Linear and Non-linear Analysis of EEG During Sleep Deprivation in Subjects with and Without Epilepsy

  • Silvia Marino
  • Giulia Silveri
  • Lilla Bonanno
  • Simona De Salvo
  • Emanuele Cartella
  • Aleksandar Miladinović
  • Miloš Ajčević
  • Agostino AccardoEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 76)


EEG has a central role in the diagnosis of epileptiform abnormalities helpful in diagnosing epilepsy. Since irregularities are random and sporadic events, easily activated in the initial phase of sleep but difficult to observe in a standard EEG examination, sleep deprivation is a frequent condition to be used. Thus, in this study the EEG monitoring of 44 subjects, 14 without epilepsy and 30 with epilepsy, afferent to the IRCCS Centro Neurolesi “Bonino Pulejo” of Messina were examined after sleep deprivation the day before performing the registration. EEGs were recorded according to the international setting system using nineteen channels. The normalized power spectral densities in delta (2–4 Hz), theta (4–8 Hz), alpha (8–13 Hz) and beta (13–30 Hz) band were computed and the non-linear parameters such as beta exponent, fractal dimension and zero crossing were considered. The differences between the sleep and awake were significant in almost all the channels in the beta band and in posterior areas for beta exponent, fractal dimension and zero crossing in normal subjects. In epileptic patients they were significant in all the channels in the delta band and for the non-linear parameters, and in several ones in theta and beta bands. Even if in posterior areas all the spectral and the non-linear parameters showed different values between epileptic and healthy subjects, no significant differences were found. The results suggest that analysis of spectral power as well as of complexity, obtained by non-linear parameters, could be used to identify differences between healthy and epileptic patients.


EEG Epilepsy Sleep deprivation 



Work partially supported by the Master in Clinical Engineering, University of Trieste.

Conflict of Interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Silvia Marino
    • 1
  • Giulia Silveri
    • 2
  • Lilla Bonanno
    • 1
  • Simona De Salvo
    • 1
  • Emanuele Cartella
    • 1
  • Aleksandar Miladinović
    • 2
  • Miloš Ajčević
    • 2
  • Agostino Accardo
    • 2
    Email author
  1. 1.IRCCS Centro Neurolesi “Bonino Pulejo”MessinaItaly
  2. 2.University of TriesteTriesteItaly

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