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    Surface Electromyogram signal estimation based on wavelet thresholding technique

    , Article 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, 20 August 2008 through 25 August 2008 ; 2008 , Pages 4752-4755 ; 9781424418152 (ISBN) Khezri, M ; Jahed, M ; Sharif University of Technology
    IEEE Computer Society  2008
    Abstract
    Surface Electromyogram signal collected from the surface of skin is a biopotential signal that may be influenced by different types of noise. This is a considerable drawback in the processing of the sEMG signals. To acquire the clean sEMG that contains useful information, we need to detect and eliminate these unwanted parts of signal. In this work, a new method based on wavelet thresholding technique is presented which provides an acceptable purified sEMG signal. sEMG signals for this study are extracted for various hand movements. We use three hand movements to calculate the near optimal estimation parameters. In this work two types of thresholding techniques, namely Stein unbiased risk... 

    Approximation algorithms for software component selection problem

    , Article 14th Asia Pacific Software Engineering Conference, ASPCE 2007, Nagoya, 4 December 2007 through 7 December 2007 ; January , 2007 , Pages 159-166 ; 15301362 (ISSN); 0769530575 (ISBN); 9780769530574 (ISBN) Haghpanah, N ; Habibi, J ; Moaven, S ; Kargar, M ; Yeganeh, H ; Sharif University of Technology
    2007
    Abstract
    Today's software systems are more frequently composed from preexisting commercial or non-commercial components and connectors. These components provide complex and independent functionality and are engaged in complex interactions. Component-Based Software Engineering (CBSE) is concerned with composing, selecting and designing such components. As the popularity of this approach and hence number of commercially available software components grows, selecting a set of components to satisfy a set of requirements while minimizing cost is becoming more difficult. This problem necessitates the design of efficient algorithms to automate component selection for software developing organizations. We... 

    Time-dependent analysis of leaflets in mechanical aortic bileaflet heart valves in closing phase using the finite strip method

    , Article Medical Engineering and Physics ; Volume 28, Issue 2 , 2006 , Pages 122-133 ; 13504533 (ISSN) Mohammadi, H ; Ahmadian, M. T ; Wan, W. K ; Sharif University of Technology
    2006
    Abstract
    Background and aims of the study: Mechanical heart valves (MHV) are widely used to replace dysfunctional and failed heart valves. The bileaflet MHV design is very popular due to its superior hemodynamics. Since their introduction in 1977, the hemodynamics of bileaflet prostheses has been extensively studied. In this study the dynamic behaviour during the closing phase of a bileaflet MHV under normal physiological conditions has been investigated. Methods: Fluid analysis is based on the control volume with moving boundaries in the vicinity of the occluder. Unsteady continuity equation, unsteady momentum equation on the control volume and unsteady Bernoulli's equation have been used to... 

    Intelligent control of powered exoskeleton to assist paraplegic patients mobility using hybrid neuro-fuzzy ANFIS approach

    , Article 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006, Kunming, 17 December 2006 through 20 December 2006 ; 2006 , Pages 733-738 ; 1424405718 (ISBN); 9781424405718 (ISBN) Ghafari, A. S ; Meghdari, A ; Vossoughi, G. R ; Sharif University of Technology
    2006
    Abstract
    Integrating humans and robotics technology into one system offers multiple opportunities for creating assistive technologies that can be employed in biomechanical, industrial, and aerospace applications. The present study deals with employing the adaptive neuro-fuzzy inference system (ANFIS) approach in rule base derivation for powered exoskeleton intelligent control to assist paraplegic patient mobility. By employing the hybrid learning algorithm, optimal distributed membership functions to describe the mapping relation in the input and output parameters of the gait cycle were derived. As the proposed control strategy was unaffected by changing human dynamics, the reliability and robustness... 

    The tolerance level of the ecosystem as a limited constrain in the development planning

    , Article Ecological Indicators ; Volume 132 , 2021 ; 1470160X (ISSN) Bararzadeh Ledari, M ; Saboohi, Y ; Azamian, S ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    There are several methods for assessing ecosystem tolerance level, each method is defined according to the target of the ecosystem development. This paper seeks a way to plan for the development of the existing ecosystems modified for human activities. For this purpose, two methods have been applied to assess the effects of local development on the local ecosystem tailored to the different demands. Thus, after gathering data in a coastal region all technologies being capable to be applied in this region regarding ecotourism development (population growth) were determined. Via different indicators, the quality of the ecosystem was evaluated. The Ecosystem Quality Index (EQI) and Technique for... 

