Using the wavelet packet transform in automatic sleep analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The unavailability of an accurate and robust automatic sleep analyzer has hindered sleep researchers in understanding sleep and its effects. During the last few decades, different EEG signal processing techniques have been applied to develop an automated sleep stage classification system. In this paper we will discuss the innovative spectral analysis techniques, specifically time-frequency techniques, which have been applied to sleep staging with some success. In this paper we will discuss the application of the wavelet packet (WP) transform on sleep EEG for the detection of sleep spindles. The results obtained from our study will be presented and the suitability of the WP transform for the identification of sleep spindles discussed.

Original languageEnglish
Title of host publication4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008
Pages397-401
Number of pages5
Volume22
DOIs
Publication statusPublished - 2008
Event4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008 - Antwerp, Belgium
Duration: 23 Nov 200827 Nov 2008

Other

Other4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008
CountryBelgium
CityAntwerp
Period23/11/0827/11/08

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Keywords

  • Sleep analysis
  • Sleep classification
  • Sleep EEG
  • Sleep spindles

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Ahmed, B., & Tafreshi, R. (2008). Using the wavelet packet transform in automatic sleep analysis. In 4th European Conference of the International Federation for Medical and Biological Engineering - ECIFMBE 2008 (Vol. 22, pp. 397-401) https://doi.org/10.1007/978-3-540-89208-3_94