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Special Edition of COVID-19

Current Issue

January-March 2023| Vol 13| Issue 1

Original Article

A GU-Net-based architecture predicting ligand–Protein-binding atoms

Background: The first step in developing new drugs is to find binding sites for a protein structure that can be used as a starting point to design new antagonists and inhibitors. The methods ...


Original Article

An efficient method for classification of alcoholic and normal electroencephalogram signals based on selection of an appropriate feature

Background: Alcohol addiction contributes to disorders in brain's normal patterns. Analysis of electroencephalogram (EEG) signal helps to diagnose and classify alcoholic and normal EEG si...


Original Article

Design and fabrication of a device for reducing hand tremor in parkinson patients during eating

Background: In this paper, the method of designing a noninvasive device for eliminating hand tremors in Parkinson's patients is presented. The designed device measures the tremors of the ...


Original Article

Prediction of biceps muscle electromyogram signal using a NARX neural network

Background: This study was conducted to compare the response between the results of experimental data and the results achieved by the NARX neural network model to predict the electromyogram (...


Original Article

Binary logistic regression modeling of voice impairment and voice assessment in iranian patients with nonlaryngeal head-and-neck cancers after chemoradiation therapy: Objective and subjective voice evaluation

Background: Laryngeal damages after chemoradiation therapy (RT) in nonlaryngeal head-and-neck cancers (HNCs) can cause voice disorders and finally reduce the patient's quality of life (QO...


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ISSN - Print: NA,
Online: 2228-7477

Journal of Medical Signals & Sensors, a publication of Isfahan University of Medical Sciences, is a peer-reviewed online Quarterly journal.

Features of Manuscript Management System

  • Online submission
  • Wider visibility through open access
  • Higher impact
  • Prompt review

Abstracting and Indexing Information

The journal is registered with the following abstracting partners:
Baidu Scholar, Biological Abstracts, BIOSIS Previews, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris Primo Central, Google Scholar, Hinari, Infotrieve, Netherlands ISSN centre, ProQuest, TDNet, Wanfang Data

The journal is indexed with, or included in, the following:
DOAJ, Emerging Sources Citation Index, PubMed Central, Scimago Journal Ranking, SCOPUS