Browsing by Author "Marateb, Hamid Reza"
Now showing items 1-20 of 27
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A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions
(Academic Press, 2022)
Part of book or chapter of book
Restricted access - publisher's policyBrain-computer interface (BCI) aims to translate human intention into a control output signal. In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity. Such activities are then used in ... -
A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) using optimized ensemble learning
(Elsevier, 2016-12-06)
Article
Restricted access - publisher's policyCancer is a collection of diseases that involves growing abnormal cells with the potential to invade or spread tothe body. Breast cancer is the second leading cause of cancer death among women. A method for 5-year breastcancer ... -
A novel spatial feature for the identification of motor tasks using high-density electromyography
(MDPI AG, 2017-07-08)
Article
Open AccessEstimation of neuromuscular intention using electromyography (EMG) and pattern recognition is still an open problem. One of the reasons is that the pattern-recognition approach is greatly influenced by temporal changes in ... -
A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study
(Public Library of Science (PLOS), 2020-11-05)
Article
Open AccessThe COVID-19 is rapidly scattering worldwide, and the number of cases in the Eastern Mediterranean Region is rising. Thus, there is a need for immediate targeted actions. We designed a longitudinal study in a hot outbreak ... -
A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs
(Frontiers Media SA, 2023-02)
Article
Open AccessLow-volume lung injury encompasses local concentration of stresses in the vicinity of collapsed regions in heterogeneously ventilated lungs. We aimed to study the effects on ventilation and perfusion distributions of a ... -
A real-time method for decoding the neural drive to muscles using single-channel intra-muscular EMG recordings
(2017-09-01)
Article
Open AccessThe neural command from motor neurons to muscles — sometimes referred to as the neural drive to muscle — can be identified by decomposition of electromyographic (EMG) signals. This approach can be used for inferring the ... -
Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study
(2021-12-01)
Article
Open AccessBackground: Already at hospital admission, clinicians require simple tools to identify hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve resource allocation and patient management ... -
An accurate and real-time method for resolving superimposed action potentials in multiunit recordings
(2023-01)
Article
Restricted access - publisher's policyObjective : Spike sorting of muscular and neural recordings requires separating action potentials that overlap in time (superimposed action potentials (APs)). We propose a new algorithm for resolving superimposed action ... -
Automatic classification between COVID-19 and Non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings : the Khorshid COVID cohort study
(Frontiers Media SA, 2021-11-18)
Article
Open AccessCoronavirus disease-2019, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease-2019 (COVID-19) is still essential for health ... -
Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
(Nature, 2021-12-01)
Article
Open AccessIdentifying the possible factors of psychiatric symptoms among children can reduce the risk of adverse psychosocial outcomes in adulthood. We designed a classification tool to examine the association between modifiable ... -
Detection of multiple innervation zones from multi-channel surface EMG recordings with low signal-to-noise ratio using graph-cut segmentation
(Public Library of Science (PLOS), 2016-12-15)
Article
Open AccessKnowledge of the location of muscle Innervation Zones (IZs) is important in many applications, e.g. for minimizing the quantity of injected botulinum toxin for the treatment of spasticity or for deciding on the type of ... -
Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals
(Institute of Physics (IOP), 2020-09)
Part of book or chapter of book
Restricted access - publisher's policyIn this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods ... -
Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications
(Public Library of Science (PLOS), 2019-01-01)
Article
Open AccessAim Fuzzy wavelet neural network (FWNN) has proven to be a promising strategy in the identification of nonlinear systems. The network considers both global and local properties, deals with imprecision present in sensory ... -
High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans
(Nature, 2020-12)
Article
Open AccessThis paper presents a dataset of high-density surface EMG signals (HD-sEMG) designed to study patterns of sEMG spatial distribution over upper limb muscles during voluntary isometric contractions. Twelve healthy subjects ... -
Kernel density estimation of electromyographic signals and ensemble learning for highly accurate classification of a large set of hand/wrist motions
(2022-03-09)
Article
Open AccessThe performance of myoelectric control highly depends on the features extracted from surface electromyographic (sEMG) signals. We propose three new sEMG features based on the kernel density estimation. The trimmed mean of ... -
Logic regression analysis of gene polymorphisms and HDL levels in a nationally representative sample of Iranian adolescents: The CASPIAN-III study
(2017-01-01)
Article
Open AccessBackground: To investigate the associations of genetic polymorphism with high-density lipoprotein-cholesterol (HDL-C) levels in Iranian adolescents. Methods: This multicentre study was conducted on 10 - 18 year-old students ... -
Non-invasive decoding of the motoneurons: A guided source separation method based on convolution kernel compensation with clustered initial points
(2019-04-01)
Article
Open AccessDespite the progress in understanding of neural codes, the studies of the cortico-muscular coupling still largely rely on interferential electromyographic (EMG) signal or its rectification for the assessment of motor neuron ... -
Outlier detection in high-density surface electromyographic signals
(2012-01)
Article
Restricted access - publisher's policyRecently developed techniques allow the analysis of surface EMG in multiple locations over the skin surface (high-density surface electromyography, HDsEMG). The detected signal includes information from a greater ... -
PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region
(2017-12-19)
Article
Open AccessThis study was designed to develop a risk assessment chart for the clinical management and prevention of the risk of cardiovascular disease (CVD) in Iranian population, which is vital for developing national prevention ... -
Pathways leading to prevention of fatal and non-fatal cardiovascular disease: An interaction model on 15 years populationbased cohort study
(2020-09-05)
Article
Open AccessBACKGROUND: A comprehensive study on the interaction of cardiovascular disease (CVD) risk factors is critical to prevent cardiovascular events. The main focus of this study is thus to understand direct and indirect ...
