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)
Planar Reaching Movement Generation using Submovement Prediction Model

Seyedeh Somayeh Naghibi; Ali Fallah; Ali Maleki; Farnaz Ghassemi

Volume 13, Issue 3 , October 2019, , Pages 247-257

  The correct prediction of the optimal motor trajectory is necessary for movement rehabilitation and control systems such as functional electrical stimulation and robotic therapy. It seems that human reaching movements are composed of a set of submovements, each of which is a correction of the overall ...  Read More

Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a Hybrid Model of Simulated Annealing Algorithm and Neural Network

Sobhan Sheykhivand; Tohid Yousefi Rezaii; Zohreh Mousavi; Saeed Meshgini

Volume 11, Issue 4 , February 2018, , Pages 313-325

  Using an intelligent method to automatically detect sleep patterns in medical applications is one of the most important challenges in recent years to reduce the workload of physicians in analyzing sleep data through visual inspection. In this paper, a single-channel EEG-based algorithm is used to automatically ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Discrimination Of Ventricular Fibrillation Based On Chaotic Characteristics Of Electrocardiogram Signals

Mohammad Reza Nourouzi; Mohammad Javad Yazdanpanah

Volume 1, Issue 1 , June 2007, , Pages 53-62

  Ventricular Fibrillation (VF) is a dangerous abnormality in the heart activity. During the VF, well known shape of electrocardiogram (ECG) signal changes to a pseudo-noise waveform. Recent researches have depicted that VF is not a noisy signal. The characteristics of VF and chaotic signals are the same. ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
A New Nonlinear Model Using Neural Networks For Generating Electrocardiogram Signals

Nader Jafarnia Dabanloo; Ahmad Ayatollahi; Vahid Jouhari Majd; Desmond Mclernon

Volume -2, Issue 1 , July 2005, , Pages 71-80

  The generation of electrocardiogram (ECG) signals by using a mathematical model has recently been investigated. One of the applications of a dynamical model which can artificially produces an ECG signal is the easy assessment of diagnostic ECG signal processing devices. In addition, the model may be ...  Read More

Neuro-Muscular Engineering
Neural Network Modeling Of Electrically Stimulated Muscle Under Non-Isometric Conditions

Abbas Erfanian Omidvar

Volume -2, Issue 1 , July 2005, , Pages 81-92

  This paper is concerned with developing a force-generating model of electrically stimulated muscle under non-isometric condition. Hill-based muscle models have been the most popular structure. This type of muscle model was constructed as a combination of different independent blocks (i.e., activation ...  Read More