    WLFS: Weighted label fusion learning framework for glioma tumor segmentation in brain MRI

    , Article Biomedical Signal Processing and Control ; Volume 68 , 2021 ; 17468094 (ISSN) Barzegar, Z ; Jamzad, M ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    Glioma is a common type of tumor that develops in the brain. Due to many differences in the shape and appearance, accurate segmentation of glioma for identifying all parts of the tumor and its surrounding tissues in cancer detection is a challenging task in cancer detection. In recent researches, the combination of atlas-based segmentation and machine learning methods have presented superior performance over other automatic brain MRI segmentation algorithms. To overcome the side effects of limited existing information on atlas-based segmentation, and the long training and the time consuming phase of learning methods, we proposed a semi-supervised learning framework by introducing a... 

    Multifunctional conductive biomaterials as promising platforms for cardiac tissue engineering

    , Article ACS Biomaterials Science and Engineering ; Volume 7, Issue 1 , 2021 , Pages 55-82 ; 23739878 (ISSN) Mousavi, A ; Vahdat, S ; Baheiraei, N ; Razavi, M ; Norahan, M. H ; Baharvand, H ; Sharif University of Technology
    American Chemical Society  2021
    Abstract
    Adult cardiomyocytes are terminally differentiated cells that result in minimal intrinsic potential for the heart to self-regenerate. The introduction of novel approaches in cardiac tissue engineering aims to repair damages from cardiovascular diseases. Recently, conductive biomaterials such as carbon- and gold-based nanomaterials, conductive polymers, and ceramics that have outstanding electrical conductivity, acceptable mechanical properties, and promoted cell-cell signaling transduction have attracted attention for use in cardiac tissue engineering. Nevertheless, comprehensive classification of conductive biomaterials from the perspective of cardiac cell function is a subject for... 

    The biomechanical response of the lower cervical spine post laminectomy: geometrically-parametric patient-specific finite element analyses

    , Article Journal of Medical and Biological Engineering ; Volume 41, Issue 1 , 2021 , Pages 59-70 ; 16090985 (ISSN) Nikkhoo, M ; Cheng, C. H ; Wang, J. L ; Niu, C. C ; Parnianpour, M ; Khalaf, K ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Purpose: This study aimed to investigate the biomechanical impact of laminectomy on cervical intersegmental motion and load sharing using a parametric patient-specific finite element (FE) model towards providing clinicians with a viable quantitative tool for informed decision-making and improved surgical planning. Methods: Ten subject-specific nonlinear osteo-ligamentous cervical spine (C3–C7) FE models were developed using X-ray image-based algorithms. The models were used to evaluate the effect of laminectomy on lower cervical spine biomechanics for two-level (C3–C4) and three-level (C3–C5) laminectomy procedures. Results: The average cervical spine ranges of motion (ROM) for the pre-op... 

    Ensemble multi-modal brain source localization using theory of evidence

    , Article Biomedical Signal Processing and Control ; Volume 69 , 2021 ; 17468094 (ISSN) Oliaiee, A ; Hajipour Sardouie, S ; Shamsollahi, M. B ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    The primary aim in pre-surgical evaluations in patients with neurological disorders such as epilepsy is determining the precise location of the cortical region responsible for the malfunctions which is called source localization. Different modalities unravel different views of brain activity. Combining these complementary aspects of the brain yields more accurate source localization. In this paper, a method is proposed for combining localization methods in different modalities based on the theory of evidence, the result of some localization methods in modalities are integrated using weights in accordance to their relative performance and are combined using Dempster's rule of combination and... 

    A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset

    , Article Biomedical Signal Processing and Control ; Volume 68 , 2021 ; 17468094 (ISSN) Rahimzadeh, M ; Attar, A ; Sakhaei, S. M ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    This paper aims to propose a high-speed and accurate fully-automated method to detect COVID-19 from the patient's chest CT scan images. We introduce a new dataset that contains 48,260 CT scan images from 282 normal persons and 15,589 images from 95 patients with COVID-19 infections. At the first stage, this system runs our proposed image processing algorithm that analyzes the view of the lung to discard those CT images that inside the lung is not properly visible in them. This action helps to reduce the processing time and false detections. At the next stage, we introduce a novel architecture for improving the classification accuracy of convolutional networks on images containing small... 

    Abnormal expression of NF-κB-related transcripts in blood of patients with inflammatory peripheral nerve disorders

    , Article Metabolic Brain Disease ; Volume 36, Issue 8 , 2021 , Pages 2369-2376 ; 08857490 (ISSN) Azimi, T ; Ghafouri Fard, S ; Badrlou, E ; Omrani, D ; Nazer, N ; Sayad, A ; Taheri, M ; Sharif University of Technology
    Springer  2021
    Abstract
    The NF-κB family includes some transcription factors which have important functions in the regulation of immune responses, therefore participating in the pathophysiology of inflammatory conditions such as peripheral neuropathies. We have quantified expression of a number of NF-κB-related transcripts in patients with Guillain-Barré syndrome (GBS) or chronic inflammatory demyelinating polyneuropathy (CIDP) versus healthy subjects. These transcripts have been previously shown to be functionally related with this family of transcription factors. Expressions of ATG5, DICER-AS1, PACER, DILC, NKILA and ADINR have been increased in both CIDP and GBS patients compared with controls. However,... 

