Biostatistics: Faculty Publications
Equilibrium-Based Bipolar Neurological Modeling
Document Type
Article
Publication Date
8-2006
Publication Title
Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
DOI
10.1109/IEMBS.2006.259424
ISBN
1-4244-0032-5
ISSN
1557-170X
Abstract
This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatric syndrome with manic and depressive phases. The new model extends the traditional spectrum model of mood states from a static and closed world to a dynamic open-world of equilibria with a bipolar universal modus ponens (BUMP). The utility of the new model is illustrated in diagnostic analysis of depression and clinical psychopharmacology of different phases of this disorder
Recommended Citation
Zhang, Wen-Ran, Anand K. Pandurangi, Karl E. Peace.
2006.
"Equilibrium-Based Bipolar Neurological Modeling."
Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society: 5169-5172.
doi: 10.1109/IEMBS.2006.259424 isbn: 1-4244-0032-5
https://digitalcommons.georgiasouthern.edu/biostat-facpubs/33
Copyright
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