A novel insomnia identification method based on Hjorth parameters

Sana Tmar Ben Hamida, Beena Ahmed, Thomas Penzel

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

5 Citations (Scopus)

Abstract

In this work, we present a &-means classifier using Hjorth parameters extracted from the central electroencephalogram (EEG) signals to accurately detect insomnia. To develop and test our classifier we used data from thirty six subjects: 18 patients diagnosed with primary insomnia (10 females, 8 males) and 18 controls (10 females, 8 males). The main findings of our work can be summarized as follows: 1) the Hjorth parameters, particularly the mobility and the complexity, accurately quantify the differences between the EEG sleep from insomnia patients and controls; 2) these differences can be observed across both C3 and C4 central channels; and 3) a k-means classifier based on Hjorth parameters extracted from the C3 channel is able to accurately detect epochs from insomnia patients with a Cohen's Kappa of 0.83, sensitivity of 91.9% and specificity of 91%.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-552
Number of pages5
ISBN (Electronic)9781509004805
DOIs
Publication statusPublished - 28 Jan 2016
Event15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015 - Abu Dhabi, United Arab Emirates
Duration: 7 Dec 201510 Dec 2015

Other

Other15th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
CountryUnited Arab Emirates
CityAbu Dhabi
Period7/12/1510/12/15

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Keywords

  • Hjorth parameters
  • k-means clustering
  • sleep signal analysis

ASJC Scopus subject areas

  • Signal Processing

Cite this

Hamida, S. T. B., Ahmed, B., & Penzel, T. (2016). A novel insomnia identification method based on Hjorth parameters. In 2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015 (pp. 548-552). [7394397] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSPIT.2015.7394397