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 contributionpeer-review

3 Citations (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
Subtitle of host publicationEngineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781479972333
DOIs
Publication statusPublished - 7 Dec 2015
Externally publishedYes
Event11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015 - Atlanta, United States
Duration: 22 Oct 201524 Oct 2015

Publication series

NameIEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings

Conference

Conference11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Country/TerritoryUnited States
CityAtlanta
Period22/10/1524/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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