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Multifractal Approach for Quantification of Autonomic Deregulation Due to Epileptic Seizure with ECG Data

  • Dipak Ghosh
  • Shukla Samanta
  • Sayantan Chakraborty
Chapter

Abstract

Since the autonomic function affecting the sympathetic, parasympathetic nervous system changes due to epileptic seizure, the corresponding changes in cardiac signals may be effectively used as potential biomarker providing an extracerebral indicator of ictal onset in some cases. Patients suffering from epilepsy may experience serious cardiac malfunctions leading to sudden unexpected death (SUDEP). Thus the heart rate fluctuations during seizure are non-linear and extremely complex. This chapter presents a report on the analysis of ECG signals of postictal patients using a modern and rigorous chaos-based non-linear technique.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Dipak Ghosh
    • 1
  • Shukla Samanta
    • 2
  • Sayantan Chakraborty
    • 3
  1. 1.Department of PhysicsSir C V Raman Centre for Physics and Music, Jadavpur UniversityKolkataIndia
  2. 2.Department for PhysicsSeacom Engineering CollegeHowrahIndia
  3. 3.Electrical and Electronics EngineeringICFAI UniversityAgartalaIndia

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