The widespread use of medical information systems and rapid growth of medical databases require methods of efficient computer-assisted analysis. In this paper we focus on the QRS complex detection in electrocardiogram but, the idea of further recognition of anomalies in QRS complexes based on the immunology approach is described, as well. In order to detect QRS complexes, a neural network ensemble is proposed. It consists of three neural networks. The details of this solution are described and the results of the experimental study are shown
Abstract Background The QRS complex is the most noticeable feature in the electrocardiogram (ECG) si...
The research activity contained in the present thesis work is devoted to the development of novel Ma...
Soft computing is a new approach to construct intelligent systems. The complex real world problems r...
Electrocardiography (ECG) is the most important noninvasive tool used for diagnosing heart diseases....
This research work is supervised by ANN based algorithm to classify the ECG waveforms. The ECG wavef...
An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity v...
Objective: Accurate QRS complex detection is essential for electrocardiography (ECG) diagnosis. Many...
Srce je jedan od ključnih organa u ljudskom organizmu. Bez njegovog ispravnog rada znatno se smanjuj...
Abstract- bioelectrical signal, which records the heart’s electrical activity versus time, is an ele...
Modern engineering offers sophisticated means for monitoring diagnosis and therapy of cardiac diseas...
Recent development in the area of wireless communications enabled advances in healthcare technology....
This bachelor thesis describes commonly present arrhytmias such as premature ventricular complex, bu...
Electrocardiogram represents electrical activity of the compassion. Sinus tachycardia and Sinus Brad...
A study of computerised interpretation of the electrocardiogram (ECG) with the main focus on the pre...
A graphical representation of the electrical signals generated during the heart activity could be te...
Abstract Background The QRS complex is the most noticeable feature in the electrocardiogram (ECG) si...
The research activity contained in the present thesis work is devoted to the development of novel Ma...
Soft computing is a new approach to construct intelligent systems. The complex real world problems r...
Electrocardiography (ECG) is the most important noninvasive tool used for diagnosing heart diseases....
This research work is supervised by ANN based algorithm to classify the ECG waveforms. The ECG wavef...
An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity v...
Objective: Accurate QRS complex detection is essential for electrocardiography (ECG) diagnosis. Many...
Srce je jedan od ključnih organa u ljudskom organizmu. Bez njegovog ispravnog rada znatno se smanjuj...
Abstract- bioelectrical signal, which records the heart’s electrical activity versus time, is an ele...
Modern engineering offers sophisticated means for monitoring diagnosis and therapy of cardiac diseas...
Recent development in the area of wireless communications enabled advances in healthcare technology....
This bachelor thesis describes commonly present arrhytmias such as premature ventricular complex, bu...
Electrocardiogram represents electrical activity of the compassion. Sinus tachycardia and Sinus Brad...
A study of computerised interpretation of the electrocardiogram (ECG) with the main focus on the pre...
A graphical representation of the electrical signals generated during the heart activity could be te...
Abstract Background The QRS complex is the most noticeable feature in the electrocardiogram (ECG) si...
The research activity contained in the present thesis work is devoted to the development of novel Ma...
Soft computing is a new approach to construct intelligent systems. The complex real world problems r...