Equilibrium-Based Bipolar Neurological Modeling

Wen-Ran Zhang; Anand K. Pandurangi; Karl E. Peace

doi:10.1109/IEMBS.2006.259424

Equilibrium-Based Bipolar Neurological Modeling

Wen-Ran Zhang
, Anand K. Pandurangi
, Karl E. Peace

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University
Virginia Commonwealth University

Research output: Contribution to book or proceeding › Conference article › peer-review

3 Scopus citations

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

Original language	American English
Title of host publication	Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
Pages	5169-5172
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2006.259424
State	Published - Aug 1 2006
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: Aug 30 2006 → Sep 3 2006

Publication series

Name	Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society

Conference

Conference	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	08/30/06 → 09/3/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Disciplines

Biostatistics
Community Health
Public Health

Keywords

Bipolar neurological modeling
Equilibrium-based

Access to Document

10.1109/IEMBS.2006.259424License: Unspecified

https://doi.org/10.1109/IEMBS.2006.259424

Cite this

Zhang, W.-R., Pandurangi, A. K., & Peace, K. E. (2006). Equilibrium-Based Bipolar Neurological Modeling. In Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 5169-5172). Article 4029449 (Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society). https://doi.org/10.1109/IEMBS.2006.259424

@inproceedings{dc93c11e780c4b91aaf737ce5080084f,

title = "Equilibrium-Based Bipolar Neurological Modeling",

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 = "Bipolar neurological modeling, Equilibrium-based",

author = "Wen-Ran Zhang and Pandurangi, \{Anand K.\} and Peace, \{Karl E.\}",

note = "This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatri; 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",

year = "2006",

month = aug,

day = "1",

doi = "10.1109/IEMBS.2006.259424",

language = "American English",

isbn = "1424400325",

series = "Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society",

pages = "5169--5172",

booktitle = "Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society",

}

Zhang, W-R, Pandurangi, AK & Peace, KE 2006, Equilibrium-Based Bipolar Neurological Modeling. in Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society., 4029449, Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5169-5172, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 08/30/06. https://doi.org/10.1109/IEMBS.2006.259424

Equilibrium-Based Bipolar Neurological Modeling. / Zhang, Wen-Ran; Pandurangi, Anand K.; Peace, Karl E.
Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society. 2006. p. 5169-5172 4029449 (Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - Equilibrium-Based Bipolar Neurological Modeling

AU - Zhang, Wen-Ran

AU - Pandurangi, Anand K.

AU - Peace, Karl E.

N1 - This work introduces an equilibrium-based dynamic model for the characterization, classification, and diagnostic analysis of bipolar disorder, a psychiatri

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 - Conference article

AN - SCOPUS:34047189784

SN - 1424400325

SN - 9781424400324

T3 - Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society

SP - 5169

EP - 5172

BT - Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society

T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

Y2 - 30 August 2006 through 3 September 2006

ER -

Equilibrium-Based Bipolar Neurological Modeling

Abstract

Publication series

Conference

UN SDGs

Disciplines

Keywords

Access to Document

Other files and links

Fingerprint

Cite this