SEIZURE DETECTION AND ANALYSIS USING PHASE-SLOPE INDEX
File(s)
Date
2011-05-15Author
Rana, Puneet
Advisor(s)
Van Veen, Barry
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Show full item recordAbstract
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 interictal
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 one
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.