A learning system for ECG diagnosis expert systems

Giakoumakis, E. A.; Diamantidis, N. A.

doi:10.1109/cic.1993.378340

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Wang et al (1999), a design strategy for a self-adaptive brain tumour diagnostic system was developed. Giakoumakis and Diamantidis (2001) proposed a neural-network-based learning system for electrocardiogram (ECG) diagnosis expert systems. Furthermore, in D'Amico et al (1994) an expert system for diagnosis of generic deafness was proposed.…”

Section: Introductionmentioning

confidence: 99%

A theoretic framework for intelligent expert systems in medical encounter evaluation

Melek

Sadeghian

2009

Expert Systems

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This paper describes a novel approach to implementation of a medical diagnosis expert system that can assist physicians with their daily practices. Differential artificial intelligence techniques are incorporated into a multi-stage expert system to best represent the various phases of the patient diagnosis process. A weighted scoring system is used to represent the subjective analysis stage, while a rule-based fuzzy expert system is employed to both interpret laboratory tests and imaging findings and suggest the final diagnosis. A model of various patient flow scenarios is presented to demonstrate the functionality of the proposed expert system. An actual example of patient walkthrough is used to demonstrate various computation steps from recording the patient chief complaint to arriving at the final diagnosis. It is shown that the conclusion arrived at by using the proposed system is consistent with a common diagnosis of a third party specialist who is asked to evaluate the performance of the system.

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Section: Introductionmentioning

confidence: 99%

A theoretic framework for intelligent expert systems in medical encounter evaluation

Melek

Sadeghian

2009

Expert Systems

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“…The rules used in this system were developed in consultation with experts. These rules are always subject to change as medical knowledge improves; thus it is necessary to periodically update the rule-base [8], [9], [12]. The developed system can aid the physician in the diagnosis of heart diseases.…”

Section: Illustration Illustrationmentioning

confidence: 99%

A Rule-based Expert System for ECG Analysis

Mahesh¹,

Kandaswamy²,

Venkatesan³

2009

IJET

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Abstract-This paper presents the development of a rule-based expert system that emulates the ECG interpretation skills of an expert cardiologist. The knowledge of an expert is confined to him and is not freely available for decision-making. An expert system is developed to overcome this problem. In this rule-based expert system, patient's heart rate and the wave characteristics of the ECG are considered. With these 'facts', rules are framed and a rule base is developed in consultation with experts. An inference engine in the expert system uses these inputs and the rule base to identify any abnormality in the patient's heart. A unique feature of the proposed system is storing the post diagnostic information in a database. That is, information about a patient diagnosed by this system is stored and can be retrieved later date-wise. The user can also input his comments or suggestions for improvement or correction, which can later be incorporated in the system after validation by experts. Only authorized access to the database is permitted. This expert system can support physicians in their diagnosis and decision-making.Index Terms-ECG, Entity-Relationship diagram, Expert system, if-then-else rules, inference engine, rule-based system.

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A knowledge-based approach to cardiac signal analysis using LabVIEW

Narayana

Rao

2010

2010 International Conference on Power, Control and Embedded Systems

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A learning system for ECG diagnosis expert systems

Cited by 4 publications

References 3 publications

A theoretic framework for intelligent expert systems in medical encounter evaluation

A theoretic framework for intelligent expert systems in medical encounter evaluation

A Rule-based Expert System for ECG Analysis

A knowledge-based approach to cardiac signal analysis using LabVIEW

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