A rule-based expert system for ECG analysis

Taha, Mohammed Hafiz Alkhalifa Omar; Abuzaid, Mohammed Saeed Mohammed; Alsheikh, Mosaab Taha Alwaseela

dc.contributor.author	Taha, Mohammed Hafiz Alkhalifa Omar
dc.contributor.author	Abuzaid, Mohammed Saeed Mohammed
dc.contributor.author	Alsheikh, Mosaab Taha Alwaseela
dc.date.accessioned	2015-01-15T12:24:40Z
dc.date.available	2015-01-15T12:24:40Z
dc.date.issued	2014-08-10
dc.identifier.citation	Taha,Mohammed Hafiz Alkhalifa Omar.A rule-based expert system for ECG analysis/Mohammed Hafiz Alkhalifa Omar Taha,Mohammed Saeed Mohammed Alsheikh,Mosaab Taha Alwaseela Alsheikh;Altahir Mohammed Hussien.-Khartuom:Sudan University of Science and Technology, College of Engineering,2014.-82p.:ill;28cm.-Bachelors’Search	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/9989
dc.description	Bachelors’Search	en_US
dc.description.abstract	This project is developed to overcome this problem that ECG recorded signal that cannot be diagnosed without physicians in this rule-based expert system, patient's heart rate and the wave characteristics of the ECG are considered. with these facts, rules are farmed 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 . This expert system can support physicians in their diagnosis and decision - making	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Biomedical Engineering	en_US
dc.subject	ECG analysis	en_US
dc.subject	Expert System	en_US
dc.title	A rule-based expert system for ECG analysis	en_US
dc.title.alternative	قاعدة النظام الخبير في تحليل اشارة كهربية القلب	en_US
dc.type	Thesis	en_US