Chapter 17: Performance evaluation of fractal features toward seizure detection from electroencephalogram signals
O.K. Fasil; R. Rajesh Department of Computer Science, Central University of Kerala, Kerala, India
Abstract
Electroencephalogram signals are the classical gold standard for the diagnosis of seizures. Important information that enables the effective detection of seizure is hidden due to the complex and chaotic nature of electroencephalogram signals. The capability of fractal dimension to extract complex information from signals or images is well utilized in various domains. In this chapter, the ability of three well-known fractal dimension feature extraction methods (e.g., Katz fractal dimension, Higuchi fractal dimension, ...
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