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
Empirical mode decomposition-based elimination of Electrocardiogram artifact from Electromyogram signals

Mohsen Naji; Seyed Mohammad Firouzabadi; Sedighe Kahrizi

Volume 7, Issue 1 , June 2013, , Pages 13-20

  The collected electromyogram (EMG) signals from trunk musculature (e.g., rectus abdominis and external oblique muscle) are often contaminated with the heart muscle electrical activity (ECG). This paper introduces a novel method, the Empirical Mode Decomposition, for elimination of ECG contamination from ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
ECG Coding for Compression Enhancement in Telemedicine

Mohsen Mohammadvali’ee; Ali Mahloojifar

Volume 7, Issue 3 , June 2013, , Pages 265-276

  One of the most important goals for increasing the recognition and treatment revenue is transmitting the vital data to medical care team, more quickly. Nowadays, use of new technologies for transmission of data is extending every day. In this research, for transmitting electrocardiogram, first we code ...  Read More

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

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