Mohammad Pooyan

In this paper we introduce an effective ECG compression algorithm based on two dimensional multi-wavelet transform. Multi-wavelets offer simultaneous orthogonality, symmetry and short support, which is not possible with scalar two-channel wavelet systems. These features are known to be important in signal processing. Thus multiwavelet offers the possibility of superior performance for image processing applications. The SPIHT algorithm has achieved notable success in still image coding. We suggested applying SPIHT algorithm to 2-D multi-wavelet transform of 2-D arranged ECG signals. Experiments on selected records of ECG from MIT-BIH arrhythmia database revealed that the proposed algorithm is significantly more efficient in comparison with previously proposed ECG compression schemes.

Assessment of cardiac right-ventricle functions plays an essential role in diagnosis of arrhythmogenic right ventricular dysplasia (ARVD). Among clinical tests, cardiac magnetic resonance imaging (MRI) is now becoming the most valid imaging technique to diagnose ARVD. Fatty infiltration of the right ventricular free wall can be visible on cardiac MRI. Finding right-ventricle functional parameters from cardiac MRI images contains segmentation of right-ventricle in each slice of end diastole and end systole phases of cardiac cycle and calculation of end diastolic and end systolic volume and furthermore other functional parameters. The main problem of this task is the segmentation part. We used a robust method based on deformable model that uses shape information for segmentation of right-ventricle in short axis MRI images. After segmentation of right-ventricle from base to apex in end diastole and end systole phases of cardiac cycle, volume of right-ventricle in these phases calculate...

Distribution network reconfiguration (DNR) is a crucial issue in the operating horizon of distribution systems. In distribution networks tie switches will be changed to obtain an appropriate network configuration with minimum losses. Distribution networks have hundreds of switches and determining the best status of switches is a complicated combinatorial, non-differentiable constrained optimization problem, which can be solved using heuristic optimization

Investigations show that millions of people all around the world die as the result of sudden cardiac death (SCD), each year. These deaths can be reduced by using medical equipments such as defibrillators. However, there are no suitable ways to predict sudden cardiac death, if there exist; doctors can take good decisions for patients at risk. In this paper, we investigated a way to predict sudden cardiac death. To do this, after extraction of the HRV signal from ECG signal, some linear, time-frequency (TF) and non-linear features have been extracted from HRV signal. Then, the dimension of features space reduced by applying feature selection and finally, healthy people and people at risk of SCD, are classified by kNN (k Nearest Neighbor) and MLP (Multilayer Perceptron) neural network. To evaluate the capabilities of analytical methods in classification , we have compared the classification rates for both separate and combined nonlinear and TF features. The results show that there are ...

Assessment of cardiac right-ventricle functions plays an essential role in diagnosis of arrhythmogenic right ventricular dysplasia (ARVD). Among clinical tests, cardiac magnetic resonance imaging (MRI) is now becoming the most valid imaging technique to diagnose ARVD. Fatty infiltration of the right ventricular free wall can be visible on cardiac MRI. Finding right-ventricle functional parameters from cardiac MRI images contains segmentation of right-ventricle in each slice of end diastole and end systole phases of cardiac cycle and calculation of end diastolic and end systolic volume and furthermore other functional parameters. The main problem of this task is the segmentation part. We used a robust method based on deformable model that uses shape information for segmentation of right-ventricle in short axis MRI images. After segmentation of right-ventricle from base to apex in end diastole and end systole phases of cardiac cycle, volume of right-ventricle in these phases calculate...

This paper presents a novel audio watermarking scheme based on echo hiding technique. This method is different from conventional echo hiding methods which embed only one bit in each audio section. In this method by using different echo delays we can embed more than one bit in each audio sections. For enhancing robustness of proposed algorithm against various types of

Abstract As CMOS technology scales down into the deep submicron (DSM) domain, devices and interconnects are subject to new types of malfunctions and failures that are harder to predict and avoid with the current system-on-chip (SoC) design methodologies. In this ...

In this paper a highly tunable electronically resistor is presented. Its current-voltage characteristics can be positive, negative, linear and nonlinear. Current-voltage characteristics of the circuit have zero DC offset. Dynamic range of the proposed electronically tunable resistor is ±1V and supply voltage is ±1V, too. The designed circuit is simulated in an industrial 65nm CMOS process. The linear version is

I. INTRODUCTION In recent years, medical CT image has been applied in clinical diagnosis widely. It can assist physicians to detect and locate pathological changes, and determine the property (benign or malignant) of the pathological changes. But the diagnosis result is ...