    Coordination variability during walking and running in individuals with and without patellofemoral pain part 1: lower limb intersegmental coordination variability

    , Article Journal of Medical and Biological Engineering ; Volume 41, Issue 3 , 2021 , Pages 295-304 ; 16090985 (ISSN) Haghighat, F ; Rezaie, M ; Ebrahimi, S ; Shokouhyan, S. M ; Motealleh, A ; Parnianpour, M ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Purpose: Although it has been proposed that individuals with patellofemoral pain show less lower limb intersegmental coordination variability, the evidence to support this hypothesis is rare. The purpose of this study was, therefore, to evaluate whether individuals with patellofemoral pain exhibit less intersegmental coordination variability compared with healthy individuals during walking and running. Also, it was hypothesized that increasing task demand would exacerbate group differences regarding coordination variability measures. Methods: Three-dimensional kinematics were collected while 17 females with patellofemoral pain and 17 healthy females walked at preferred speed, and ran at... 

    Sol-gel-based solid-phase microextraction and gas chromatography-mass spectrometry determination of dextromethorphan and dextrorphan in human plasma

    , Article Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences ; Volume 818, Issue 2 , 2005 , Pages 147-157 ; 15700232 (ISSN) Bagheri, H ; Eshaghi, A ; Rouini, M. R ; Sharif University of Technology
    2005
    Abstract
    A novel solid-phase microextraction (SPME) method was developed for isolation of dextromethorphan (DM) and its main metabolite dextrorphan (DP) from human plasma followed by GC-MS determination. Three different polymers, poly(dimethylsiloxane) (PDMS), poly(ethylenepropyleneglycol) monobutyl ether (Ucon) and polyethylene glycol (PEG) were synthesized as coated fibers using sol-gel methodologies. DP was converted to its acetyl-derivative prior to extraction and subsequent determination. The porosity of coated fibers was examined by SEM technique. Effects of different parameters such as fiber coating type, extraction mode, agitation method, sample volume, extraction time, and desorption... 

    Apathy exacerbates postural control impairments in stroke survivors: The potential effects of cognitive dual-task for improving postural control

    , Article Neuropsychologia ; Volume 174 , 2022 ; 00283932 (ISSN) Dehmiyani, A ; Mehdizadeh, H ; Azad, A ; Cheraghifard, M ; Jamali, S ; Davoudi, M ; Shokouhyan, S. M ; Taghizadeh, G ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Apathy is a stressor and debilitating common condition for both stroke survivors and their caregivers. However, its effects on the postural control of these patients have not yet been investigated. Improved postural stability through withdrawing attention from postural control by concurrent cognitive task (i.e. dual-task condition) has been reported previously, but the effect of apathy, as a confounding factor, remains unknown. This study aimed to examine the effects of apathy and dual-task condition on postural control of chronic stroke survivors from biomechanical and neurophysiological perspectives. Twenty non-apathetic stroke survivors, 20 apathetic stroke survivors, and 20 sex-, age-,... 

    Customizing nano-chitosan for sustainable drug delivery

    , Article Journal of Controlled Release ; Volume 350 , 2022 , Pages 175-192 ; 01683659 (ISSN) Saeedi, M ; Vahidi, O ; Moghbeli, M ; Ahmadi, S ; Asadnia, M ; Akhavan, O ; Seidi, F ; Rabiee, M ; Saeb, M. R ; Webster, T. J ; Varma, R. S ; Sharifi, E ; Zarrabi, A ; Rabiee, N ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Chitosan is a natural polymer with acceptable biocompatibility, biodegradability, and mechanical stability; hence, it has been widely appraised for drug and gene delivery applications. However, there has been no comprehensive assessment to tailor-make chitosan cross-linkers of various types and functionalities as well as complex chitosan-based semi- and full-interpenetrating networks for drug delivery systems (DDSs). Herein, various fabrication methods developed for chitosan hydrogels are deliberated, including chitosan crosslinking with and without diverse cross-linkers. Tripolyphosphate, genipin and multi-functional aldehydes, carboxylic acids, and epoxides are common cross-linkers used in... 

