Analyzing and processing EEG-based multichannel signals acquired during sleeping

P. Vergallo, A. Lay-Ekuakille, N. I. Giannocaro, A. Trabacca, R. Della Porta, M. De Rinaldis

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Processing of signals acquired from sensor systems needs accurate algorithms to extract information of interest concerning the problem under study. In this work Empirical Mode Decomposition method is used on EEG signals obtained during polysomnography examination, when electromyographic (EMG) signals are acquired too. EMD method decomposes a signal into components named Intrinsic Mode Functions (IMF) which can exhibit important time-frequency information related to signals under observation. Since EEG signals are obtained from multiple electrodes, the problem is addressed to processing of signals acquired from multiple channels according to sensor array techniques. The objective of this work is to define an automatic method to detect transient event, changes of sleep stage in EEG signals which can allow an evaluation of the state of the patient. In this first step we analyze and process EEG signals through EMD method to remove EMG contributes. The obtained results are encouraging in the definition of a future multivariate approach to quantify brain activity by evaluating correlation of the IMFs calculated for each channel.

Original languageEnglish
Pages (from-to)358-361
Number of pages4
JournalUnknown Journal
Volume2014-January
Publication statusPublished - 2014

Fingerprint

Electroencephalography
Processing
Sensor arrays
Brain
Decomposition
Electrodes
Sensors

Keywords

  • Biomedical measurements
  • Component
  • Empirical mode decomposition
  • Signal processing
  • Sleep EEG

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Vergallo, P., Lay-Ekuakille, A., Giannocaro, N. I., Trabacca, A., Della Porta, R., & De Rinaldis, M. (2014). Analyzing and processing EEG-based multichannel signals acquired during sleeping. Unknown Journal, 2014-January, 358-361.

Analyzing and processing EEG-based multichannel signals acquired during sleeping. / Vergallo, P.; Lay-Ekuakille, A.; Giannocaro, N. I.; Trabacca, A.; Della Porta, R.; De Rinaldis, M.

In: Unknown Journal, Vol. 2014-January, 2014, p. 358-361.

Research output: Contribution to journalArticle

Vergallo, P, Lay-Ekuakille, A, Giannocaro, NI, Trabacca, A, Della Porta, R & De Rinaldis, M 2014, 'Analyzing and processing EEG-based multichannel signals acquired during sleeping', Unknown Journal, vol. 2014-January, pp. 358-361.
Vergallo P, Lay-Ekuakille A, Giannocaro NI, Trabacca A, Della Porta R, De Rinaldis M. Analyzing and processing EEG-based multichannel signals acquired during sleeping. Unknown Journal. 2014;2014-January:358-361.
Vergallo, P. ; Lay-Ekuakille, A. ; Giannocaro, N. I. ; Trabacca, A. ; Della Porta, R. ; De Rinaldis, M. / Analyzing and processing EEG-based multichannel signals acquired during sleeping. In: Unknown Journal. 2014 ; Vol. 2014-January. pp. 358-361.
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