Detection of intracranial electroencephalogram spikes by phase space reconstruction (Conference Paper)

Hsiao Lung Chan*, Yu Tai Tsai, Bao Luen Chang, Tony Wu, Shih Tseng Lee, Bor-Shyh Lin, Pei Kuang Chao

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)150-153
Number of pages4
JournalIFMBE Proceedings
StatePublished - 9 Nov 2011


  • Electroencephalogram
  • epileptic focus
  • phase space reconstruction
  • spike classification
  • spike detection


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