Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals
In this study, we have compared the efficacy of autoregressive modelling (ARM) and fast Fourier transformation (FFT) of Doppler signals from lower extremity veins of healthy volunteers in various physiologic situations. Compared to FFT, ARM produced smooth spectra and less spectral broadening both i...
Gespeichert in:
| Veröffentlicht in: | Computers in biology and medicine 2006-05, Vol.36 (5), p.484-494 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 494 |
|---|---|
| container_issue | 5 |
| container_start_page | 484 |
| container_title | Computers in biology and medicine |
| container_volume | 36 |
| creator | Kara, Sadık Kemaloǧlu, Semra Erdoǧan, Nuri |
| description | In this study, we have compared the efficacy of autoregressive modelling (ARM) and fast Fourier transformation (FFT) of Doppler signals from lower extremity veins of healthy volunteers in various physiologic situations. Compared to FFT, ARM produced smooth spectra and less spectral broadening both in sonograms and power spectra. However, faulty positioning of the peaks along the time axis in FFT-derived power spectral density curves show that FFT is not a suitable method if these graphs are to be used as a diagnostic tool. Analysis of ARM-based venous sonograms and power spectral density graphs revealed that FFT should not be used in signals with high power spectral density levels and low-frequency bandwidth within limited segments of time. |
| doi_str_mv | 10.1016/j.compbiomed.2005.03.001 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_67869230</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0010482505000454</els_id><sourcerecordid>19449826</sourcerecordid><originalsourceid>FETCH-LOGICAL-c348t-64c5f7b773f72f4c5ad803a436d37430039490919e4b31c1e639698d6e476b0e3</originalsourceid><addsrcrecordid>eNqFkcGu1CAUhonReMerr2BYuWs9FErLUideNbmJG10TCqcTJm0ZgY7OI_jW0sxEl3d1Auf7_3PgJ4QyqBkw-f5Y2zCfBh9mdHUD0NbAawD2jOxY36kKWi6ek125gUr0TXtHXqV0BAABHF6SO9aqpuEN7MiffTEy0aew0DDS0aRMH8IaPUaao1nSGOJssi9tszhq1hwiHiKm5M9I5-BwmvxyoCZRQ503hyWk7C3NIUzUbyIzXZJPm_kUfhVX_J0jzj5f6BmXsCaa_KFA6TV5MZaCb271nvx4-PR9_6V6_Pb56_7DY2W56HMlhW3Hbug6PnbNWA7G9cCN4NLxTnAAroQCxRSKgTPLUHIlVe8kik4OgPyevLv6nmL4uWLKevbJlmeYBcs6Wna9VA2HJ0GmhFB9IwvYX0EbQ0oRR32KfjbxohnoLS991P_z0lteGrgu6RTp29uMddh6_4S3gArw8Qpg-ZJzSUUn63Gx6HxEm7UL_ukpfwH2fK5y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>19449826</pqid></control><display><type>article</type><title>Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><source>MEDLINE</source><source>ProQuest Central UK/Ireland</source><creator>Kara, Sadık ; Kemaloǧlu, Semra ; Erdoǧan, Nuri</creator><creatorcontrib>Kara, Sadık ; Kemaloǧlu, Semra ; Erdoǧan, Nuri</creatorcontrib><description>In this study, we have compared the efficacy of autoregressive modelling (ARM) and fast Fourier transformation (FFT) of Doppler signals from lower extremity veins of healthy volunteers in various physiologic situations. Compared to FFT, ARM produced smooth spectra and less spectral broadening both in sonograms and power spectra. However, faulty positioning of the peaks along the time axis in FFT-derived power spectral density curves show that FFT is not a suitable method if these graphs are to be used as a diagnostic tool. Analysis of ARM-based venous sonograms and power spectral density graphs revealed that FFT should not be used in signals with high power spectral density levels and low-frequency bandwidth within limited segments of time.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/j.compbiomed.2005.03.001</identifier><identifier>PMID: 15922320</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Adult ; Autoregressive modelling ; Computer Simulation ; Fast Fourier transformation ; Fourier Analysis ; Humans ; Lower Extremity - diagnostic imaging ; Male ; Models, Statistical ; Regression Analysis ; Signal Processing, Computer-Assisted ; Time Factors ; Ultrasonography - methods ; Ultrasonography, Doppler - instrumentation ; Ultrasonography, Doppler - methods ; Venous system</subject><ispartof>Computers in biology and medicine, 2006-05, Vol.36 (5), p.484-494</ispartof><rights>2005 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c348t-64c5f7b773f72f4c5ad803a436d37430039490919e4b31c1e639698d6e476b0e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compbiomed.2005.03.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3549,27923,27924,45994,64386</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15922320$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kara, Sadık</creatorcontrib><creatorcontrib>Kemaloǧlu, Semra</creatorcontrib><creatorcontrib>Erdoǧan, Nuri</creatorcontrib><title>Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals</title><title>Computers in biology and medicine</title><addtitle>Comput Biol Med</addtitle><description>In this study, we have compared the efficacy of autoregressive modelling (ARM) and fast Fourier transformation (FFT) of Doppler signals from lower extremity veins of healthy volunteers in various physiologic situations. Compared to FFT, ARM produced smooth spectra and less spectral broadening both in sonograms and power spectra. However, faulty positioning of the peaks along the time axis in FFT-derived power spectral density curves show that FFT is not a suitable method if these graphs are to be used as a diagnostic tool. Analysis of ARM-based venous sonograms and power spectral density graphs revealed that FFT should not be used in signals with high power spectral density levels and low-frequency bandwidth within limited segments of time.