The analysis of heart sounds based on linear and high order statistical methods

This paper investigates the applicability of high order statistical autoregressive (AR-HOS) modeling method in analyzing biomedical signals. The autoregressive (AR) method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is foun...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Scientific and technical aerospace reports 2003-07, Vol.41 (14)
Hauptverfasser: Ergen, Burhan, Tatar, Yetkin
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 14
container_start_page
container_title Scientific and technical aerospace reports
container_volume 41
creator Ergen, Burhan
Tatar, Yetkin
description This paper investigates the applicability of high order statistical autoregressive (AR-HOS) modeling method in analyzing biomedical signals. The autoregressive (AR) method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is found that the AR-HOS modeling a signal produce more accurate and higher resolution spectrum than AR modeling.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_21541463</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>21541463</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_215414633</originalsourceid><addsrcrecordid>eNqNjjkOwjAQAF2ARDj-sBVdpFxAqBGIjiZ9tMQbbOR4wesU_J4UPIBqpNEUM1NJvqvqtK7Lw0ItRZ5ZVhyrLE_UrTEE6NF9xApwD4YwRBAevRa4o5AG9uCsn_wUajD2YYCDpgASMVqJtkMHA0XDWtZq3qMT2vy4UtvLuTld01fg90gS28FKR86hJx6lLaaxvNqX5d_hF0ldQTc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>21541463</pqid></control><display><type>article</type><title>The analysis of heart sounds based on linear and high order statistical methods</title><source>U.S. Government Documents</source><source>Alma/SFX Local Collection</source><creator>Ergen, Burhan ; Tatar, Yetkin</creator><creatorcontrib>Ergen, Burhan ; Tatar, Yetkin</creatorcontrib><description>This paper investigates the applicability of high order statistical autoregressive (AR-HOS) modeling method in analyzing biomedical signals. The autoregressive (AR) method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is found that the AR-HOS modeling a signal produce more accurate and higher resolution spectrum than AR modeling.</description><identifier>ISSN: 1548-8837</identifier><language>eng</language><ispartof>Scientific and technical aerospace reports, 2003-07, Vol.41 (14)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Ergen, Burhan</creatorcontrib><creatorcontrib>Tatar, Yetkin</creatorcontrib><title>The analysis of heart sounds based on linear and high order statistical methods</title><title>Scientific and technical aerospace reports</title><description>This paper investigates the applicability of high order statistical autoregressive (AR-HOS) modeling method in analyzing biomedical signals. The autoregressive (AR) method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is found that the AR-HOS modeling a signal produce more accurate and higher resolution spectrum than AR modeling.</description><issn>1548-8837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqNjjkOwjAQAF2ARDj-sBVdpFxAqBGIjiZ9tMQbbOR4wesU_J4UPIBqpNEUM1NJvqvqtK7Lw0ItRZ5ZVhyrLE_UrTEE6NF9xApwD4YwRBAevRa4o5AG9uCsn_wUajD2YYCDpgASMVqJtkMHA0XDWtZq3qMT2vy4UtvLuTld01fg90gS28FKR86hJx6lLaaxvNqX5d_hF0ldQTc</recordid><startdate>20030711</startdate><enddate>20030711</enddate><creator>Ergen, Burhan</creator><creator>Tatar, Yetkin</creator><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20030711</creationdate><title>The analysis of heart sounds based on linear and high order statistical methods</title><author>Ergen, Burhan ; Tatar, Yetkin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_215414633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ergen, Burhan</creatorcontrib><creatorcontrib>Tatar, Yetkin</creatorcontrib><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Scientific and technical aerospace reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ergen, Burhan</au><au>Tatar, Yetkin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The analysis of heart sounds based on linear and high order statistical methods</atitle><jtitle>Scientific and technical aerospace reports</jtitle><date>2003-07-11</date><risdate>2003</risdate><volume>41</volume><issue>14</issue><issn>1548-8837</issn><abstract>This paper investigates the applicability of high order statistical autoregressive (AR-HOS) modeling method in analyzing biomedical signals. The autoregressive (AR) method using linear prediction and AR-HOS method using cumulants are applied on normal and pathological heart sound signals. It is found that the AR-HOS modeling a signal produce more accurate and higher resolution spectrum than AR modeling.</abstract></addata></record>
fulltext fulltext
identifier ISSN: 1548-8837
ispartof Scientific and technical aerospace reports, 2003-07, Vol.41 (14)
issn 1548-8837
language eng
recordid cdi_proquest_miscellaneous_21541463
source U.S. Government Documents; Alma/SFX Local Collection
title The analysis of heart sounds based on linear and high order statistical methods
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T01%3A10%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20analysis%20of%20heart%20sounds%20based%20on%20linear%20and%20high%20order%20statistical%20methods&rft.jtitle=Scientific%20and%20technical%20aerospace%20reports&rft.au=Ergen,%20Burhan&rft.date=2003-07-11&rft.volume=41&rft.issue=14&rft.issn=1548-8837&rft_id=info:doi/&rft_dat=%3Cproquest%3E21541463%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=21541463&rft_id=info:pmid/&rfr_iscdi=true