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

Department of Artificial Intelligence Modelling (RMS/RMS2)

Częstochowa University of Technology
University of Catania

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

44 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 International Joint Conference on Neural Networks, IJCNN 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479919604, 9781479919604, 9781479919604, 9781479919604
DOIs	https://doi.org/10.1109/IJCNN.2015.7280556
Publication status	Published - 28 Sept 2015
Event	International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland Duration: 12 Jul 2015 → 17 Jul 2015

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2015-September

Conference

Conference	International Joint Conference on Neural Networks, IJCNN 2015
Country/Territory	Ireland
City	Killarney
Period	12/07/15 → 17/07/15

Keywords

Adaptation models
Artificial neural networks
Computational modeling
Electrocardiography
Medical diagnostic imaging

ASJC Scopus subject areas

Software
Artificial Intelligence

Access to Document

10.1109/IJCNN.2015.7280556

Cite this

Woźniak, M., Połap, D., Nowicki, R. K., Napoli, C., Pappalardo, G., & Tramontana, E. (2015). Novel approach toward medical signals classifier. In 2015 International Joint Conference on Neural Networks, IJCNN 2015 Article 7280556 (Proceedings of the International Joint Conference on Neural Networks; Vol. 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.",

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address = "United States",

}

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

Novel approach toward medical signals classifier. / Woźniak, Marcin ; Połap, Dawid; Nowicki, Robert K. et al.
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; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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Keywords

ASJC Scopus subject areas

Access to Document

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