• DocumentCode
    634061
  • Title

    Differentiation between migraine without aura and chronic tension-type headache based on HOS analysis of sEMG signals

  • Author

    Biyouki, Fariba ; Rahati, Saeed ; Laimi, Katri ; Boostani, Reza ; Shoeibi, Ali

  • Author_Institution
    Dept. of Biomed. Eng., Islamic Azad Univ., Mashhad, Iran
  • fYear
    2013
  • fDate
    14-16 May 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Tension-type headache is the most prevalent form of headache. Nevertheless, the majority of current classification systems for this kind of headache rely on qualitative descriptions and clinical symptoms rather than practical rules, which are less distinct from migraineous features. The aim of this study was to introduce new diagnostic criteria for differentiation between CTTH and migraine patients using nonlinear analysis of surface EMG signals recorded from temporalis muscle. The subjects were eight patients with chronic tension-type headache, ten migraine patients without aura and eight healthy, age and sex matched volunteers. The focus of this study was on HOS analysis and examining the bispectral patterns and extracting features based on entropy concept for differentiation. The results showed that negentropy was the only feature, which could distinguish three studied groups. However, pairwise analysis indicated that NBE was capable of differentiating between migraine and CTTH patients. In addition, bispectral magnitude and specially phase diagrams, enabled us to visually differentiate studied groups.
  • Keywords
    electromyography; entropy; feature extraction; higher order statistics; medical disorders; medical signal processing; phase diagrams; CTTH patients; HOS analysis; aura tension-type headache; bispectral magnitude; bispectral patterns; chronic tension-type headache; clinical symptoms; entropy concept; feature extraction; higher order statistics; migraine patients; migraineous features; negentropy; nonlinear analysis; pairwise analysis; phase diagrams; surface EMG signal recording; surface electromyography; temporalis muscle; Educational institutions; Electrodes; Electromyography; Entropy; Equations; Feature extraction; Muscles; Chronic tension-type headache (CTTH); diagnosis; higher order statistics (HOS); migraine headache; surface electromyography (sEMG);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2013 21st Iranian Conference on
  • Conference_Location
    Mashhad
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2013.6599575
  • Filename
    6599575