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ARTICLE
Year : 2012  |  Volume : 2  |  Issue : 2  |  Page : 82-86

Wavelet Entropy Measure to Quantify Information Transmission in Human Cerebral Cortex


School of Information Technology and Engineering University of Ottawa, Ottawa, Ontorio,- K1N 6N5, Canada

Correspondence Address:
Ranganadh Narayanam
School of Information Technology and Engineering University of Ottawa, Ottawa, Ontorio,- K1N 6N5
Canada
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0976-8580.99293

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The electrical brain signal analysis is mostly qualitative, the development of new quantitative methods is crucial for restricting the subjectivity in the study of brain signals. These methods are particularly fruitful when they are strongly correlated with intuitive physical concepts that allow a better understanding of brain dynamics. These current waveforms were decomposed into different approximation and details using the wavelet analysis. The wavelet entropy of such decompositions is analyzed, reaching a successful methodology for information transmission. The suggested approach is tested using different event-related potential conditions, and different types of cognitive disorders have proven to be successful in the identification of the transmission of information.


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