| Seizure Detection using the Phase-Slope Index and Multichannel ECoG. | |
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MedLine Citation:
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PMID: 22271828 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Detection and analysis of epileptic seizures is of clinical and research interest. We propose a novel seizure detection and analysis scheme based on the phase-slope index (PSI) of directed influence applied to multichannel ECoG data. The PSI metric identifies increases in the spatio-temporal interactions between channels that clearly distinguish seizure from inter-ictal activity. We form a global metric of interaction between channels and compare this metric to a threshold to detect the presence of seizures. The threshold is chosen based on a moving average of recent activity to accommodate differences between patients and slow changes within each patient over time. We evaluate detection performance over a challenging population of five patients with different types of epilepsy using a total of 47 seizures in nearly 258 hours of recorded data. Using a common threshold procedure we show that our approach detects all of the seizures in four of the five patients with a false detection rate less than two per hour. A variation on the global metric is proposed to identify which channels are strong drivers of activity in each patient. These metrics are computationally efficient and suitable for real-time application. |
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Authors:
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P Rana; J Lipor; H Lee; W van Drongelen; M Kohrman; B Vanveen |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-18 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: - ISSN: 1558-2531 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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