Automated ECG heartbeat classification by combining a multilayer perceptron neural network with enhanced particle swarm optimization algorithm (Englisch)

In: Research on Biomedical Engineering   ;  35 ,  2  ;  143-155  ;  2019

Wie erhalte ich diesen Titel?

Download
Kommerziell Vergütung an den Verlag: 34,95 € Grundgebühr: 4,00 € Gesamtpreis: 38,95 €
Akademisch Vergütung an den Verlag: 12,50 € Grundgebühr: 2,00 € Gesamtpreis: 14,50 €

Abstract

Purpose

The electrocardiograms analysis helps cardiologists to diagnosis different cardiac disorders. In this paper, we have proposed a new training algorithm of a multilayer perceptron (MLP) neural network to improve the classification task of arrhythmias.

Methods

For this purpose, an enhanced particle swarm optimization algorithm (EPSO) was implemented by proposing a new updating equation of the inertia weight factor through iterations. In this work, five predominant types of ECG beats from MIT-BIH database are taken as desired output classes of the MLP neural network. The considered heartbeats are normal (N), premature ventricular contraction (PVC), atrial premature contraction (APC), right bundle branch block (RBBB), and left bundle branch block (LBBB).

Results

The accurate classification and recognition of different classes have been focused on the extraction of the more relevant and appropriate feature parameters. For this purpose, we have implemented the classifier using several kinds of features (morphological, wavelet, or statistical features) and also with different combinations of them in order to select the more pertinent features to the studied classes of ECG beats. The evaluation of the proposed EPSO-MLPNN classification system on ECG data from MIT-BIH database achieves the good classification results in terms of three statistical parameters. We have computed a specificity of 99.81%, a sensitivity of 97.67%, and an accuracy of 98.56%. Furthermore, these results demonstrate a clear improvement in the classification performances compared with those of other methods of classification carried out on MIT-BIH database.

Conclusion

The proposed classification system can be used as a powerful tool in the field of arrhythmia diagnostic.

Inhaltsverzeichnis – Band 35, Ausgabe 2

Zeige alle Jahrgänge und Ausgaben

Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.

77
Cycling fatigue evaluation using weighted-cumulated methodology
Oliveira Nascimento, Francisco Assis / Araújo Rocha, Valdinar Jr / Andrade, Marcelino Monteiro / Carmo, Jake Carvalho | 2019
89
Automatic optic disc segmentation using a 3D Morphologic Fuzzy Histon Roughness Index
Cardoso, Cristiane de Fátima dos Santos / Carrijo, Gilberto Arantes / Ferreira, Júlio César / Santos, Jucelino Cardoso Marciano | 2019
103
Incisions in virtual reality simulators: assessing user performance
Moura, Ives Fernando Martins Santos / Machado, Liliane dos Santos / Valença, Ana Maria Gondim | 2019
111
On the origin of skin burns and neuromuscular electrical stimulation as a consequence of electrosurgical procedures
Dias, Elton Jr / Schneider, Bertoldo Jr / Ribeiro, Evaldo | 2019
123
Whole-body vibration on parallel bar device for gait and balance rehabilitation in stroke patients
Morais, Antonio Vinícius / Tomaz, Gilberto Jr / Lazzareschi, Leandro / Almeida, Diego Varalda / Santos, Marcello Francisco / Silva Boschi, Silvia Regina Matos / Martini, Silvia Cristina / Scardovelli, Terigi Augusto / Silva, Alessandro Pereira | 2019
131
Scaffolds’ production based on calcium aluminate blends and their biological properties
Las Nieves González Vicuna, Iranel / Grancianinov, Karen Julie Santos / Santos, Kennedy Wallace / Santos Ortega, Fernando / Camargo Reis Mello, Daphne / Vasconcellos, Luana Marotta Reis / Costa, Maricilia Silva / Pandolfelli, Victor Carlos / Oliveira, Ivone Regina | 2019
143
Automated ECG heartbeat classification by combining a multilayer perceptron neural network with enhanced particle swarm optimization algorithm
Bouaziz, Fatiha / Boutana, Daoud | 2019
157
Simple adaptive PI controller development and evaluation for mean arterial pressure regulation
Silva, Samuel Justino / Scardovelli, Terigi Augusto / Silva Boschi, Silvia Regina Matos / Rodrigues, Silvia Cristina Martini / Silva, Alessandro Pereira | 2019
167
An obstetric brachial plexus lesion rehabilitation platform
Alberti, Eduardo Juliano / Pichorim, Sérgio Francisco / Brawerman, Alessandro | 2019
Feedback