    Additive manufacturing of bioactive glass biomaterials

    , Article Methods ; Volume 208 , 2022 , Pages 75-91 ; 10462023 (ISSN) Simorgh, S ; Alasvand, N ; Khodadadi, M ; Ghobadi, F ; Malekzadeh Kebria, M ; Brouki Milan, P ; Kargozar, S ; Baino, F ; Mobasheri, A ; Mozafari, M ; Sharif University of Technology
    Academic Press Inc  2022
    Abstract
    Tissue engineering (TE) and regenerative medicine have held great promises for the repair and regeneration of damaged tissues and organs. Additive manufacturing has recently appeared as a versatile technology in TE strategies that enables the production of objects through layered printing. By applying 3D printing and bioprinting, it is now possible to make tissue-engineered constructs according to desired thickness, shape, and size that resemble the native structure of lost tissues. Up to now, several organic and inorganic materials were used as raw materials for 3D printing; bioactive glasses (BGs) are among the most hopeful substances regarding their excellent properties (e.g., bioactivity... 

    Novel force–displacement control passive finite element models of the spine to simulate intact and pathological conditions; comparisons with traditional passive and detailed musculoskeletal models

    , Article Journal of Biomechanics ; Volume 141 , 2022 ; 00219290 (ISSN) Abbasi-Ghiri, A ; Ebrahimkhani, M ; Arjmand, N ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Passive finite element (FE) models of the spine are commonly used to simulate intact and various pre- and postoperative pathological conditions. Being devoid of muscles, these traditional models are driven by simplistic loading scenarios, e.g., a constant moment and compressive follower load (FL) that do not properly mimic the complex in vivo loading condition under muscle exertions. We aim to develop novel passive FE models that are driven by more realistic yet simple loading scenarios, i.e., in vivo vertebral rotations and pathological-condition dependent FLs (estimated based on detailed musculoskeletal finite element (MS-FE) models). In these novel force–displacement control FE models,... 

    Polymer/metal composite 3D porous bone tissue engineering scaffolds fabricated by additive manufacturing techniques: A review

    , Article Bioprinting ; Volume 25 , 2022 ; 24058866 (ISSN) Mohammadi Zerankeshi, M ; Bakhshi, R ; Alizadeh, R ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The employment of tissue engineering scaffolds in the reconstruction of the damaged bone tissues has shown remarkable promise since they significantly facilitate the healing process. Fabrication of highly porous biocompatible scaffolds with sufficient mechanical strength is still challenging. In this regard, polymers have been widely utilized to construct three-dimensional (3D) porous scaffolds due to their excellent processability and biocompatibility. However, insufficient mechanical strength and inappropriate degradation rate of the monophasic polymer scaffolds in the bone regeneration process, as the main challenges, limit their extensive clinical application. The incorporation of... 

    Some natural hypomethylating agents in food, water and environment are against distribution and risks of COVID-19 pandemic: Results of a big-data research

    , Article Avicenna Journal of Phytomedicine ; Volume 12, Issue 3 , 2022 , Pages 309-324 ; 22287930 (ISSN) Besharati, M. R ; Izadi, M ; Talebpour, A ; Sharif University of Technology
    Mashhad University of Medical Sciences  2022
    Abstract
    Objective: This study analyzes the effects of lifestyle, nutrition, and diets on the status and risks of apparent (symptomatic) COVID-19 infection in Iranian families. Materials and Methods: A relatively extensive questionnaire survey was conducted on more than 20,000 Iranian families (residing in more than 1000 different urban and rural areas in the Islamic Republic of Iran) to collect the big data of COVID-19 and develop a lifestyle dataset. The collected big data included the records of lifestyle effects (e.g. nutrition, water consumption resources, physical exercise, smoking, age, gender, health and disease factors, etc.) on the status of COVID-19 infection in families (i.e. residents of... 

    Synthesis and cytotoxicity assessment of superparamagnetic iron-gold core-shell nanoparticles coated with polyglycerol

    , Article Journal of Colloid and Interface Science ; Volume 345, Issue 1 , 2010 , Pages 64-71 ; 00219797 (ISSN) Jafari, T ; Simchi, A ; Khakpash, N ; Sharif University of Technology
    Abstract
    Core-shell iron-gold (Fe@Au) nanoparticles were synthesized by a facile reverse micelle procedure and the effect of water to surfactant molar ratio (w) on the size, size distribution and magnetic properties of the nanoparticles was studied. MTT assay was utilized to evaluate the cell toxicity of the nanoparticles. To functionalize the particles for MRI imaging and targeted drug delivery, the particles were coated by polyglycerol through capping with thiol followed by polymerization of glycidol. The characteristics of the particles were examined by X-ray diffraction (XRD), transmission electron microscopy (TEM), vibrating sample magnetometere (VSM), UV-visible spectroscopy, and Fourier...