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    Investigation of low back pain using system modeling

    , Article Advanced Science Letters ; Volume 19, Issue 5 , 2013 , Pages 1260-1264 ; 19366612 (ISSN) Khan, M. F ; Malik, A. S ; Xia, L ; Wang, J. L ; Nikkhoo, M ; Parnianpour, M ; Khan, M. I ; Sharif University of Technology
    2013
    Abstract
    This paper focuses on characterization of intervertebral disc behavior upon fatigue stress. It consists in in-vitro experiments to measure intervertebral disc deformation with regard to forces applied to produce fatigues test. In this paper, a system modeling based non-invasive method to assess back pain is proposed which may be used for designing of prediction model to predict the failure of intervertebral disc (IVD) experiencing fatigue loading. An artificial compression fracture was simulated in the lower level of vertebra followed by a poly(methyl methacrylate) (PMMA) bone cement injection. Fatigue loading was applied on the specimens and the load was incrementally increased form 650 N... 

    Time-varying assessment of heart rate variability parameters using respiratory information

    , Article Computers in Biology and Medicine ; Volume 89 , 2017 , Pages 355-367 ; 00104825 (ISSN) Goldoozian, L. S ; Zahedi, E ; Zarzoso, V ; Sharif University of Technology
    Abstract
    Analysis of heart rate variability (HRV) is commonly used for characterization of autonomic nervous system. As high frequency (HF, known as the respiratory-related) component of HR, overlaps with the typical low frequency (LF) band when the respiratory rate is low, a reference signal for HF variations would help in better discriminating the LF and HF components of HR. The present study proposes a model for time-varying separation of HRV components as well as estimation of HRV parameters using respiration information. An autoregressive moving average with exogenous input (ARMAX) model of HRV is considered with a parametrically modeled respiration signal as the input. The model parameters are... 

    Adaptive modeling of laser powder deposition process for control and monitoring application

    , Article JVC/Journal of Vibration and Control ; Volume 13, Issue 5 , 2007 , Pages 461-473 ; 10775463 (ISSN) Durali, M ; Fathi, A ; Khajepour, A ; Toyserkani, E ; Sharif University of Technology
    2007
    Abstract
    The laser powder deposition (LPD) process is an advanced material processing technique with many applications. Despite this fact, reliable and accurate control schemes have not yet been fully developed for the process. In this paper, identification of the LPD process is examined to find a more accurate model to predict and control the height of clad in real time. The model is adaptive single inputsingle output (SISO) and its structure is very similar to the Hammerstein model when the effective power (a function of laser power and velocity) is selected as the input and the clad height as the output. Weighted extended recursive least square (WERLS) is adopted to simultaneously estimate the...