Analysis of heart diseases from ECG signal
| Autor: | Aykut Erdamar, Tugce Kantar, Ovul Koseoglu |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
Decision support system medicine.diagnostic_test Heart disease business.industry Improved algorithm Pattern recognition Rule based algorithm medicine.disease Internal medicine medicine Cardiology Sinus rhythm Artificial intelligence Ecg signal business Electrocardiography Normal Sinus Rhythm |
| Zdroj: | 2014 18th National Biomedical Engineering Meeting. |
| DOI: | 10.1109/biyomut.2014.7026342 |
| Popis: | At the present time, the main method used in the diagnosis of heart disease is the electrocardiography (ECG). The purpose of this study is design a decision support algorithm which automatically detect the normal sinus rhythm or other pathologies. The improved algorithm will provide support to the doctor can be also used for educational purposes. Within the scope of this study,with the design of the rule based algorithm which automatically detect a normal sinus rhythm and non normal sinus rhythm, in total it can detect eight pathologies. In maincode there are thirteen functions that are used for diagnose eight different ECG pathology automatically. Higher success is being anticipated in future for the prediction power of the developed method with continuing research on the matter. |
| Databáze: | OpenAIRE |
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