... and Spatial Information on Ultrasound Images Mostafa Ghelich Oghli, Alireza Fallahi, Mohammad Pooyan Biomedical Engineering Department Shahed University Tehran,Iran m.g31_mesu@yahoo. com, afallahi@shahed.ac.ir, pooyan@shahed.ac.ir ... 1 1 2 )),(( i j jip J (2) ...

... The highest OCR accuracy (with only one character error on the training set) is obtained by setting gamma (related to the RBF radius) to ... 5] M. Sarfraz, MJ Ahmed, and SA Ghazi, “Saudi Arabian License Plate Recognition System” , Proc. ... 6] M J. Ahmed, M Sarfaz, A. Zidouri, and K ...

ABSTRACT In this paper, a novel audio steganography method is proposed. In this algorithm, first embedding threshold in the time domain is estimated. Then this threshold is used for data concealment in the time domain. The performance of the proposed scheme in terms of SNR (signal to noise ratio) and BER (bit error rate) is analyzed. An estimation formula that connects SNR with embedding threshold has been provided to ensure the transparency of embedded data. The security of this method is enhanced by using of an encryption method prior to the data embedding step. Proposed scheme is a high velocity method because of its implementation in the temporal domain. Experimental results demonstrate that the proposed method has high payload, full and blind recovery and high audio quality.

ABSTRACT Model based segmentation is one of the best methods for segmentation of the heart in CT and MRI images. Because of basic characteristics of the heart shape, it can be represented by such models like ellipse and superellipse. Among model based methods elliptic and superelliptic methods are more computationally expensive. But when prior knowledge of the heart shape is available the parameter estimations become reliable. In this paper we propose a 3-D semi-automatic heart segmentation using transverse axis slices. The approach consists of fitting superellipse to each slice and making a 3-D superellipsoid model of the heart. We used an iterative method over a set of given data as partial data. Moreover partial data for obtaining prior knowledge of the heart shape are used that makes our method computationally less expensive. Results show that the addition of partial data increase robustness of a fitting. Also this method can segment hidden parts of heart in transverse axis CT images.

... transparency. The security of this method is enhanced scenario the covert data is first concealed within using a pseudo-noise sequence which is applied for ... It causes the existence of the 2. Wavelet Transform covert data and even itstransmissionbecomes hidden. ...

W. Yu and EN Sanchez (Eds.): Advances in Computational Intell., AISC 61, pp. 379–385. springerlink.com © Springer-Verlag Berlin Heidelberg 2009 ... A Novel Automatic Method on Diagnosing Movement ... Masood Banaie1, Mohammad Mikaili2, and Mohammad Pooyan2

Abstract Electroencephalography (EEG) analysis by physicians is intricate, time consuming and needs to experience. Therefore automated systems for EEG analysis and classification are able to help physician. EEG signal in the field of time is raw and complex so it's not ...

In this paper, a novel approach for facial expression is introduced by using face orientation field concept. This method is not sensitive to the obstacles such as hair, eyeglasses and surrounding illumination. The computational tools of this paper have been used in previous studies for fingerprint recognition systems. However, we have adopted them for facial expression recognition. The features which

Uterine fibroid is the most common benign tumor of the female in the world. Uterine volume measurement before and after surgery has an important role in predict and following the result of surgery. Fibroids segmentation in patient with multi fibroids is the challenging task manually. We propose tow step method for robustly segmentation of these cases. The first step results

We propose a combination of Mesh topology and Bisection routing in MPLS and IP network-on-chip which can increase Communication load with quality of service which is suitable for multimedia applications. We compare the performance of 2d-Mesh architectures in the sense of on chip network design methodology. The simulations of the architectures are done with two-dimensional Mesh topologies that used MPLS

ABSTRACT In this paper a bilateral resistive circuit is designed and presented with is work as a positive and negative electronically tunable resistor and has zero DC offset. The proposed topology is designed by paralleling two electronically tunable resistors to obtain lower resistive values and decreasing nonlinearity percent. The proposed topology is low voltage and low power and with proper transcurrent circuit, its current–voltage characteristics can be linear, expansive (square) and compressive (square root). Its supply voltages are ±1 V and its dynamic range is ±1 V too. The designed circuit is simulated in an industrial 65 nm CMOS process. The linear version is tunable over the wide resistance range of 7 kΩ–37 GΩ.