Determination of features for heart sounds by using wavelet transforms

M. Nadir Kurnaz; Tamer Ölmez

Determination of features for heart sounds by using wavelet transforms

M. Nadir Kurnaz^*, Tamer Ölmez

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Contribution to journal › Conference article › peer-review

9 Citations (Scopus)

Abstract

A novel method is presented to determine features of heart sounds. Wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: Segmentation of the first and second heart sounds, and extraction of the features. After the segmentation, feature vectors are formed by using the wavelet detail coefficient at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.

Original language	English
Pages (from-to)	155-158
Number of pages	4
Journal	Proceedings of the IEEE Symposium on Computer-Based Medical Systems
Publication status	Published - 2002
Event	fifteenth IEEE Symposium on Computer-Based Medical Systems - Maribor, Slovenia Duration: 4 Jun 2002 → 7 Jun 2002

Cite this

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title = "Determination of features for heart sounds by using wavelet transforms",

abstract = "A novel method is presented to determine features of heart sounds. Wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: Segmentation of the first and second heart sounds, and extraction of the features. After the segmentation, feature vectors are formed by using the wavelet detail coefficient at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.",

author = "Kurnaz, {M. Nadir} and Tamer {\"O}lmez",

year = "2002",

language = "English",

pages = "155--158",

journal = "Proceedings of the IEEE Symposium on Computer-Based Medical Systems",

issn = "1063-7125",

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

note = "fifteenth IEEE Symposium on Computer-Based Medical Systems ; Conference date: 04-06-2002 Through 07-06-2002",

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T1 - Determination of features for heart sounds by using wavelet transforms

AU - Kurnaz, M. Nadir

AU - Ölmez, Tamer

PY - 2002

Y1 - 2002

N2 - A novel method is presented to determine features of heart sounds. Wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: Segmentation of the first and second heart sounds, and extraction of the features. After the segmentation, feature vectors are formed by using the wavelet detail coefficient at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.

AB - A novel method is presented to determine features of heart sounds. Wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: Segmentation of the first and second heart sounds, and extraction of the features. After the segmentation, feature vectors are formed by using the wavelet detail coefficient at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.

UR - http://www.scopus.com/inward/record.url?scp=0036068281&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036068281

SN - 1063-7125

SP - 155

EP - 158

JO - Proceedings of the IEEE Symposium on Computer-Based Medical Systems

JF - Proceedings of the IEEE Symposium on Computer-Based Medical Systems

T2 - fifteenth IEEE Symposium on Computer-Based Medical Systems

Y2 - 4 June 2002 through 7 June 2002

ER -

Determination of features for heart sounds by using wavelet transforms

Abstract

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