Advertisement

Detection of Intracranial Electroencephalogram Spikes by Phase Space Reconstruction

  • Hsiao-Lung Chan
  • Yu-Tai Tsai
  • Bao-Luen Chang
  • Tony Wu
  • Shih-Tseng Lee
  • Bor-Shyh Lin
  • Pei-Kuang Chao
Conference paper
  • 143 Downloads
Part of the IFMBE Proceedings book series (IFMBE, volume 37)

Abstract

Distinguishing epileptic spikes from non-spike waves is commonly performed by matching morphological data to predefined spike patterns, which is limited by the waveform variety appeared in epileptic spikes. This paper proposes an unsupervised method to detecting and classifying spikes in the reconstructed phase space. The spikes detected by adaptive energy threshold are transformed to two-dimensional phase space trajectories and are then quantified by the major trajectory radius curves. These curves serve as specific features to classify the detected spikes. Our results showed that the topological mapping of the classified spikes could be potential for finding the locations of epileptic foci.

Keywords

Electroencephalogram epileptic focus spike detection spike classification phase space reconstruction 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hsiao-Lung Chan
    • 1
    • 2
    • 3
  • Yu-Tai Tsai
    • 1
  • Bao-Luen Chang
    • 4
  • Tony Wu
    • 4
  • Shih-Tseng Lee
    • 5
  • Bor-Shyh Lin
    • 6
  • Pei-Kuang Chao
    • 1
  1. 1.Department of Electrical EngineeringChang Gung UniversityTaoyuanTaiwan
  2. 2.Healthy Aging Research CenterChang Gung UniversityTaoyuanTaiwan
  3. 3.Biomedical Engineering Research CenterChang Gung UniversityTaoyuanTaiwan
  4. 4.Department of NeurologyChang Gung Memorial HospitalTaoyuanTaiwan
  5. 5.Department of NeurosurgeryChang Gung Memorial HospitalTaoyuanTaiwan
  6. 6.Institute of Imaging and Biomedical PhotonicsNational Chiao Tung UniversityTainanTaiwan

Personalised recommendations