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)
Speech processing
Optimal Feature Selection and Comparison for Automatic Detection of Parkinson's Disease Using Speech Signal

Hamid Azadi; Mohammad Ali Khalil Zade; Mohammad Reza Akbarzade Toutounchi; Hamid Reza Kobravi; Fariborz Rezaei Talab; Seyed Amir Ziafati Bagherzade; Alireza Noei Sarcheshme; Nina Shahsavan Pour

Volume 10, Issue 1 , May 2016, , Pages 41-47

  In recent years, researchers have tried hardly to diagnose Parkinson's disease through finding its relation with the patient's speech signal. Also, many studies have been performed on determining the intensity of the disease and its relation with vocal impairment measures. In this paper, we aim to assess ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Prediction of the Thumb Fingure Extensor and Flexor Muscles Desired Activation Pattern during Hand Writing and Painting Using Neural Networks

Sanaz Ahmadzadeh; Hamid Reza Kobravi; Saeed Tosizadeh

Volume 8, Issue 3 , September 2014, , Pages 293-304

  Multiple muscle groups may be activated simultaneously during the most of activities. So, the appropriate muscle coordination must be emerged during a normal activity. Consequaently, for rehabilitation of movements such as hand writing and paiting in patients for example suffering from carpal channel ...  Read More

Neuro-Muscular Engineering
An Adaptive Fuzzy Control with Hierarchical Structure for Controlling the Knee-joint angle by using Functional Electrical Stimulation

Hamid Reza Kobravi; Abbas Erfanian Omidvar

Volume 2, Issue 4 , June 2008, , Pages 335-349

  In this paper an adaptive robust fuzzy controller based on sliding mode control (SMC) approach is proposed to control the knee joint position using quadriceps electrical stimulation and it has been tested on three subjects. The proposed method is based on SMC. The main advantage of SMC derives from the ...  Read More