Sleep onset detection with multiple EEG alpha-band features: Comparison between healthy, insomniac and schizophrenic patients

Chamila Dissanayaka, Dean Cvetkovic, Chanakya Reddy Patti, Sobhan Salari Shahrbabaki, Beena Ahmed, Claudia Schilling, Michael Schredl

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

1 Citation (Scopus)

Abstract

In the past several studies have evaluated the human sleep onset (wake to sleep transition) using the electroencephalographic (EEG) measurements. This paper has evaluated the detection accuracy of sleep stages for multiple features based on the EEG alpha activity, during SO in healthy, insomniac and schizophrenic patients. The features include topographic features such as Directed Transfer Function, Full frequency DTF, Welch Coherence, Minimum Variance Distortionless Response Coherence and Partial Directed Coherence. Sleep stages Wake, NREM (Non-rapid Eye Movement) stages 1 and 2 were classified using Artificial Neural Networks (ANN) classifier and evaluated using classification accuracy. The results suggest that using topographic set of features yield an agreement of 81.3 % with the whole database classification of human expert.

Original languageEnglish
Title of host publicationIEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479972333
DOIs
Publication statusPublished - 4 Dec 2015
Externally publishedYes
Event11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015 - Atlanta, United States
Duration: 22 Oct 201524 Oct 2015

Other

Other11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
CountryUnited States
CityAtlanta
Period22/10/1524/10/15

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ASJC Scopus subject areas

  • Biotechnology
  • Instrumentation
  • Biomedical Engineering
  • Electrical and Electronic Engineering

Cite this

Dissanayaka, C., Cvetkovic, D., Patti, C. R., Shahrbabaki, S. S., Ahmed, B., Schilling, C., & Schredl, M. (2015). Sleep onset detection with multiple EEG alpha-band features: Comparison between healthy, insomniac and schizophrenic patients. In IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings [7348362] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2015.7348362