TY - JOUR
T1 - Equilibrium-Based Bipolar Neurological Modeling
AU - Zhang, Wen-Ran
AU - Pandurangi, Anand K.
AU - Peace, Karl E.
PY - 2006/8/1
Y1 - 2006/8/1
N2 - 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
AB - 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
KW - Bipolar neurological modeling
KW - Equilibrium-based
UR - https://digitalcommons.georgiasouthern.edu/biostat-facpubs/33
UR - https://doi.org/10.1109/IEMBS.2006.259424
U2 - 10.1109/IEMBS.2006.259424
DO - 10.1109/IEMBS.2006.259424
M3 - Article
JO - Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
JF - Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
ER -
