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Advances in Nonstationary Electrophysiological Signal Analysis and Processing

  1. 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

    Content type: Research

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  2. 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

    Content type: Research

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  3. 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

    Content type: Research

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  4. 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

    Content type: Research

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  5. 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

    Content type: Research

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

  6. 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

    Content type: Research

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  7. 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

    Content type: Research

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  8. 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

    Content type: Research

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  9. 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

    Content type: Research

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  10. 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

    Content type: Research

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  11. 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

    Content type: Research

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