Abstract
Numerous studies on EEG data indicate that various brain processes are characterized by phase relationships between different regions of the brain. The development of analytic techniques that can provide a better detection of these phase relationships can lead to a better understanding of such brain processes. In this chapter two variants of the common spatial patterns (CSP) method which are designed to capture such phase relationships, namely, the “phase synchronization”-based CSP (P-CSP) algorithm and the analytic CSP (ACSP) algorithm, are presented. The P-CSP and ACSP methods are analyzed and tested on real EEG data. The nature of the results of the two methods is then discussed, highlighting the differences between them.
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Camilleri, K.P., Falzon, O., Camilleri, T., Fabri, S.G. (2014). Phase Variants of the Common Spatial Patterns Method. In: Sakkalis, V. (eds) Modern Electroencephalographic Assessment Techniques. Neuromethods, vol 91. Humana Press, New York, NY. https://doi.org/10.1007/7657_2013_66
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DOI: https://doi.org/10.1007/7657_2013_66
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