Browsing by Author "Marateb, Hamid Reza"
Now showing items 1-20 of 45
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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 new force profile signal for a convex solution of muscle force estimation from electromyographic signals
(2023)
Conference report
Open AccessHigh-Density Surface Electromyography (HD-sEMG) is a non-invasive technique for measuring the electrical activity of a muscle with multiple, closely spaced electrodes. Estimation of muscle force is one of the applications ... -
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 ... -
AML-DECODER: advanced machine learning for HD-sEMG signal classification—decoding lateral epicondylitis in forearm muscles
(2024-10-10)
Article
Open AccessBackground: Innovative algorithms for wearable devices and garments are critical for diagnosing and monitoring disease (such as lateral epicondylitis (LE)) progression. LE affects individuals across various professions and ... -
An accurate and real-time method for resolving superimposed action potentials in multiunit recordings
(2023-01)
Article
Open AccessObjective : 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 ... -
Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
(2024-05-18)
Article
Open Access -
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 ... -
Correspondence on “Electrocardiographic findings and prognostic values in patients hospitalised with COVID-19 in the World Heart Federation Global Study” by Pinto-Filho et al
(2023-02-14)
Article
Open AccessThe manuscript by Martins Pinto-Filho et al., a multicentre study on the prognostic value of electrocardiographic findings, was evaluated. However, certain critical issues were highlighted. First, the authors didn't verify ... -
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 ... -
Developing non-laboratory cardiovascular risk assessment charts and validating laboratory and non-laboratory-based models
(Elsevier, 2021-09-02)
Article
Open AccessBackground: Developing simplified risk assessment model based on non-laboratory risk factors that could determine cardiovascular risk as accurately as laboratory-based one can be valuable, particularly in developing countries ... -
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 ... -
Fetal ECG extraction from maternal ECG using attention-based cycleGAN
(Institute of Electrical and Electronics Engineers (IEEE), 2022-02)
Article
Open AccessA non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from the maternal ECG (MECG) is a blind source separation problem, which is hard due to ... -
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 ... -
Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
(2023-06)
Article
Open AccessBackground Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global ...