</description><subject>Adult</subject><subject>Autoregressive modelling</subject><subject>Computer Simulation</subject><subject>Fast Fourier transformation</subject><subject>Fourier Analysis</subject><subject>Humans</subject><subject>Lower Extremity - diagnostic imaging</subject><subject>Male</subject><subject>Models, Statistical</subject><subject>Regression Analysis</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Time Factors</subject><subject>Ultrasonography - methods</subject><subject>Ultrasonography, Doppler - instrumentation</subject><subject>Ultrasonography, Doppler - methods</subject><subject>Venous system</subject><issn>0010-4825</issn><issn>1879-0534</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcGu1CAUhonReMerr2BYuWs9FErLUideNbmJG10TCqcTJm0ZgY7OI_jW0sxEl3d1Auf7_3PgJ4QyqBkw-f5Y2zCfBh9mdHUD0NbAawD2jOxY36kKWi6ek125gUr0TXtHXqV0BAABHF6SO9aqpuEN7MiffTEy0aew0DDS0aRMH8IaPUaao1nSGOJssi9tszhq1hwiHiKm5M9I5-BwmvxyoCZRQ503hyWk7C3NIUzUbyIzXZJPm_kUfhVX_J0jzj5f6BmXsCaa_KFA6TV5MZaCb271nvx4-PR9_6V6_Pb56_7DY2W56HMlhW3Hbug6PnbNWA7G9cCN4NLxTnAAroQCxRSKgTPLUHIlVe8kik4OgPyevLv6nmL4uWLKevbJlmeYBcs6Wna9VA2HJ0GmhFB9IwvYX0EbQ0oRR32KfjbxohnoLS991P_z0lteGrgu6RTp29uMddh6_4S3gArw8Qpg-ZJzSUUn63Gx6HxEm7UL_ukpfwH2fK5y</recordid><startdate>20060501</startdate><enddate>20060501</enddate><creator>Kara, Sadık</creator><creator>Kemaloǧlu, Semra</creator><creator>Erdoǧan, Nuri</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20060501</creationdate><title>Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals</title><author>Kara, Sadık ; Kemaloǧlu, Semra ; Erdoǧan, Nuri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-64c5f7b773f72f4c5ad803a436d37430039490919e4b31c1e639698d6e476b0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adult</topic><topic>Autoregressive modelling</topic><topic>Computer Simulation</topic><topic>Fast Fourier transformation</topic><topic>Fourier Analysis</topic><topic>Humans</topic><topic>Lower Extremity - diagnostic imaging</topic><topic>Male</topic><topic>Models, Statistical</topic><topic>Regression Analysis</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Time Factors</topic><topic>Ultrasonography - methods</topic><topic>Ultrasonography, Doppler - instrumentation</topic><topic>Ultrasonography, Doppler - methods</topic><topic>Venous system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kara, Sadık</creatorcontrib><creatorcontrib>Kemaloǧlu, Semra</creatorcontrib><creatorcontrib>Erdoǧan, Nuri</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Computers in biology and medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kara, Sadık</au><au>Kemaloǧlu, Semra</au><au>Erdoǧan, Nuri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals</atitle><jtitle>Computers in biology and medicine</jtitle><addtitle>Comput Biol Med</addtitle><date>2006-05-01</date><risdate>2006</risdate><volume>36</volume><issue>5</issue><spage>484</spage><epage>494</epage><pages>484-494</pages><issn>0010-4825</issn><eissn>1879-0534</eissn><abstract>In this study, we have compared the efficacy of autoregressive modelling (ARM) and fast Fourier transformation (FFT) of Doppler signals from lower extremity veins of healthy volunteers in various physiologic situations. Compared to FFT, ARM produced smooth spectra and less spectral broadening both in sonograms and power spectra. However, faulty positioning of the peaks along the time axis in FFT-derived power spectral density curves show that FFT is not a suitable method if these graphs are to be used as a diagnostic tool. Analysis of ARM-based venous sonograms and power spectral density graphs revealed that FFT should not be used in signals with high power spectral density levels and low-frequency bandwidth within limited segments of time.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>15922320</pmid><doi>10.1016/j.compbiomed.2005.03.001</doi><tpages>11</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0010-4825 |
| ispartof | Computers in biology and medicine, 2006-05, Vol.36 (5), p.484-494 |
| issn | 0010-4825 1879-0534 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_67869230 |
| source | Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE; ProQuest Central UK/Ireland |
| subjects | Adult Autoregressive modelling Computer Simulation Fast Fourier transformation Fourier Analysis Humans Lower Extremity - diagnostic imaging Male Models, Statistical Regression Analysis Signal Processing, Computer-Assisted Time Factors Ultrasonography - methods Ultrasonography, Doppler - instrumentation Ultrasonography, Doppler - methods Venous system |
| title | Comparison of fast Fourier transformation and autoregressive modelling as a diagnostic tool in analysis of lower extremity venous signals |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T10%3A41%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparison%20of%20fast%20Fourier%20transformation%20and%20autoregressive%20modelling%20as%20a%20diagnostic%20tool%20in%20analysis%20of%20lower%20extremity%20venous%20signals&rft.jtitle=Computers%20in%20biology%20and%20medicine&rft.au=Kara,%20Sad%C4%B1k&rft.date=2006-05-01&rft.volume=36&rft.issue=5&rft.spage=484&rft.epage=494&rft.pages=484-494&rft.issn=0010-4825&rft.eissn=1879-0534&rft_id=info:doi/10.1016/j.compbiomed.2005.03.001&rft_dat=%3Cproquest_cross%3E19449826%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=19449826&rft_id=info:pmid/15922320&rft_els_id=S0010482505000454&rfr_iscdi=true |