Classification of four types of common murmurs using wavelets and a learning vector quantization network

F. Rios-Gutiérrez; R. Alba-Flores; K. Ejaz; G. Nordehn; N. Andrisevic; S. Burns

doi:10.1109/ijcnn.2006.247015

Classification of four types of common murmurs using wavelets and a learning vector quantization network

F. Rios-Gutiérrez, R. Alba-Flores, K. Ejaz, G. Nordehn, N. Andrisevic, S. Burns

Electrical & Computer Engineering

Research output: Contribution to book or proceeding › Conference article › peer-review

8 Scopus citations

Abstract

In this work we present the development of a system that can be used for the study, detection and classification of human heart sounds using digital signal processing and artificial intelligence techniques. The design and implementation of such system is broken down into two processes: digital signal processing part and artificial intelligence part. The ultimate goal of the project is to develop an intelligent system that can be used for the detection and classification of various types of human heart murmurs.

Original language	English
Title of host publication	International Joint Conference on Neural Networks 2006, IJCNN '06
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2206-2213
Number of pages	8
ISBN (Print)	0780394909, 9780780394902
DOIs	https://doi.org/10.1109/ijcnn.2006.247015
State	Published - 2006
Event	International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada Duration: Jul 16 2006 → Jul 21 2006

Publication series

Name	IEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)	1098-7576

Conference

Conference	International Joint Conference on Neural Networks 2006, IJCNN '06
Country/Territory	Canada
City	Vancouver, BC
Period	07/16/06 → 07/21/06

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10.1109/ijcnn.2006.247015

Cite this

Rios-Gutiérrez, F., Alba-Flores, R., Ejaz, K., Nordehn, G., Andrisevic, N., & Burns, S. (2006). Classification of four types of common murmurs using wavelets and a learning vector quantization network. In International Joint Conference on Neural Networks 2006, IJCNN '06 (pp. 2206-2213). Article 1716385 (IEEE International Conference on Neural Networks - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ijcnn.2006.247015

Rios-Gutiérrez, F. ; Alba-Flores, R. ; Ejaz, K. et al. / Classification of four types of common murmurs using wavelets and a learning vector quantization network. International Joint Conference on Neural Networks 2006, IJCNN '06. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 2206-2213 (IEEE International Conference on Neural Networks - Conference Proceedings).

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title = "Classification of four types of common murmurs using wavelets and a learning vector quantization network",

abstract = "In this work we present the development of a system that can be used for the study, detection and classification of human heart sounds using digital signal processing and artificial intelligence techniques. The design and implementation of such system is broken down into two processes: digital signal processing part and artificial intelligence part. The ultimate goal of the project is to develop an intelligent system that can be used for the detection and classification of various types of human heart murmurs.",

author = "F. Rios-Guti{\'e}rrez and R. Alba-Flores and K. Ejaz and G. Nordehn and N. Andrisevic and S. Burns",

year = "2006",

doi = "10.1109/ijcnn.2006.247015",

language = "English",

isbn = "0780394909",

series = "IEEE International Conference on Neural Networks - Conference Proceedings",

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

pages = "2206--2213",

booktitle = "International Joint Conference on Neural Networks 2006, IJCNN '06",

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note = "International Joint Conference on Neural Networks 2006, IJCNN '06 ; Conference date: 16-07-2006 Through 21-07-2006",

}

Rios-Gutiérrez, F , Alba-Flores, R, Ejaz, K, Nordehn, G, Andrisevic, N & Burns, S 2006, Classification of four types of common murmurs using wavelets and a learning vector quantization network. in International Joint Conference on Neural Networks 2006, IJCNN '06., 1716385, IEEE International Conference on Neural Networks - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2206-2213, International Joint Conference on Neural Networks 2006, IJCNN '06, Vancouver, BC, Canada, 07/16/06. https://doi.org/10.1109/ijcnn.2006.247015

Classification of four types of common murmurs using wavelets and a learning vector quantization network. / Rios-Gutiérrez, F.; Alba-Flores, R.; Ejaz, K. et al.
International Joint Conference on Neural Networks 2006, IJCNN '06. Institute of Electrical and Electronics Engineers Inc., 2006. p. 2206-2213 1716385 (IEEE International Conference on Neural Networks - Conference Proceedings).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - Classification of four types of common murmurs using wavelets and a learning vector quantization network

AU - Rios-Gutiérrez, F.

AU - Alba-Flores, R.

AU - Ejaz, K.

AU - Nordehn, G.

AU - Andrisevic, N.

AU - Burns, S.

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AB - In this work we present the development of a system that can be used for the study, detection and classification of human heart sounds using digital signal processing and artificial intelligence techniques. The design and implementation of such system is broken down into two processes: digital signal processing part and artificial intelligence part. The ultimate goal of the project is to develop an intelligent system that can be used for the detection and classification of various types of human heart murmurs.

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DO - 10.1109/ijcnn.2006.247015

M3 - Conference article

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SN - 0780394909

SN - 9780780394902

T3 - IEEE International Conference on Neural Networks - Conference Proceedings

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EP - 2213

BT - International Joint Conference on Neural Networks 2006, IJCNN '06

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Joint Conference on Neural Networks 2006, IJCNN '06

Y2 - 16 July 2006 through 21 July 2006

ER -

Rios-Gutiérrez F , Alba-Flores R, Ejaz K, Nordehn G, Andrisevic N, Burns S. Classification of four types of common murmurs using wavelets and a learning vector quantization network. In International Joint Conference on Neural Networks 2006, IJCNN '06. Institute of Electrical and Electronics Engineers Inc. 2006. p. 2206-2213. 1716385. (IEEE International Conference on Neural Networks - Conference Proceedings). doi: 10.1109/ijcnn.2006.247015

Classification of four types of common murmurs using wavelets and a learning vector quantization network

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