Hamid Reza Marateb

Hamid Reza Marateb
University of Isfahan · Department of Biomedical Engineering

PhD

About

100
Publications
25,357
Reads
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1,530
Citations
Additional affiliations
November 2015 - present
Universitat Politècnica de Catalunya
Position
  • Research member
Description
  • https://bioart.upc.edu/en/staff
June 2014 - September 2014
Universitat Politècnica de Catalunya
Position
  • Professor
August 2011 - present
University of Isfahan
Position
  • Faculty Member
Description
  • http://eng.ui.ac.ir/~h.marateb
Education
January 2008 - December 2010
Politecnico di Torino
Field of study
  • Biomedical Engineering
October 2000 - July 2003
Amirkabir University of Technology
Field of study
  • Biomedical Engineering
September 1996 - September 2000
Shahid Beheshti University of Medical Sciences
Field of study
  • Biomedical Engineering

Publications

Publications (100)
Article
Objective: 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 potentials, and we test it on intramuscular EMG (iEMG) and intracortical recordings. Methods: Discrete-time shifts of the involv...
Article
Full-text available
The 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 density (TMD), the entropy of density, and the trimmed mean absolute value of derivative density were computed for each sEMG cha...
Article
Background : This study aims to provide a comprehensive risk-assessment model including lifestyle, psychological parameters, and traditional risk factors to determine the risk of major adverse cardiovascular events (MACE) in patients with the first acute ST-segment elevation myocardial infarction (STEMI) episode. Methods : Patients were recruited...
Poster
Full-text available
https://www.mdpi.com/journal/diagnostics/special_issues/COVID_risk_assessment
Chapter
Brain-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 pattern recognition to identify certain movement classes. MI-BCI could be used to enhance the life quality of physically impaired...
Preprint
Full-text available
Prosthetic hands can be used to support upper-body amputees. Myoelectric prosthesis, one of the externally-powered active prosthesis categories, requires proper processing units in addition to recording electrodes and instrumentation amplifiers. In this paper, the following myoelectric prosthesis control methods were discussed in detail: On-off and...
Article
Full-text available
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the underlying mechanisms have not yet been comprehensively understood. In this study, a systematic approach was utilized to identify the microRNA signature in DN and to introduce novel drug targets (DTs)...
Article
Full-text available
Coronavirus 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 policymaking. Reverse transcriptase-polymerase chain reaction (RT-PCR) has been performed as the operational gold standard for...
Article
A 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 the low amplitude of the FECG, the overlap of R waves, and the potential exposure to noise from different sources. Traditional d...
Article
Full-text available
Background: 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 where there are limited resources. Objective: To develop a simplified non-laboratory cardiovascular disease risk assessme...
Article
Full-text available
Identifying 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 risk factors and psychiatric symptoms, defined based on the Persian version of the WHO-GSHS questionnaire in a developing country....
Article
Full-text available
Background 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 within hospitals. From the statistical point of view, extended time-to-event models are required to account for competing risk...
Preprint
Background: Already at the time of 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 within hospitals. From the statistical point of view, extended time-to-event models are required to account for c...
Article
Full-text available
The World Health Organization (WHO) suggests that mental disorders, neurological disorders, and suicide are growing causes of morbidity. Depressive disorders, schizophrenia, bipolar disorder, Alzheimer’s disease, and other dementias account for 1.84%, 0.60%, 0.33%, and 1.00% of total Disability Adjusted Life Years (DALYs). Furthermore, suicide, the...
Article
It is necessary to decompose the intra-muscular EMG signal to extract motor unit action potential (MUAP) waveforms and firing times. Some algorithms were proposed in the literature to resolve superimposed MUAPs, including Peel-Off (PO), branch and bound (BB), genetic algorithm (GA), and particle swarm optimization (PSO). This study aimed to compare...
Article
Brain-computer interfaces based on code-modulated visual evoked potentials provide high information transfer rates, which make them promising alternative communication tools. Circular shifts of a binary sequence are used as the flickering pattern of several visual stimuli, where the minimum correlation between them is critical for recognizing the t...
Chapter
In chapter 17 the reliability of a diagnosis system for medical doctors, its proper comparison with the state-of-the-art, avoiding incorrect interpretation and the reporting of proper performance indices are linked with pattern recognition, and the typical biostatistics are also characterized.
Preprint
Full-text available
Early diagnosis of psychiatric disorders among children can reduce the risk of adverse psychosocial outcomes in adulthood. We aimed to design a computer-aided screening tool to examine the association between modifiable risk factors and psychiatric disorders in a developing country. Ten thousand three hundred fifty students, aged 6–18 years from al...
Preprint
Full-text available
Researchers have widely used extracellular recordings as a technique of paramount importance due to its wide usage in cognitive studies, health technologies, and prosthetics and orthotics research. To extract the required information from this technique, a critical and crucial step, called spike sorting, must be performed on the recorded signal. By...
Preprint
Full-text available
Non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from maternal ECG (MECG) is a challenging problem due to the low amplitude of FECG, the overlap of R waves, and the potential exposure to noise from different sources. Traditional decomposition techniques, such as adap...
Article
Full-text available
This 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 performed four different isometric tasks at different effort levels associated with movements of the forearm. Three 2-D electrode...
Article
Full-text available
The 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 zone to analyze the serial findings between infected patients for detecting temporal changes from February 2020. In a hospital-b...
Article
Full-text available
In the early months of the COVID-19 pandemic with no designated cure or vaccine, the only way to break the infection chain is self-isolation and maintaining the physical distancing. In this article, we present a potential application of the Internet of Things (IoT) in healthcare and physical distance monitoring for pandemic situations. The proposed...
