A two-step subspace approach for automatic detection of CAP phases in multichannel ambulatory sleep EEG

Ammar Hussain Khan, Ibrahim Onaran, Nuri Firat Ince, Mostafa Kaveh, Tacjana Friday, Mike Howell, Thomas Henry, Zhiyi Sha

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

1 Scopus citations

Abstract

Cyclic Alternating Pattern (CAP) Occurs during Non-Rapid Eye Movement (NREM) Sleep and Is Exploited as a Neuro-Marker of Various Sleep Disorders. the CAP Is Build up from so Called a and B Phases Which Correspond to Widespread Synchronous and Regular Background Activities of EEG Respectively. Currently, These Phases Are Detected by Medical Experts through Visual Inspection, Thereby Limiting Their Potential to Be Used as a Gauge for Sleep Quality. This Paper Aims to Contribute to the Current Effort towards Automatic Detection of CAP Phases, so That Its Potential Can Be Improved in the Assessment of Sleep Quality. unlike Previous Research Where a Predefined Bipolar (and/or Monopolar) Channel Was Used for Automatic Detection, This Paper Explores the Use of a Two-Step Principal Component Analysis (PCA) in Spatial and Feature Domains to Extract Features from All 21 Recording Channels of Ambulatory EEG. Linear Discriminant Analysis (LDA) Was Used on the Extracted Features to Discriminate Phase a and B. over a Five Subject Database, Our Algorithm Reached an Average Classification Accuracy over 86%, Whereas the Baseline Approach Resulted in an 80.3% Success Rate. These Results Indicate That the Two Step PCA Procedure Can Be Used Effectively to Extract Features from Ambulatory EEG towards Detection of CAP.

Original languageEnglish (US)
Title of host publicationBIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Pages342-346
Number of pages5
StatePublished - May 27 2013
EventInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013 - Barcelona, Spain
Duration: Feb 11 2013Feb 14 2013

Publication series

NameBIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

Other

OtherInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013
CountrySpain
CityBarcelona
Period2/11/132/14/13

Keywords

  • Ambulatory EEG
  • Classification
  • Cyclic alternating pattern
  • Principal component analysis
  • Spatial PCA

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    Khan, A. H., Onaran, I., Ince, N. F., Kaveh, M., Friday, T., Howell, M., Henry, T., & Sha, Z. (2013). A two-step subspace approach for automatic detection of CAP phases in multichannel ambulatory sleep EEG. In BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing (pp. 342-346). (BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing).