Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis

This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals’ AR power spectral density graphic with the help of ANN. Multilayer feedforward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented in the MATLAB environm...

Full description

Saved in:

Bibliographic Details
Published in:	Computers in biology and medicine Vol. 36; no. 5; pp. 473 - 483
Main Authors:	Kara, Sadık, Güven, Ayşegül, Okandan, Mustafa, Dirgenali, Fatma
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.05.2006
Subjects:	Adult Algorithms Artificial Intelligence Artificial neural networks Autoregressive modeling Back propagation algorithm Computer Simulation Constriction, Pathologic - pathology False Positive Reactions Female Humans Levenberg Marquart method Male Mitral valve stenosis Mitral Valve Stenosis - diagnosis Mitral Valve Stenosis - pathology Neural Networks (Computer) Pattern Recognition, Automated Regression Analysis Sensitivity and Specificity Signal Processing, Computer-Assisted Mitral valve stenosis Autoregressive modeling Back propagation algorithm Levenberg Marquart method Artificial neural networks
ISSN:	0010-4825, 1879-0534
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals’ AR power spectral density graphic with the help of ANN. Multilayer feedforward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented in the MATLAB environment. Correct classification of 94% was achieved, whereas 4 false classifications have been observed for the test group of 68 subjects in total. The designed classification structure has about 97.3% sensitivity, 90.3% specifity and positive prediction is calculated to be 92.3%. The stated results show that the proposed method can make an effective interpretation.
AbstractList	This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals’ AR power spectral density graphic with the help of ANN. Multilayer feedforward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented in the MATLAB environment. Correct classification of 94% was achieved, whereas 4 false classifications have been observed for the test group of 68 subjects in total. The designed classification structure has about 97.3% sensitivity, 90.3% specifity and positive prediction is calculated to be 92.3%. The stated results show that the proposed method can make an effective interpretation. This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals' AR power spectral density graphic with the help of ANN. Multilayer feedforward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented in the MATLAB environment. Correct classification of 94% was achieved, whereas 4 false classifications have been observed for the test group of 68 subjects in total. The designed classification structure has about 97.3% sensitivity, 90.3% specifity and positive prediction is calculated to be 92.3%. The stated results show that the proposed method can make an effective interpretation.This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals' AR power spectral density graphic with the help of ANN. Multilayer feedforward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented in the MATLAB environment. Correct classification of 94% was achieved, whereas 4 false classifications have been observed for the test group of 68 subjects in total. The designed classification structure has about 97.3% sensitivity, 90.3% specifity and positive prediction is calculated to be 92.3%. The stated results show that the proposed method can make an effective interpretation.
Author	Güven, Ayşegül Dirgenali, Fatma Okandan, Mustafa Kara, Sadık
Author_xml	– sequence: 1 givenname: Sadık surname: Kara fullname: Kara, Sadık email: kara@erciyes.edu.tr organization: Department of Electronics Engineering, Biomedical Eng. Group, Erciyes University, 38039 Kayseri, Turkey – sequence: 2 givenname: Ayşegül surname: Güven fullname: Güven, Ayşegül email: aguven@erciyes.edu.tr organization: Department of Electronics, Civil Aviation School, Erciyes University, 38039 Kayseri, Turkey – sequence: 3 givenname: Mustafa surname: Okandan fullname: Okandan, Mustafa organization: Department of Electronics Engineering, Biomedical Eng. Group, Erciyes University, 38039 Kayseri, Turkey – sequence: 4 givenname: Fatma surname: Dirgenali fullname: Dirgenali, Fatma email: fdirgenali@tse.org.tr organization: Department of Electrical Engineering, 38039 Kayseri, Turkey
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/15890326$$D View this record in MEDLINE/PubMed
BookMark	eNqNkU1v1DAURS1URKeFv4CyYpfwnDiJs0FAxZdUiQ1dW47zMnrTxB5sZ6ry63E6RZW6YVZPts69i3su2Jl1FhnLOBQcePN-Vxg373tyMw5FCVAXwAuA9gXbcNl2OdSVOGMbAA65kGV9zi5C2AGAgApesXNeyw6qstkwuok00R8dydnMjZn2kUYypKfM4uIfTrxz_jZk2g6ZXqLzuPUYAh0wm92AE9ltRjYbSG-tC-trprgmD3pKTIi4fofX7OWop4BvHu8lu_n65dfV9_z657cfV5-ucyMaiDnno4HGoOSoG6g0mhJL2Xe9Kc0ox1qUXPQd71rZiroaynbgfTnyqtH12KA01SV7d-zde_d7wRDVTMHgNGmLbgmqaWUju7r-L8g7ITjILoFvH8GlT4OrvadZ-3v1b8UEyCNgvAvB4_iEgFqFqZ16EqZWYQq4SsJS9MOzqKH4YCNNSNMpBZ-PBZg2PRB6FQyhNTiQRxPV4OiUko_PSkzSSkZPt3h_WsVfse7RAA
CitedBy_id	crossref_primary_10_1002_dta_309 crossref_primary_10_1007_s00146_021_01239_4 crossref_primary_10_1007_s11356_011_0650_x crossref_primary_10_1016_j_neucom_2016_05_117 crossref_primary_10_1002_dta_325 crossref_primary_10_1016_j_compbiomed_2014_08_008 crossref_primary_10_1007_s12553_021_00555_5 crossref_primary_10_1007_s10916_007_9081_0 crossref_primary_10_1016_j_jscs_2011_06_007 crossref_primary_10_1016_j_proeng_2012_01_508
Cites_doi	10.1109/RCEMBS.1995.532173 10.1016/S0301-5629(97)00011-2 10.1109/10.563293 10.1148/radiology.192.3.7914706 10.1016/0301-5629(90)90089-U 10.1108/02602289710163355 10.1016/S0140-6736(95)92904-5 10.1016/S0957-4174(02)00042-8 10.1016/S0140-6736(95)91804-3 10.1016/S0010-4825(03)00011-8 10.1142/S0218488595000219 10.1016/0301-5629(89)90070-7 10.1109/ICASSP.1977.1170219 10.1088/0967-3334/14/1/003 10.1016/S0010-4825(96)00018-2 10.1016/S0301-5629(99)00015-0 10.1007/BF02457822 10.1162/neco.1990.2.4.480
ContentType	Journal Article
Copyright	2005 Elsevier Ltd
Copyright_xml	– notice: 2005 Elsevier Ltd
DBID	AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QO 8FD FR3 P64 7X8
DOI	10.1016/j.compbiomed.2005.01.007
DatabaseName	CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Biotechnology Research Abstracts Technology Research Database Engineering Research Database Biotechnology and BioEngineering Abstracts MEDLINE - Academic
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Engineering Research Database Biotechnology Research Abstracts Technology Research Database Biotechnology and BioEngineering Abstracts MEDLINE - Academic
DatabaseTitleList	Engineering Research Database MEDLINE MEDLINE - Academic
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Medicine
EISSN	1879-0534
EndPage	483
ExternalDocumentID	15890326 10_1016_j_compbiomed_2005_01_007 S0010482505000442
Genre	Journal Article
GroupedDBID	--- --K --M --Z -~X .1- .55 .DC .FO .GJ .~1 0R~ 1B1 1P~ 1RT 1~. 1~5 29F 4.4 457 4G. 53G 5GY 5VS 7-5 71M 77I 7RV 7X7 88E 8AO 8FE 8FG 8FH 8FI 8FJ 8G5 8P~ 9JN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AATTM AAXKI AAXUO AAYFN AAYWO ABBOA ABFNM ABJNI ABMAC ABMZM ABOCM ABUWG ABWVN ABXDB ACDAQ ACGFS ACIEU ACIUM ACIWK ACLOT ACNNM ACPRK ACRLP ACRPL ACVFH ACZNC ADBBV ADCNI ADEZE ADJOM ADMUD ADNMO AEBSH AEIPS AEKER AENEX AEUPX AEVXI AFJKZ AFKRA AFPUW AFRAH AFRHN AFTJW AFXIZ AGHFR AGQPQ AGUBO AGYEJ AHHHB AHMBA AHZHX AIALX AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX AOUOD APXCP ARAPS ASPBG AVWKF AXJTR AZFZN AZQEC BBNVY BENPR BGLVJ BHPHI BKEYQ BKOJK BLXMC BNPGV BPHCQ BVXVI CCPQU CS3 DU5 DWQXO EBS EFJIC EFKBS EFLBG EJD EMOBN EO8 EO9 EP2 EP3 EX3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN FYUFA G-2 G-Q GBLVA GBOLZ GNUQQ GUQSH HCIFZ HLZ HMCUK HMK HMO HVGLF HZ~ IHE J1W K6V K7- KOM LK8 LX9 M1P M29 M2O M41 M7P MO0 N9A NAPCQ O-L O9- OAUVE OZT P-8 P-9 P2P P62 PC. PHGZM PHGZT PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO Q38 R2- ROL RPZ RXW SAE SBC SCC SDF SDG SDP SEL SES SEW SPC SPCBC SSH SSV SSZ SV3 T5K TAE UAP UKHRP WOW WUQ X7M XPP Z5R ZGI ~G- ~HD 3V. AACTN AAIAV ABLVK ABYKQ AFKWA AHPSJ AJBFU AJOXV AMFUW LCYCR M0N RIG 9DU AAYXX AFFHD CITATION AFCTW ALIPV CGR CUY CVF ECM EIF NPM 7QO 8FD FR3 P64 7X8 PUEGO
ID	FETCH-LOGICAL-c460t-11fc06ce81ea603aec2e28b9bc2cf8f54214b919787453d27d1b2f136a5f6e8c3
ISICitedReferencesCount	15
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000237186300004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0010-4825
IngestDate	Thu Oct 02 08:09:12 EDT 2025 Mon Oct 06 18:06:19 EDT 2025 Wed Feb 19 01:39:00 EST 2025 Sat Nov 29 05:30:59 EST 2025 Tue Nov 18 21:49:52 EST 2025 Fri Feb 23 02:32:57 EST 2024 Tue Oct 14 19:36:06 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	5
Keywords	Mitral valve stenosis Autoregressive modeling Back propagation algorithm Levenberg Marquart method Artificial neural networks
Language	English
License	https://www.elsevier.com/tdm/userlicense/1.0
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c460t-11fc06ce81ea603aec2e28b9bc2cf8f54214b919787453d27d1b2f136a5f6e8c3
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
PMID	15890326
PQID	19441089
PQPubID	23462
PageCount	11
ParticipantIDs	proquest_miscellaneous_67868955 proquest_miscellaneous_19441089 pubmed_primary_15890326 crossref_primary_10_1016_j_compbiomed_2005_01_007 crossref_citationtrail_10_1016_j_compbiomed_2005_01_007 elsevier_sciencedirect_doi_10_1016_j_compbiomed_2005_01_007 elsevier_clinicalkey_doi_10_1016_j_compbiomed_2005_01_007
PublicationCentury	2000
PublicationDate	2006-05-01
PublicationDateYYYYMMDD	2006-05-01
PublicationDate_xml	– month: 05 year: 2006 text: 2006-05-01 day: 01
PublicationDecade	2000
PublicationPlace	United States
PublicationPlace_xml	– name: United States
PublicationTitle	Computers in biology and medicine
PublicationTitleAlternate	Comput Biol Med
PublicationYear	2006
Publisher	Elsevier Ltd
Publisher_xml	– name: Elsevier Ltd
References	M. Akay, Y.M. Akay, W. Welkowitz, Neural networks for the diagnosis of coronary artery disease, International Joint Conference on Neural Networks, IJCNN, vol. 2 (1992) pp. 419–424. Nanda (bib2) 1993 Edenbrandt, Heden, Pahlm (bib18) 1993; 26 Baxt (bib16) 1990; 2 J. Joseph, J.M. Brown, Introduction to Biomedical Equipment Technology, 1993. I. Guler, S. Kara, Detection of mitral stenosis by a pulsed Doppler flow meter and autoregressive spectral analysis method, Proceedings of the 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference, IEEE, New York, 1995, pp. 2/91–2/92. Simpson (bib25) 1989 Atıkson (bib29) 1982 Allen, Murray (bib15) 1993; 14 Miller, Blott, Harries (bib20) 1992; 30 S. Kara, A study of Mitral and Tricuspid valve blood flows by Autoregressive spectral analysis method and Doppler Unit, Thesis of Doctorate, Institute of Science of Erciyes, University Press, Nancy, 1995. Arenson (bib30) 1982 Lynn (bib14) 1982 Baykal, Reggia, Yalabik, Erkmen, Beksac (bib23) 1996; 26 Türkogˇlu, Arslan, İlkay (bib5) 2002; 23 Philpot, Yoganathan, Nanda (bib4) 1993 Siebler, Rose, Sitzer, Bender, Steinmetz (bib22) 1994; 192 Haykin (bib11) 1994 Baxt (bib17) 1995; 346 Chan, Chan, Lam, Lui, Poon (bib8) 1997; 44 Nichols, O’Rourke (bib13) 1990 Dybowski, Gant (bib21) 1995; 346 Keton, Schlindwein (bib6) 1997; 17 Hilera, Martinez, Mazo (bib19) 1995; 3 R.I. Kitney, D.P. Giddens, Linear estimation of blood flow waveforms measured by Doppler ultrasound, MEDINFO 86, North Holland, Elsevier Science Publishers, Amsterdam, 1986, pp. 672–677. Schlindwein, Evans (bib35) 1990; 16 Wright, Gough, Rakebrandt, Wahab, Woodcock (bib7) 1997; 23 Güler, Übeyli (bib26) 2003; 33 M.I. Plett, Ultrasonic arterial vibrometry with wavelet based detection and estimation, Ph.D. Thesis, University of Washington 2000, pp. 17–18. Beale, Jackson (bib10) 1990 Evans, Skidmore (bib24) 1989 Wright, Gough (bib12) 1999; 24 F.S. Schlindwein, D.H. Evans, Autoregressive spectral analysis as an alternative to fast Fourier transform analysis of Doppler ultrasound signals, in: Edward Arnold, Diagnostic Vascular Ultrasound, vol. 8, London, Oxford University Press, UK, 1992, pp. 74–84. A.V. Oppenheim, R.W. Schafer, Digital Signal Processing, 1975. S.L. Marple, Resolution of conventional Fourier, autoregressive, and ARMA methods of spectrum analysis, Proceedings of the IEEE International conference on ASSP, IEEE, Hartford, CT, 1977, pp. 74–77. Schlindwein, Evans (bib34) 1989; 15 Keton (10.1016/j.compbiomed.2005.01.007_bib6) 1997; 17 Lynn (10.1016/j.compbiomed.2005.01.007_bib14) 1982 Allen (10.1016/j.compbiomed.2005.01.007_bib15) 1993; 14 10.1016/j.compbiomed.2005.01.007_bib9 Haykin (10.1016/j.compbiomed.2005.01.007_bib11) 1994 Philpot (10.1016/j.compbiomed.2005.01.007_bib4) 1993 10.1016/j.compbiomed.2005.01.007_bib28 Wright (10.1016/j.compbiomed.2005.01.007_bib7) 1997; 23 Wright (10.1016/j.compbiomed.2005.01.007_bib12) 1999; 24 Nichols (10.1016/j.compbiomed.2005.01.007_bib13) 1990 Evans (10.1016/j.compbiomed.2005.01.007_bib24) 1989 Atıkson (10.1016/j.compbiomed.2005.01.007_bib29) 1982 Dybowski (10.1016/j.compbiomed.2005.01.007_bib21) 1995; 346 Simpson (10.1016/j.compbiomed.2005.01.007_bib25) 1989 Güler (10.1016/j.compbiomed.2005.01.007_bib26) 2003; 33 10.1016/j.compbiomed.2005.01.007_bib27 Schlindwein (10.1016/j.compbiomed.2005.01.007_bib34) 1989; 15 Siebler (10.1016/j.compbiomed.2005.01.007_bib22) 1994; 192 Nanda (10.1016/j.compbiomed.2005.01.007_bib2) 1993 Baxt (10.1016/j.compbiomed.2005.01.007_bib17) 1995; 346 Baykal (10.1016/j.compbiomed.2005.01.007_bib23) 1996; 26 Chan (10.1016/j.compbiomed.2005.01.007_bib8) 1997; 44 Beale (10.1016/j.compbiomed.2005.01.007_bib10) 1990 10.1016/j.compbiomed.2005.01.007_bib32 10.1016/j.compbiomed.2005.01.007_bib31 Baxt (10.1016/j.compbiomed.2005.01.007_bib16) 1990; 2 10.1016/j.compbiomed.2005.01.007_bib33 Hilera (10.1016/j.compbiomed.2005.01.007_bib19) 1995; 3 Arenson (10.1016/j.compbiomed.2005.01.007_bib30) 1982 10.1016/j.compbiomed.2005.01.007_bib36 Schlindwein (10.1016/j.compbiomed.2005.01.007_bib35) 1990; 16 Miller (10.1016/j.compbiomed.2005.01.007_bib20) 1992; 30 Edenbrandt (10.1016/j.compbiomed.2005.01.007_bib18) 1993; 26 10.1016/j.compbiomed.2005.01.007_bib3 10.1016/j.compbiomed.2005.01.007_bib1 Türkogˇlu (10.1016/j.compbiomed.2005.01.007_bib5) 2002; 23
References_xml	– year: 1989 ident: bib25 article-title: Artificial Neural Systems – reference: J. Joseph, J.M. Brown, Introduction to Biomedical Equipment Technology, 1993. – volume: 26 start-page: 66 year: 1993 end-page: 73 ident: bib18 article-title: Neural networks for analysis of ECG complexes publication-title: J. Electrocardiol. – year: 1990 ident: bib10 article-title: Neural Computing: An Introduction – volume: 30 start-page: 449 year: 1992 end-page: 464 ident: bib20 article-title: Review of neural network applications in medical imaging and signal processing publication-title: Med. Biol. Eng. Comput. – volume: 44 start-page: 237 year: 1997 end-page: 245 ident: bib8 article-title: Fast detection of venous air embolism is Doppler heart sound using the wavelet transform publication-title: IEEE Trans. Biomed. Eng. – volume: 2 start-page: 480 year: 1990 end-page: 489 ident: bib16 article-title: Use of an artificial neural network for data analysis in clinical decision making: the diagnosis of acute coronary occlusion publication-title: Neural Comput. – volume: 33 start-page: 333 year: 2003 end-page: 343 ident: bib26 article-title: Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network publication-title: Comput. Biol. Med. – volume: 15 start-page: 263 year: 1989 end-page: 272 ident: bib34 article-title: A real-time spectrum analyzer for Doppler ultrasound signals publication-title: Ultrasound Med. Biol. – reference: R.I. Kitney, D.P. Giddens, Linear estimation of blood flow waveforms measured by Doppler ultrasound, MEDINFO 86, North Holland, Elsevier Science Publishers, Amsterdam, 1986, pp. 672–677. – volume: 23 start-page: 683 year: 1997 end-page: 690 ident: bib7 article-title: Neural network analysis of Doppler ultrasound blood flow signals: a pilot study publication-title: Ultrasound Med. Biol. – reference: A.V. Oppenheim, R.W. Schafer, Digital Signal Processing, 1975. – volume: 14 start-page: 13 year: 1993 end-page: 22 ident: bib15 article-title: Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms publication-title: Physiol. Meas. – year: 1990 ident: bib13 article-title: McDonald's Blood Flow In Arteries: Theoretical, Experimental And Clinical Principles – volume: 24 start-page: 735 year: 1999 end-page: 743 ident: bib12 article-title: Artificial neural network analysis of common femoral artery Doppler shift signals: classification of proximal disease publication-title: Ultrasound Med. Biol. – reference: S.L. Marple, Resolution of conventional Fourier, autoregressive, and ARMA methods of spectrum analysis, Proceedings of the IEEE International conference on ASSP, IEEE, Hartford, CT, 1977, pp. 74–77. – reference: M.I. Plett, Ultrasonic arterial vibrometry with wavelet based detection and estimation, Ph.D. Thesis, University of Washington 2000, pp. 17–18. – volume: 3 start-page: 419 year: 1995 end-page: 430 ident: bib19 article-title: ECG signal processing with neural networks publication-title: Int. J. Uncert. Fuzzy Knowl. Based Systems – volume: 192 start-page: 739 year: 1994 end-page: 742 ident: bib22 article-title: Real-time identification of cerebral microemboli with ultrasound feature detection by a neural network publication-title: Radiology – volume: 26 start-page: 451 year: 1996 end-page: 462 ident: bib23 article-title: Feature discovery and classification of Doppler umbilical artery blood flow velocity waveforms publication-title: Comput. Med. Biol. – volume: 346 start-page: 1135 year: 1995 end-page: 1138 ident: bib17 article-title: Application of artificial neural networks to clinical medicine publication-title: Lancet – year: 1982 ident: bib14 article-title: An Introduction To The Analysis And Processing Of Signals – reference: M. Akay, Y.M. Akay, W. Welkowitz, Neural networks for the diagnosis of coronary artery disease, International Joint Conference on Neural Networks, IJCNN, vol. 2 (1992) pp. 419–424. – year: 1993 ident: bib2 article-title: Doppler Echocardiography – year: 1994 ident: bib11 article-title: Neural Networks: A Comprehensive Foundation – reference: S. Kara, A study of Mitral and Tricuspid valve blood flows by Autoregressive spectral analysis method and Doppler Unit, Thesis of Doctorate, Institute of Science of Erciyes, University Press, Nancy, 1995. – volume: 23 start-page: 229 year: 2002 end-page: 236 ident: bib5 article-title: An expert system for diagnosis of the heart valve diseases publication-title: Expert Systems Appl. – reference: F.S. Schlindwein, D.H. Evans, Autoregressive spectral analysis as an alternative to fast Fourier transform analysis of Doppler ultrasound signals, in: Edward Arnold, Diagnostic Vascular Ultrasound, vol. 8, London, Oxford University Press, UK, 1992, pp. 74–84. – year: 1993 ident: bib4 article-title: Future Directions In Doppler Echocardiography – volume: 17 start-page: 38 year: 1997 end-page: 45 ident: bib6 article-title: Application of wavelets in Doppler ultrasound publication-title: Emerald Sensor Rev. – year: 1989 ident: bib24 article-title: Doppler Ultrasound: Physics, Instrumentation and Clinical Applications – volume: 16 start-page: 81 year: 1990 end-page: 91 ident: bib35 article-title: Selection of the order of autoregressive models for spectral analysis of Doppler ultrasound signals publication-title: Ultrasound Med. Biol. – year: 1982 ident: bib30 article-title: Real-Time Two-Dimensional Blood Flow Imaging Using A Doppler Ultrasound Array – reference: I. Guler, S. Kara, Detection of mitral stenosis by a pulsed Doppler flow meter and autoregressive spectral analysis method, Proceedings of the 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference, IEEE, New York, 1995, pp. 2/91–2/92. – year: 1982 ident: bib29 article-title: Doppler Ultrasound And Its Use In Clinical Measurement – volume: 346 start-page: 1203 year: 1995 end-page: 1207 ident: bib21 article-title: Artificial neural networks in pathology and medical laboratories publication-title: Lancet – ident: 10.1016/j.compbiomed.2005.01.007_bib31 – ident: 10.1016/j.compbiomed.2005.01.007_bib9 doi: 10.1109/RCEMBS.1995.532173 – volume: 23 start-page: 683 issue: 5 year: 1997 ident: 10.1016/j.compbiomed.2005.01.007_bib7 article-title: Neural network analysis of Doppler ultrasound blood flow signals: a pilot study publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(97)00011-2 – ident: 10.1016/j.compbiomed.2005.01.007_bib33 – volume: 44 start-page: 237 issue: 4 year: 1997 ident: 10.1016/j.compbiomed.2005.01.007_bib8 article-title: Fast detection of venous air embolism is Doppler heart sound using the wavelet transform publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/10.563293 – volume: 192 start-page: 739 year: 1994 ident: 10.1016/j.compbiomed.2005.01.007_bib22 article-title: Real-time identification of cerebral microemboli with ultrasound feature detection by a neural network publication-title: Radiology doi: 10.1148/radiology.192.3.7914706 – volume: 16 start-page: 81 issue: 1 year: 1990 ident: 10.1016/j.compbiomed.2005.01.007_bib35 article-title: Selection of the order of autoregressive models for spectral analysis of Doppler ultrasound signals publication-title: Ultrasound Med. Biol. doi: 10.1016/0301-5629(90)90089-U – year: 1982 ident: 10.1016/j.compbiomed.2005.01.007_bib14 – year: 1993 ident: 10.1016/j.compbiomed.2005.01.007_bib2 – year: 1982 ident: 10.1016/j.compbiomed.2005.01.007_bib30 – ident: 10.1016/j.compbiomed.2005.01.007_bib27 – volume: 17 start-page: 38 issue: 1 year: 1997 ident: 10.1016/j.compbiomed.2005.01.007_bib6 article-title: Application of wavelets in Doppler ultrasound publication-title: Emerald Sensor Rev. doi: 10.1108/02602289710163355 – volume: 346 start-page: 1203 year: 1995 ident: 10.1016/j.compbiomed.2005.01.007_bib21 article-title: Artificial neural networks in pathology and medical laboratories publication-title: Lancet doi: 10.1016/S0140-6736(95)92904-5 – ident: 10.1016/j.compbiomed.2005.01.007_bib28 – volume: 23 start-page: 229 year: 2002 ident: 10.1016/j.compbiomed.2005.01.007_bib5 article-title: An expert system for diagnosis of the heart valve diseases publication-title: Expert Systems Appl. doi: 10.1016/S0957-4174(02)00042-8 – volume: 346 start-page: 1135 year: 1995 ident: 10.1016/j.compbiomed.2005.01.007_bib17 article-title: Application of artificial neural networks to clinical medicine publication-title: Lancet doi: 10.1016/S0140-6736(95)91804-3 – year: 1990 ident: 10.1016/j.compbiomed.2005.01.007_bib13 – year: 1989 ident: 10.1016/j.compbiomed.2005.01.007_bib25 – volume: 33 start-page: 333 year: 2003 ident: 10.1016/j.compbiomed.2005.01.007_bib26 article-title: Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network publication-title: Comput. Biol. Med. doi: 10.1016/S0010-4825(03)00011-8 – ident: 10.1016/j.compbiomed.2005.01.007_bib36 – ident: 10.1016/j.compbiomed.2005.01.007_bib3 – ident: 10.1016/j.compbiomed.2005.01.007_bib1 – volume: 3 start-page: 419 issue: 4 year: 1995 ident: 10.1016/j.compbiomed.2005.01.007_bib19 article-title: ECG signal processing with neural networks publication-title: Int. J. Uncert. Fuzzy Knowl. Based Systems doi: 10.1142/S0218488595000219 – volume: 26 start-page: 66 year: 1993 ident: 10.1016/j.compbiomed.2005.01.007_bib18 article-title: Neural networks for analysis of ECG complexes publication-title: J. Electrocardiol. – year: 1993 ident: 10.1016/j.compbiomed.2005.01.007_bib4 – volume: 15 start-page: 263 issue: 3 year: 1989 ident: 10.1016/j.compbiomed.2005.01.007_bib34 article-title: A real-time spectrum analyzer for Doppler ultrasound signals publication-title: Ultrasound Med. Biol. doi: 10.1016/0301-5629(89)90070-7 – year: 1994 ident: 10.1016/j.compbiomed.2005.01.007_bib11 – year: 1989 ident: 10.1016/j.compbiomed.2005.01.007_bib24 – ident: 10.1016/j.compbiomed.2005.01.007_bib32 doi: 10.1109/ICASSP.1977.1170219 – volume: 14 start-page: 13 year: 1993 ident: 10.1016/j.compbiomed.2005.01.007_bib15 article-title: Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms publication-title: Physiol. Meas. doi: 10.1088/0967-3334/14/1/003 – volume: 26 start-page: 451 issue: 6 year: 1996 ident: 10.1016/j.compbiomed.2005.01.007_bib23 article-title: Feature discovery and classification of Doppler umbilical artery blood flow velocity waveforms publication-title: Comput. Med. Biol. doi: 10.1016/S0010-4825(96)00018-2 – year: 1990 ident: 10.1016/j.compbiomed.2005.01.007_bib10 – volume: 24 start-page: 735 issue: 5 year: 1999 ident: 10.1016/j.compbiomed.2005.01.007_bib12 article-title: Artificial neural network analysis of common femoral artery Doppler shift signals: classification of proximal disease publication-title: Ultrasound Med. Biol. doi: 10.1016/S0301-5629(99)00015-0 – year: 1982 ident: 10.1016/j.compbiomed.2005.01.007_bib29 – volume: 30 start-page: 449 year: 1992 ident: 10.1016/j.compbiomed.2005.01.007_bib20 article-title: Review of neural network applications in medical imaging and signal processing publication-title: Med. Biol. Eng. Comput. doi: 10.1007/BF02457822 – volume: 2 start-page: 480 year: 1990 ident: 10.1016/j.compbiomed.2005.01.007_bib16 article-title: Use of an artificial neural network for data analysis in clinical decision making: the diagnosis of acute coronary occlusion publication-title: Neural Comput. doi: 10.1162/neco.1990.2.4.480
SSID	ssj0004030
Score	1.809434
Snippet	This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals’ AR power spectral density graphic with... This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals' AR power spectral density graphic with...
SourceID	proquest pubmed crossref elsevier
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	473
SubjectTerms	Adult Algorithms Artificial Intelligence Artificial neural networks Autoregressive modeling Back propagation algorithm Computer Simulation Constriction, Pathologic - pathology False Positive Reactions Female Humans Levenberg Marquart method Male Mitral valve stenosis Mitral Valve Stenosis - diagnosis Mitral Valve Stenosis - pathology Neural Networks (Computer) Pattern Recognition, Automated Regression Analysis Sensitivity and Specificity Signal Processing, Computer-Assisted
Title	Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis
URI	https://www.clinicalkey.com/#!/content/1-s2.0-S0010482505000442 https://dx.doi.org/10.1016/j.compbiomed.2005.01.007 https://www.ncbi.nlm.nih.gov/pubmed/15890326 https://www.proquest.com/docview/19441089 https://www.proquest.com/docview/67868955
Volume	36
WOSCitedRecordID	wos000237186300004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-0534 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: M7P dateStart: 20030101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: K7- dateStart: 20030101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: 7X7 dateStart: 20030101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Nursing & Allied Health Database customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: 7RV dateStart: 20030101 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest advanced technologies & aerospace journals customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: P5Z dateStart: 20030101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: BENPR dateStart: 20030101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Research Library customDbUrl: eissn: 1879-0534 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0004030 issn: 0010-4825 databaseCode: M2O dateStart: 20030101 isFulltext: true titleUrlDefault: https://search.proquest.com/pqrl providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbKhhAviOsol-IH9jRFiu04scXTWq0gjXXV2FDFS5Q4DuooadV21fiJ_Ct8TcqgoiDx4jZRHSU5X32O7e98B4DXuIgEjXISEBZmQRTnNMhwQQJeFESIkidhaSTz3yeDARuN-LDV-u5zYVaTpKrY9TWf_VdTq3PK2Dp19i_MXV9UnVDfldFVq8yu2q0Mf7EcT1xypdnknxs2kF4Y19qV5sMwv604c6Y1DKSZdGsOkSmM49JcCsvC00dfx3pB5EDd5kor0mqB8fFiPa71xSEMu3Zd2Onm3v1xZgobHXxQ0FJxbBfVmUJv9Z59t7ey4-Dht_0e3ed9-dmerokgp1_02odlIOvkr7L2K2r0Vi8ls_ne_WzpPM7akoYnEPphWjmHiNmMaD9MW50UB0e6NuZGthaKc9-RrYvzi2ewixSX2rAzq2zgFtSQVk9vvKFnANxwkjV10bPiLtPmSrqWJ01DlBpdg12cUK7ZhSf4tEnRDYnNhnJP5khllmr4-3vaFCltmgmZiOj8PrjnpjLw0ELwAWjJ6iG4c-IM_giM15AIpyVskAgtEqFHIlQmhT8jEXokwnEFGyRCi0RokAg9Eh-Di_7Ree9d4Cp7BCKKw2WAUCnCWEiGZBaHJJMCS8xyngssSlbSCKMo54gnuhgDKXBSoByXiMQZLWPJBHkCdqppJZ8CGAuEQxbJvIiKiImCZaGQhLJSEkHCErdB4t9iKpzsva6-Mkn_ZMk2QHXPmZV-2aIP94ZKfWqzcsapQuEWfd_UfV34a8PaLXu_8rhIlYfQ235ZJadXixRxNeUJGd_8CxWwxoxT2gZ7FlDN81LGQzXDe_YP7-I5uNv8uV-AneX8Sr4Et8VqOV7MO-BWcvZRt6PEtKwDdrtHg-GZOjpOgo75--g2Gap2SD_9AM3yAcY
linkProvider	ProQuest
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Utilization+of+artificial+neural+networks+and+autoregressive+modeling+in+diagnosing+mitral+valve+stenosis&rft.jtitle=Computers+in+biology+and+medicine&rft.au=Kara%2C+Sad%C4%B1k&rft.au=G%C3%BCven%2C+Ay%C5%9Feg%C3%BCl&rft.au=Okandan%2C+Mustafa&rft.au=Dirgenali%2C+Fatma&rft.date=2006-05-01&rft.issn=0010-4825&rft.volume=36&rft.issue=5&rft.spage=473&rft.epage=483&rft_id=info:doi/10.1016%2Fj.compbiomed.2005.01.007&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_compbiomed_2005_01_007
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0010-4825&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0010-4825&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0010-4825&client=summon