A method for semi-quantitative model-based reasoning system

Author

Wang, J.T. ; Teoh, E.K. ; Mital, D.P.

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

fYear

1994

fDate

22-26 Aug 1994

Firstpage

102

Abstract

Describes a method for creating a semi-quantitative model-based reasoning system for ECG (electrocardiogram) signal interpretation. By this method, a quantitative cardiac model based on the principle of cardiac vectorial analysis was built into the interpretation system. The system makes a diagnostic interpretation on the input ECG signals by reasoning about the model through model simulation. The system may also combine both associational-level knowledge and deep-level causal knowledge from the semi-quantitative model, so as to overcome some limitations of the model-based reasoning system

Keywords

common-sense reasoning; diagnostic expert systems; electrocardiography; medical expert systems; medical signal processing; model-based reasoning; ECG signal interpretation; associational-level knowledge; cardiac vectorial analysis; deep-level causal knowledge; diagnostic interpretation; electrocardiogram; model simulation; quantitative cardiac model; semi-quantitative model-based reasoning system; Decision making; Electrocardiography; Heart; Inference mechanisms; Knowledge based systems; Medical simulation; Physics; Problem-solving; Robustness; Surface morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '94. IEEE Region 10's Ninth Annual International Conference. Theme: Frontiers of Computer Technology. Proceedings of 1994

Print_ISBN

0-7803-1862-5

Type

conf

DOI

10.1109/TENCON.1994.369327

Filename

369327