An intelligent system for electrocardiogram diagnosis

Author

Ge, Jiguang ; Shen, Gongw ; Chen, Shuoytn ; Pan, Jinbo

Author_Institution

Dept. of Biol. Sci. & Technol., Zhejiang Univ., Hangzhou, China

fYear

1994

fDate

1994

Firstpage

1376

Abstract

A primary research real-time system for obtaining a diagnostic description of an electrocardiogram (ECG) sequence has been developed and tested. The knowledge about the ECG has been obtained from highly skilled and experienced physicians and conclusions are drawn by forward reasoning and refinement into an heuristic approach based on rules. On the low level, the ECG parameters are extracted and patterns are recognized; these data are the input for the high level processing. Tests with 50 rules gave correct descriptions as compared to the diagnosis of a physician. The coincident rate of diagnostic results is over 90 percent

Keywords

electrocardiography; ECG parameter extraction; coincident rate; diagnostic description; electrocardiogram diagnosis; electrocardiogram sequence; forward reasoning; heuristic approach; high level processing; intelligent system; pattern recognition; physicians; primary research real-time system; Artificial intelligence; Electrocardiography; Instruments; Intelligent systems; Medical diagnostic imaging; Pattern recognition; Production systems; Signal processing; Signal processing algorithms; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.415480

Filename

415480