Title :
Equilibrium-Based Bipolar Neurological Modeling
Author :
Zhang, Wen-Ran ; Pandurangi, Anand K. ; Peace, Karl E.
Author_Institution :
Dept. of Comput. Sci., Georgia Southern Univ., Statesboro, GA
fDate :
Aug. 30 2006-Sept. 3 2006
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
Keywords :
medical diagnostic computing; neurophysiology; physiological models; psychology; bipolar disorder; bipolar universal modus ponens; clinical psychopharmacology; depressive phase; diagnostic analysis; equilibrium-based bipolar neurological modeling; equilibrium-based dynamic model; manic phase; psychiatric syndrome; Cities and towns; Lattices; Logic; Medical diagnostic imaging; Mood; Psychiatry; Psychology; Stability analysis; Time series analysis; USA Councils; Bipolar Diagnostic Analysis; Bipolar Neurological Modeling; Depression and Bipolar Disorder; YinYang Bipolar Equilibrium;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259424
