Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Distinguishing Multiple Concurrent Esophageal Motility Disorders Using High-resolution Manometry

Safa Rafieivand; Mohammad Hasan Moradi; Hosein Asl Soleimani; Zahra Momayez Sanat

Volume 17, Issue 2 , September 2023, , Pages 120-130

  Esophageal mobility disorders are a type of digestive system problem characterized by abnormal bolus movement in the esophagus. The standard diagnostic method for these kinds of disorders is High-Resolution Manometry (HRM). Despite the availability of guidelines like “Chicago” for the analysis ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Designing a Deep Fuzzy Rule-Based System for Depression Staging

Raheleh Davoodi; Mohammad Hasan Moradi

Volume 12, Issue 1 , June 2018, , Pages 25-39

  Depression is one of the most common mental disorders in the current century where early diagnosis can result in better treatment. One of the depression diagnostic methods is the analysis of the brain electrical signals. In this paper, we are seeking for a method to distinguish among the levels of the ...  Read More

Bioinformatics / Biomedical Informatics / Medical Informatics / Health Informatics
Application of Fuzzy Evidential Network as Low Birth Weight Prognosis Model

Amin Janghorbani; Mohammad Hasan Moradi

Volume 10, Issue 3 , October 2016, , Pages 197-209

  Babies are born under 2,500 g., defined as low birth weight (LBW) babies. They are exposed to the higher risks of mortality, congenital malformations, mental retardation, and other physical and neurological impairments. 15.5 % of births around the world are LBW. Reduction of the rate of LBW births to ...  Read More

Medical Instrumentation
Design an Electrical Bio-Impedance Forceps for Local Measuring Electrical Properties of Tissues Inside of the Human Body

Rasool Baghbani; Mohammad Hasan Moradi

Volume 10, Issue 2 , August 2016, , Pages 149-160

  In this paper a new idea is suggested for designing an appropriate bio-impedance sensor in the form of a biopsy forceps to measure the electrical properties of the tissues inside the body. First, by analytically solving the Laplace equation for wedge-shaped tissue in the mouth of the forceps, the relationship ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Brain Effective Connectivity Investigation With Directed Transform Function Method for Different Combination of Attention and Consciousness Based on EEG Signals

Masoumeh Rahimi; Mohammad Hasan Moradi; Farnaz Ghassemi

Volume 10, Issue 1 , May 2016, , Pages 59-68

  The aim of this paper is to study brain effective connectivity based on directed transform function (DTF) using granger causality method. This connectivity was calculated for recorded data in different states of attention and consciousness, forming four different classes: attention-consciousness, attention-unconsciousness, ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Prognosis of Acute Hypotension Episodes Using Physiological and Chaotic Features

Amin Janghorbani; Mohammad Hasan Moradi; Abdollah Arasteh

Volume 7, Issue 2 , June 2013, , Pages 163-174

  Acute hypotension episodes (AHEs) are one of the hemodynamic instabilities with high mortality rate that is frequent among many groups of patients. Prognosis of acute hypotension episodes can help clinicians to diagnose the cause of this physiological disorder and select proper treatment based on this ...  Read More

Biomedical Image Processing / Medical Image Processing
Novel Methods For Elastography of Soft Tissue Using Ultrasound Waves

Mohammad Hasan Moradi; Mohammad Sajad Manuchehri; Reza IraniRad

Volume 5, Issue 4 , June 2011, , Pages 313-331

  During the centuries, palpation has always been a crucial procedure in diagnosing the diseases. At first, these procedures were invasive, but nowadays numerous attempts by the name of elastographyhave been madeforreaching to noninvasive methods. Elastography􀂶s basic datais tissue􀂶s relative displacement ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Patient Independent Heart Beat Classification using Reconstructed Phase Space

Isar Nejadgholi; Mohammad Hasan Moradi; Fateme Abdol Ali

Volume 4, Issue 4 , June 2010, , Pages 279-292

  Many methods for automatic heartbeat classification have been applied and reported in literature, but relatively little number of them concerned with patient independent classification because of the less significant results compared to patient dependent ones. In this work, Reconstructed Phase Space ...  Read More

Biomedical Image Processing / Medical Image Processing
Active Mesh for Estimation of Local and Global Left Ventricular Function Over Cardiac Magnetic Resonance Imaging

Saeed Kermani; Hamid Abrishami Moghaddam; Mohammad Hasan Moradi

Volume 2, Issue 3 , June 2008, , Pages 215-231

  This paper presents a new method for quantification analysis of left ventricular performance from the sequences of cardiac magnetic resonance imaging using the three-dimension active mesh model (3D­AMM). AMM is composed of topology and geometry of L V and associated elastic material properties. The ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Classification of Forearm Multichannel Electromyogram Signals by a Self-Organized Neuro-Fuzzy Structure

Mohammad Hasan Moradi; Bahador Makki Abadi

Volume 2, Issue 2 , June 2008, , Pages 141-154

  Hish rate classification of Electromyogram (EMG) signals for controlling of prosthetic hands is still a hot topic among the rehabilitation research titles. Specially, when the degree of freedom in artificial hands increases, the classification rate decreases dramatically. In this paper, a new five layer ...  Read More

Biomedical Image Processing / Medical Image Processing
Speckle Noise Removal By Genetic Neuro-Fuzzy System In Sonography Images

Ali Rafiei; Mohammad Hasan Moradi; Mohammad Reza Farzaneh

Volume 1, Issue 2 , June 2007, , Pages 83-93

  A new filter was designed and approved for speckle noise removal in sonography images. In this filter, a new idea is used by using neural network learning, fuzzy information and genetic algorithm optimization. The multi-layer perceptron neural network with binary weights is used in this filter. The neighborhood ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Detection Of The Cognitive Components Of Brain Potentials Using Wavelet Coefficients

Vahid Abootalebi; Mohammad Hasan Moradi; Mohammad Ali Khalilzadeh

Volume -1, Issue 1 , June 2004, , Pages 25-45

  P300 is the most predominant cognitive component of the brain signals. In this study, the single trial event related potentials recorded from the scalp, were decomposed to their time-frequency components using discrete wavelet transform. These quantities were later analyzed as the features related to ...  Read More