Preprint
Full-text available
47 The COVID-19 is rapidly scattering worldwide, and the number of cases in the 48 Eastern Mediterranean Region is rising. Thus, there is a need for immediate targeted 49
Article
Full-text available
Background: 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 relationships between different CVD risk factors. Methods: A longitudinal data on adults aged ≥35 years, who were free of CVD at bas...
Article
Background: Diabetes mellitus (DM) is a chronic disease that affects public health. The prediction of blood glucose concentration (BGC) is essential to improve the therapy of type 1 DM (T1DM). Methods: Having considered the risk of hyper- and hypo-glycemia, we provide a new hybrid modeling approach for BGC prediction based on a dynamic wavelet n...
Preprint
Full-text available
Background An extensive study on cardiovascular risk factors interaction seems to be of crucial importance in order to prevent cardiovascular (CVD) events. The main focus of this study is understanding direct and indirect relationships between different CVDs risk factors. Methods A longitudinal data on adults aged ≥ 35 years, who were free of CVD...
Preprint
Full-text available
Background: 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 relationships between different CVD risk factors. Methods: A longitudinal data on adults aged ≥35 years, who were free of CVD at baseli...
Preprint
Full-text available
Background The validity of Rome III criteria for diagnosing functional gastrointestinal disorders (FGIDs) have been frequently questioned in the literature. In epidemiology, when a disease is diagnosed, the existence of a true cluster must be proven. Thus, clustering the common GI symptoms of individuals and comparing the clusters with FGIDs define...
Preprint
Full-text available
The COVID-19 is rapidly scattering worldwide, and the number of cases in the Eastern Mediterranean Region is rising, there is a need for immediate targeted actions. We designed a longitudinal study in a hot outbreak zone to analyze the serial findings between infected patients for detecting temporal changes from February 2020. In a hospital-based o...
Article
Full-text available
Aim 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 data, leading to desired precisions. In this paper, we proposed a new FWNN model nominated “Fuzzy Jump Wavelet Neural Network” (FJ...
Article
Objective To assess agreement between established methods of estimating salt intake from spot urine collections and 24 h urinary Na (24hUNa) and then to develop a valid formula that can be used in the Iranian population to estimate salt intake from spot urine samples. Design A validation study. Three spot urine samples were collected (fasting seco...
Article
Full-text available
Despite 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 pool behavior. This assessment is non-trivial and should be used with precaution. Direct analysis of neural codes by decomposi...
Article
Full-text available
Introduction: Brain Computer Interface (BCI) systems can provide communication between a human brain and external devices. BCI systems based on SSVEP are widely used in recent decades. Different feature extraction methods have been introduced in the literature to estimate SSVEP responses for BCI applications. Methods: In this study the new algorith...
Article
Full-text available
A lot of efforts have been made to understand the structure and function of neocortical circuits. In fact, a promising way to understand the functions of cortical circuits is the classification of the neural types, based on their different properties. Recent studies focused on applying modern computational methods to classify neurons based on molec...
Article
Full-text available
Background In this paper, we propose a nonlinear minimally supervised method based on autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the state-of-the-art (SOA) control scheme using a Fitts’ law approach. Methods Seven able-bodied subjects performed a series of target acquisition myoelectric control tasks using the...
Data
The performance assessment of the proposed framework on different datasets.
Data
The interpretation of the reference intervals of the performance indices used in this study.
Article
Dyslipidemia, the disorder of lipoprotein metabolism resulting in high lipid profile, is an important modifiable risk factor for coronary heart diseases (CHDs). It is associated with more than four million worldwide deaths per year. Half of the children with dyslipidemia have hyperlipidemia during adulthood, and its prediction and screening are thu...
Article
Background and objective Cochlear implants (CIs) are electronic devices restoring partial hearing to deaf individuals with profound hearing loss. In this paper, a new plug-in for traditional IIR filter-banks (FBs) is presented for cochlear implants based on wavelet neural networks (WNNs). Having provided such a plug-in for commercially available CI...
Article
Full-text available
This 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 programs. The Isfahan Cohort Study (ICS) is a population-based prospective study of 6504 Iranian adults ≥35 years old, followed-up...
Article
Full-text available
Background In this study, we aimed to determine comprehensive maternal characteristics associated with birth weight using Bayesian modeling. Materials and Methods A total of 526 participants were included in this prospective study. Nutritional status, supplement consumption during the pregnancy, demographic and socioeconomic characteristics, anthr...
Article
Full-text available
Background: 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 from 27 provinces in Iran. Logic regression approach was used to determine the main effects and interactions of polymorphis...
Article
Full-text available
Estimation 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 electromyograms caused by the variations in the conductivity of the skin and/or electrodes, or physiological changes such as mus...
Article
Full-text available
Dear Editor, We read with great interest the manuscript of Bossuyt, et. al, [1] regarding the STARD 2015 and its updates [2]. We also believe that diagnostic accuracy studies are prone to bias in cases of methodological deficiency and improper statistical analysis. Thus, it is indeed necessary to introduce a general and extensive standard to reduc...
Article
The 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 voluntary commands in neural interfaces in patients with limb amputations. This paper proposes for the first time an innovative m...
Article
Full-text available
Knowledge 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 episiotomy during child delivery. Surface EMG (sEMG) can be noninvasively recorded to assess physiological and morphological charac...
Data
Image segmentation using kernel Graph-Cut. (PDF)
Data
The input features (risk factor) used in the proposed breast cancer recurrence prediction system along with their definition and references.