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 -2 (2005)
Volume -1 (2004)
Full Research Paper Biomedical Image Processing / Medical Image Processing
Evaluation, Analysis And Designing Of A Computer-Aided Diagnostic (Cad) System For Digital Mammograms In Iran

Nader Riahi Alam; Reza Aghaeizade Zoroofi; Masoume Giti; Arian Deldari; Alireza Ahmadian

Volume 1, Issue 3 , June 2007, Pages 157-165

  In this study, the need of a CAD system and its capabilities has been investigated and then a sample program for a mammographic CAD system proper to Iranian tropical patients was designed. In the first step, the analog mammographic images were digitized by 56 and 112 mm spatial resolution and then were ...  Read More

Full Research Paper Biomedical Image Processing / Medical Image Processing
Classification Of Cardiac Arrhythmias By Learning Vector Quantizater Network And Based On The Extracted Features From The Wavelet Transformation

Jamal Esmaeilpour; Sattar Mirzakouchaki; Jalil Seyfali Harsini; Abdorrahim Kadkhoda Mohammadi

Volume 1, Issue 3 , June 2007, Pages 167-176

  In this paper, the role of Vector Quantizer Neural Network in classification of six types of ECG signals has been investigated using the features that extracted from Daubechies6 Wavelet transformation. The six types of signals are: normal beat, left bundle branch block beat, right bundle branch block ...  Read More

Full Research Paper Biomechanics of Bone / Bone Biomechanics
Effect Of Microstructure And Mechanical Properties Of Haversian Cortical Bone On Microcrack Propagation Trajectory

Ahmad Raeisi Najafi; Ahmad Reza Arshi; Mohammad Reza Eslami; Shahriar Fariborz; Mansour Moeinzadeh

Volume 1, Issue 3 , June 2007, Pages 177-188

  A two dimensional finite element model for the human Haversian cortical bone is represented. The interstitial bone tissue, the osteons and the cement line were modeled as the matrix, the fibers and the interface, respectively. This was due to similarities between fiber-ceramic composite materials and ...  Read More

Full Research Paper Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Surface Electromyogram Signal Classification Using Higher Order Statistics

Kianoush Nazarpour; Ahmad Reza Sharafat; Seyed Mohammad Firouzabadi

Volume 1, Issue 3 , June 2007, Pages 189-199

  A novel approach to surface electromyogram (sEMG) signal classification using its higher order statistics (HOS) is presented in this study. As the probability density function of the sEMG during isometric contraction in some cases is very close to the Gaussian distribution, it is frequently assumed to ...  Read More

Full Research Paper Speech processing
New Biologically Inspired Connectionist Approaches To Improve Machine Speech Recognition

Mohammad Reza Yazdchi; Seyed Ali Seyed Salehi

Volume 1, Issue 3 , June 2007, Pages 201-213

  One of the most important challenges in automatic speech recognition is in the case of difference between the training and testing data. To decrease this difference, the conventional methods try to enhance the speech or use the statistical model adaptation. Training the model in different situations ...  Read More

Full Research Paper Tissue Engineering
Effect Of Continuous, Repeated And Intermittent Pressure On The Biomechanical And Histological Characteristics Of Guinea Pig Skin

Giti Torkamaan; Ali Fallah; Mahmoud Mofid; Sedighe Ghiasi; Ghadam Ali Talebi

Volume 1, Issue 3 , June 2007, Pages 215-225

  In this study 22 male Guinea Pigs, 4-6 months old, weighting 400-450 g were used. A computer controlled indentor system was used to apply a controlled pressure. The applied pressure was 291 mmHg for 3 hours over the trochanter region of animal hind limb. The animals were divided in three groups; in group ...  Read More

Full Research Paper Speech processing
Automatic Prosody Generation By Neural-Statistical Hybrid Model For Unit Selection Speech Synthesis

Mansour Sheykhan

Volume 1, Issue 3 , June 2007, Pages 227-240

  In the first version of our Farsi Text-To-Speech (TTS) system, a Recurrent Neural Network (RNN) was used to generate prosody parameters (pitch contour, duration, energy and pause), and a Harmonic + Noise Model (HNM) speech synthesizer was used to concatenate the single units of diphones. To improve the ...  Read More