Novel approach toward medical signals classifier

Marcin Woźniak; Dawid Połap; Robert K. Nowicki; Christian Napoli; Giuseppe Pappalardo; Emiliano Tramontana

doi:10.1109/IJCNN.2015.7280556

Novel approach toward medical signals classifier

Marcin Woźniak
, Dawid Połap
, Robert K. Nowicki
, Christian Napoli
, Giuseppe Pappalardo
, Emiliano Tramontana

Katedra Modelowania Sztucznej Inteligencji (RMS/RMS2)

Częstochowa University of Technology
University of Catania

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

44 Cytowania z bazy Scopus

Abstrakt

In this paper a novel approach to automatic medical signal diagnosis is proposed. The authors propose a solution based on the application of Computational Intelligence (CI) to assist classification procedure based on Neural Network (NN) attempt. Experiments have been performed with the proposed CI solution applied on retrieved digital signals of various heart actions to help in missing or incomplete data gathering. Then this knowledge was applied as a training set in proposed NN classifier used to recognize potential dangers and therefore work as Decision Support System (DSS) designed for medical purposes.

Język oryginału	angielski
Tytuł publikacji goszczącej	2015 International Joint Conference on Neural Networks, IJCNN 2015
Wydawca	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektroniczny)	9781479919604, 9781479919604, 9781479919604, 9781479919604
Identyfikatory DOI	https://doi.org/10.1109/IJCNN.2015.7280556
Status publikacji	Opublikowano - 28 wrz 2015
Wydarzenie	International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Irlandia Czas trwania: 12 lip 2015 → 17 lip 2015

Seria publikacji

Nazwa	Proceedings of the International Joint Conference on Neural Networks
Tom	2015-September

Konferencja

Konferencja	International Joint Conference on Neural Networks, IJCNN 2015
Kraj/Terytorium	Irlandia
Miejscowość	Killarney
Okres	12/07/15 → 17/07/15

Obszary tematyczne ASJC Scopus

Oprogramowanie
Sztuczna inteligencja

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10.1109/IJCNN.2015.7280556

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Cytowanie

Woźniak, M., Połap, D., Nowicki, R. K., Napoli, C., Pappalardo, G., & Tramontana, E. (2015). Novel approach toward medical signals classifier. W 2015 International Joint Conference on Neural Networks, IJCNN 2015 Artykułu 7280556 (Proceedings of the International Joint Conference on Neural Networks; Tom 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280556

@inproceedings{f23908ed382244d6949f5f4fa8c65d72,

title = "Novel approach toward medical signals classifier",

abstract = "In this paper a novel approach to automatic medical signal diagnosis is proposed. The authors propose a solution based on the application of Computational Intelligence (CI) to assist classification procedure based on Neural Network (NN) attempt. Experiments have been performed with the proposed CI solution applied on retrieved digital signals of various heart actions to help in missing or incomplete data gathering. Then this knowledge was applied as a training set in proposed NN classifier used to recognize potential dangers and therefore work as Decision Support System (DSS) designed for medical purposes.",

keywords = "Adaptation models, Artificial neural networks, Computational modeling, Electrocardiography, Medical diagnostic imaging",

author = "Marcin Wo{\'z}niak and Dawid Po{\l}ap and Nowicki, \{Robert K.\} and Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Joint Conference on Neural Networks, IJCNN 2015 ; Conference date: 12-07-2015 Through 17-07-2015",

year = "2015",

month = sep,

day = "28",

doi = "10.1109/IJCNN.2015.7280556",

language = "English",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 International Joint Conference on Neural Networks, IJCNN 2015",

address = "United States",

}

Woźniak, M , Połap, D, Nowicki, RK, Napoli, C, Pappalardo, G & Tramontana, E 2015, Novel approach toward medical signals classifier. w 2015 International Joint Conference on Neural Networks, IJCNN 2015., 7280556, Proceedings of the International Joint Conference on Neural Networks, tom 2015-September, Institute of Electrical and Electronics Engineers Inc., International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Irlandia, 12/07/15. https://doi.org/10.1109/IJCNN.2015.7280556

Novel approach toward medical signals classifier. / Woźniak, Marcin ; Połap, Dawid; Nowicki, Robert K. i in.
2015 International Joint Conference on Neural Networks, IJCNN 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7280556 (Proceedings of the International Joint Conference on Neural Networks; Tom 2015-September).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Novel approach toward medical signals classifier

AU - Woźniak, Marcin

AU - Połap, Dawid

AU - Nowicki, Robert K.

AU - Napoli, Christian

AU - Pappalardo, Giuseppe

AU - Tramontana, Emiliano

PY - 2015/9/28

Y1 - 2015/9/28

N2 - In this paper a novel approach to automatic medical signal diagnosis is proposed. The authors propose a solution based on the application of Computational Intelligence (CI) to assist classification procedure based on Neural Network (NN) attempt. Experiments have been performed with the proposed CI solution applied on retrieved digital signals of various heart actions to help in missing or incomplete data gathering. Then this knowledge was applied as a training set in proposed NN classifier used to recognize potential dangers and therefore work as Decision Support System (DSS) designed for medical purposes.

AB - In this paper a novel approach to automatic medical signal diagnosis is proposed. The authors propose a solution based on the application of Computational Intelligence (CI) to assist classification procedure based on Neural Network (NN) attempt. Experiments have been performed with the proposed CI solution applied on retrieved digital signals of various heart actions to help in missing or incomplete data gathering. Then this knowledge was applied as a training set in proposed NN classifier used to recognize potential dangers and therefore work as Decision Support System (DSS) designed for medical purposes.

KW - Adaptation models

KW - Artificial neural networks

KW - Computational modeling

KW - Electrocardiography

KW - Medical diagnostic imaging

UR - https://www.scopus.com/pages/publications/84951179430

U2 - 10.1109/IJCNN.2015.7280556

DO - 10.1109/IJCNN.2015.7280556

M3 - Conference contribution

AN - SCOPUS:84951179430

T3 - Proceedings of the International Joint Conference on Neural Networks

BT - 2015 International Joint Conference on Neural Networks, IJCNN 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Joint Conference on Neural Networks, IJCNN 2015

Y2 - 12 July 2015 through 17 July 2015

ER -

Novel approach toward medical signals classifier

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