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
Classification of Normal and Abnormal Heart Sounds Using Machine Learning Techniques

Parastoo Sadeghinia; Hamed Danandeh Hesar

Volume 16, Issue 3 , December 2022, , Pages 271-287

  Phonocardiography (PCG) signals provide valuable information about the heart valves .These auditory signals can be useful in the early diagnosis of heart diseases. Automatic heart sound classification has a promising potential in the field of heart pathology. In this research, a new method based on machine ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Detection of Persian Sign Language and Hand Gestures by Decomposition of Surface Electromyogram, and Inertia Signals with Empirical Wavelet Transform

Masoud Moradi; Sina Shamekhi

Volume 16, Issue 2 , September 2022, , Pages 167-182

  In recent years, the fabrication of devices that can facilitate the difficulty of communication between deaf people and the general public and translate sign language has attracted interest from researchers. But problems such as low accuracy and calculation speed and the high cost of tools have hindered ...  Read More

Feature Selection based on Information Theory to Select Effective Genes for Diagnosis of Cancer Subtypes using Microarray Data

Abolfazl Tabatabaei; Vali Derhami; Razieh Sheikhpour; Mohammad-Reza Pajoohan

Volume 13, Issue 4 , December 2019, , Pages 337-348

  Feature selection is a well-known preprocessing technique in machine learning, data mining and especially bioinformatics microarray analysis with a high-dimension, low-sample-size (HDLSS) data. The diagnosis of genes responsible for disease using microarray data is an important issue to promoting knowledge ...  Read More

Feature Selection Method based on Subspace Learning and Factorization of Basis Matrix for DNA Micro-Array Datasetsfor DNA Micro-Array Datasets

Mahla Dehtaghi Zadeh; Farid Saberi-Movahed; Mahdi Eftekhari

Volume 13, Issue 3 , October 2019, , Pages 223-234

  DNA micro-array datasets play crucial role in machine learning and recognition of various kinds of cancer structures. Micro-array datasets are typically characterized by the high number of features and the small number of samples. Such problems may result in overfitting and low prediction accuracy of ...  Read More

Bioinformatics / Biomedical Informatics / Medical Informatics / Health Informatics
Dimensionality Reduction of Binding Site Sequence Data on Human Genome Using a Deep Autoencoder Neural Network

Hossein Bankikoshki; Seyed Ali Seyyedsalehi; Fatemeh Zare Mirakabad

Volume 11, Issue 3 , September 2017, , Pages 219-230

  The use of genomic nucleotide sequences as biochemical signals in machine learning methods is possible by converting these sequences into numerical codes. This conversion results in an unrealistic increase in the dimension of the data and encounters some data analysis operations such as visualization ...  Read More

Biomedical Image Processing / Medical Image Processing
Full Automatic Classification of Suspicious Areas in Breast Thermo Images for Early Cancer Detection

Amir Ehsan Lashkari; Fatemeh Pak; Mohammad Firouzmand

Volume 9, Issue 1 , April 2015, , Pages 71-84

  Breast cancer is the most common type of cancer among women. The important key to treat the breast cancer is early detection of it because according to many pathological studies more 80% of all abnormalities are still benign at primary stages; so in recent years, many studies and extensive research done ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Identification of Imagery Based Affective States using Decision Level Fusion of Multimodal Physiological Signals

Mahdi Khezri; Seyed Mohammad Firoozabadi; Seyed Ahmad Reza Sharafat

Volume 8, Issue 4 , February 2015, , Pages 339-358

  In this study, we propose decision level fusion of multimodal physiological signals to design an affect identification system using the MIT database. Four types of physiological signals, including blood volume pressure (BVP), respiration rate (RSP), skin conductance and facial muscles activities (fEMG) ...  Read More

Biological Computer Modeling / Biological Computer Simulation
Optimal Feature Selection in Biologically Inspired Model for Object Recognition Using Mutual Information Maximisation

Mohammad Jazlaeiyan; Hadi Shahriar Shahhoseini

Volume 8, Issue 4 , February 2015, , Pages 371-383

  Human visual system operates superior than best machine vision systems in object recognition. So, researchers in machine vision and neuroscience try to model human visual system in order to employ it in machine. HMAX is one of the best operating models in this area. It is based on the function of brain ...  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