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https://repository.sustech.edu/handle/123456789/9989Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 |
| Appears in Collections: | Bachelor of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A rule-based Expert System ... .pdf | Research | 1.1 MB | Adobe PDF | View/Open |
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