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Empirical Mode Decomposition (EMD) is a very powerful, signal dependent algorithm which decomposes signals as a set of Intrinsic Mode Functions (IMFs). The focus of this paper is on improving Signal to Noise Ratio (SNR) of noise contaminated Electrocardiogram (ECG) signal by applying a modified version of the Ensemble Empirical Mode Decomposition (EEMD) method. This method is utilized on synchronized...
The Modeling of the behavior of biological systems, together with their responses to various internal and external stimuli plays a paramount role in accurate perception, analysis, control and prediction of their behaviors. Every Biological system is an extremely complex nonlinear system. This characteristic is the consequence of the complicated interactions within various components of the system...
In this study we investigated a nonlinear and a traditional time domain technique to analyze postural control of a balance motion in Wushu. For this goal we implemented fractal dimension analysis as the nonlinear method by using Higuchi algorithm which calculate fractal dimension directly from time series of movement of center of pressure in two directions of anterior/posterior and medial/lateral...
Addiction is a chronic disorder whereby addicted individuals compulsively engage in drug seeking despite its negative consequences. Hippocampus has unavoidable role in addiction because of its importance in learning and memory. Any modification of hippocampal cells alters dopamine levels in NAc and firing rates of VTA dopaminergic cells. In order to have a better understanding of the addiction in...
Attention is amongst the high level cognitive task which is associated with complex process in the brain. But in almost all researches, this process is associated with a secondary task, (like numeration). Some believe that the link between these two cognitive activities (i.e. attention and numeration) in human brain is very close and intricate. However, the goal of this research is to evaluate the...
In this paper we implement state of the art factor analysis based methods and fused their scores to gain a channel robust speaker recognition system. These two methods are joint factor analysis (JFA) and i-Vector which define low-dimensional speaker and channel dependent spaces. For score fusion we propose a simple weight computation without training step. We experiment our method on two conditions;...
This research aims at investigating the relationship between Electroencephalogram (EEG) signals and human emotional states. A subject-independent emotion recognition system is proposed using EEG signals collected during emotional audio-visual inductions to classify different classes of continuous valence-arousal model. First, four feature extraction methods based on Approximate Entropy, Spectral entropy,...
Accurate breast MRI segmentation is an important processing step in Computer Aided Diagnosis (CAD) systems and breast density assessment. Most of the atlas-based breast segmentation methods employ breast area as the template. Instead, we use both pectoral muscle and chest region model as the template, because there is great variability in breast shape and signal intensity. Pectoral muscle and chest...
In this study a modular control approach is used to provide target following ability for a patient eye suffering from downbeat nystagmus. To perform the task successfully, it is proposed to exploit the benefits of modular strategies. Therefore, vertical eye movements are decomposed to two distinct upward and downward motions, and the controller tries to dedicate each of them to one distinct module...
For data transmission from the Implantable Biomedicai Microsystems (IBM) to outside the body by Pulse Harmonic Modulation (PHM), two narrow pulses with appropriate timing are used so as to increase the data rate and decrease the InterSymbol Interference (ISI). In this paper, a new structure based on clock width modification and its edge detection has been designed to generate pulses. To control the...
This paper provides a new method of using precise and low-cost measurement apparatus for profile scanning of micron scale surfaces and optimistically will be of great use in bio medical engineering applications. The main part of this instrument is an optical pickup head used in DVD drivers consisting of a laser diode source and some optical components gathering in a package together. The most essential...
In this study a new method is proposed for quantification of cardiac muscle motions in echocardiography frames based on empirical mode decomposition (EMD) and manifold learning method. EMD algorithm is able to extract intrinsic mode functions (IMF) from a signal. In the first bi-dimension intrinsic mode functions (BIMF) of echocardiography frames myocardial is shown with more details than the second...
Image processing softwares, like all softwares, need to be both verified and validated. Synthetic images are very useful during the medical software development process to verify the accuracy of algorithms. In this paper we introduce the process of generating synthetic 2D medical X-ray images in addition to ground truth imaging parameters. First, a 3D model of an organ (e.g., vessels) is made in a...
Epilepsy is a brain disorder that 1% of people population are suffering from. One of the proper non-invasive equipment for diagnosis and analysis of this disease is electroencephalogram (EEG) recordings. However, EEG signals are often contaminated with noises and artifacts that hide epileptic signals of interest. Independent Component Analysis (ICA) is a common Blind Source Separation (BSS) method...
Lumen formation is the key event in vascular morphogenic events. Acquiring lumenal compartment in endothelial cells (EC) depends on mechanical and biochemical signals that EC receive from its environment. In this article, a mu I ti sta lo cell based model is developed to simulate lumen formation and development in a single EC. In cellular scale, cellular Pott's model is used for EC growth and interaction...
Breast density is considered as an important risk factor associated with the development of breast cancer. Breast and fibroglandular tissue segmentation is the main step to compute breast density in Magnetic Resonance Imaging (MRI). This study presents an automatic algorithm to segment breast and fibroglandular tissue in MRI. It is a difficult task due to bias field and similar signal intensity between...
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