology
    MDPI  2021
    Abstract
    Background. Temporary artery clipping facilitates safe cerebral aneurysm management, besides a risk for cerebral ischemia. We developed an artificial neural network (ANN) to predict the safe clipping time of temporary artery occlusion (TAO) during intracranial aneurysm surgery. Method. We devised a three-layer model to predict the safe clipping time for TAO. We considered age, the diameter of the right and left middle cerebral arteries (MCAs), the diameter of the right and left A1 segment of anterior cerebral arteries (ACAs), the diameter of the anterior communicating artery, mean velocity of flow at the right and left MCAs, and the mean velocity of flow at the right and left ACAs, as well... 

    Experimental feasibility study of estimation of the normalized central blood pressure waveform from radial photoplethysmogram

    , Article Journal of Healthcare Engineering ; Volume 6, Issue 1 , 2015 , Pages 121-144 ; 20402295 (ISSN) Zahedi, E ; Sohani, V ; Mohd. Ali, M. A ; Chellappan, K ; Beng, G. K ; Sharif University of Technology
    Multi-Science Publishing Co. Ltd  2015
    Abstract
    The feasibility of a novel system to reliably estimate the normalized central blood pressure (CBPN) from the radial photoplethysmogram (PPG) is investigated. Right-wrist radial blood pressure and left-wrist PPG were simultaneously recorded in five different days. An industry-standard applanation tonometer was employed for recording radial blood pressure. The CBP waveform was amplitude-normalized to determine CBPN. A total of fifteen second-order autoregressive models with exogenous input were investigated using system identification techniques. Among these 15 models, the model producing the lowest coefficient of variation (CV) of the fitness during the five days was...