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Advances in Nonstationary Electrophysiological Signal Analysis and Processing

  1. Content type: Research

    Current approaches to improve the pattern recognition performance mainly focus on either extracting non-stationary and discriminant features of each class, or employing complex and nonlinear feature classifier...

    Authors: Behnaz Ghoraani and Sridhar Krishnan

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:250

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  2. Content type: Research

    This research proposes a generic methodology for dimensionality reduction upon time–frequency representations applied to the classification of different types of biosignals. The methodology directly deals with...

    Authors: Juan D Martínez-Vargas, Juan I Godino-Llorente and Germán Castellanos‐Dominguez

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:219

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  3. Content type: Research

    This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the ...

    Authors: Mostefa Mesbah, Malarvili Balakrishnan, Paul B Colditz and Boualem Boashash

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:215

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  4. Content type: Research

    Respiratory activity introduces oscillations both in arterial pressure and heart period, through mechanical and autonomic mechanisms. Respiration, arterial pressure, and heart period are, generally, non-statio...

    Authors: Michele Orini, Raquel Bailón, Pablo Laguna, Luca T Mainardi and Riccardo Barbieri

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:214

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  5. Content type: Research

    Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer’s disease (AD). In this paper, we present a new electroencephalogram (EEG) based metric to quantitatively characterize neuromod...

    Authors: Tiago H Falk, Francisco J Fraga, Lucas Trambaiolli and Renato Anghinah

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:192

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    The Erratum to this article has been published in EURASIP Journal on Advances in Signal Processing 2014 2014:49

  6. Content type: Research

    Multisensor data fusion is a powerful solution for solving difficult pattern recognition problems such as the classification of bioelectrical signals. It is the process of combining information from different ...

    Authors: Bassam Moslem, Mohamad Diab, Mohamad Khalil and Catherine Marque

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:167

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  7. Content type: Research

    Neuromuscular electrical stimulation (NMES) facilitates ambulatory function after paralysis by activating the muscles of the lower extremities. The NMES-assisted stepping can either be triggered by a heel-swit...

    Authors: Anirban Dutta, Bhawna Khattar and Alakananda Banerjee

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:153

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  8. Content type: Research

    The flexion relaxation phenomenon (FRP) can be defined as a reduction or silence of myoelectric activity of the lumbar erector spinae muscle during full trunk flexion. It is typically absent in patients with c...

    Authors: François Nougarou, Daniel Massicotte and Martin Descarreaux

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:151

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  9. Content type: Research

    The electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newbor...

    Authors: Mostefa Mesbah, John M. O’ Toole, Paul B. Colditz and Boualem Boashash

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:143

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  10. Content type: Research

    Electroencephalographic (EEG) recordings are often contaminated with muscle artifacts. This disturbing myogenic activity not only strongly affects the visual analysis of EEG, but also most surely impairs the r...

    Authors: Doha Safieddine, Amar Kachenoura, Laurent Albera, Gwénaël Birot, Ahmad Karfoul, Anca Pasnicu, Arnaud Biraben, Fabrice Wendling, Lotfi Senhadji and Isabelle Merlet

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:127

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  11. Content type: Research

    One of the biggest problems in today’s BCI research is the non-stationarity of the recorded signals. This non-stationarity can cause the BCI performance to deteriorate over time or drop significantly when tran...

    Authors: Martin Spüler, Wolfgang Rosenstiel and Martin Bogdan

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:129

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