A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals
Abstract Background : Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to dete...
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Published in | Computers in biology and medicine Vol. 59; pp. 10 - 18 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.04.2015
Elsevier Limited |
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Abstract | Abstract Background : Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to detect specified swallowing events in an automatic manner. Methods : In this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN), a k-means based algorithm, and an algorithm based on quadratic variation as methods of differentiating periods of swallowing activity from periods of time without swallows. These algorithms utilized swallowing vibration data exclusively and compared the results to a gold standard measure of swallowing duration. Data was collected from 23 subjects that were actively suffering from swallowing difficulties. Results : Comparing the performance of the DBSCAN algorithm with a proven segmentation algorithm that utilizes k-means clustering demonstrated that the DBSCAN algorithm had a higher sensitivity and correctly segmented more swallows. Comparing its performance with a threshold-based algorithm that utilized the quadratic variation of the signal showed that the DBSCAN algorithm offered no direct increase in performance. However, it offered several other benefits including a faster run time and more consistent performance between patients. All algorithms showed noticeable differentiation from the endpoints provided by a videofluoroscopy examination as well as reduced sensitivity. Conclusions : In summary, we showed that the DBSCAN algorithm is a viable method for detecting the occurrence of a swallowing event using cervical auscultation signals, but significant work must be done to improve its performance before it can be implemented in an unsupervised manner. |
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AbstractList | Background: Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to detect specified swallowing events in an automatic manner. Methods: In this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN), a k-means based algorithm, and an algorithm based on quadratic variation as methods of differentiating periods of swallowing activity from periods of time without swallows. These algorithms utilized swallowing vibration data exclusively and compared the results to a gold standard measure of swallowing duration. Data was collected from 23 subjects that were actively suffering from swallowing difficulties. Results: Comparing the performance of the DBSCAN algorithm with a proven segmentation algorithm that utilizes k-means clustering demonstrated that the DBSCAN algorithm had a higher sensitivity and correctly segmented more swallows. Comparing its performance with a threshold-based algorithm that utilized the quadratic variation of the signal showed that the DBSCAN algorithm offered no direct increase in performance. However, it offered several other benefits including a faster run time and more consistent performance between patients. All algorithms showed noticeable differentiation from the endpoints provided by a videofluoroscopy examination as well as reduced sensitivity. Conclusions: In summary, we showed that the DBSCAN algorithm is a viable method for detecting the occurrence of a swallowing event using cervical auscultation signals, but significant work must be done to improve its performance before it can be implemented in an unsupervised manner. Background: Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to detect specified swallowing events in an automatic manner. Methods: In this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN), a k-means based algorithm, and an algorithm based on quadratic variation as methods of differentiating periods of swallowing activity from periods of time without swallows. These algorithms utilized swallowing vibration data exclusively and compared the results to a gold standard measure of swallowing duration. Data was collected from 23 subjects that were actively suffering from swallowing difficulties. Results: Comparing the performance of the DBSCAN algorithm with a proven segmentation algorithm that utilizes k-means clustering demonstrated that the DBSCAN algorithm had a higher sensitivity and correctly segmented more swallows. Comparing its performance with a threshold-based algorithm that utilized the quadratic variation of the signal showed that the DBSCAN algorithm offered no direct increase in performance. However, it offered several other benefits including a faster run time and more consistent performance between patients. All algorithms showed noticeable differentiation from the endpoints provided by a videofluoroscopy examination as well as reduced sensitivity. Conclusions: In summary, we showed that the DBSCAN algorithm is a viable method for detecting the occurrence of a swallowing event using cervical auscultation signals, but significant work must be done to improve its performance before it can be implemented in an unsupervised manner. •Three swallowing segmentation algorithms were compared.•The new DBSCAN algorithm can be used to segment swallowing vibrations.•The DBSCAN algorithm is outright superior to the k-means algorithm.•The DBSCAN algorithm has similar sensitivity to the quadratic variation algorithm.•The DBSCAN algorithm is the fastest and most easily applied to general data. BACKGROUNDCervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to detect specified swallowing events in an automatic manner.METHODSIn this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN), a k-means based algorithm, and an algorithm based on quadratic variation as methods of differentiating periods of swallowing activity from periods of time without swallows. These algorithms utilized swallowing vibration data exclusively and compared the results to a gold standard measure of swallowing duration. Data was collected from 23 subjects that were actively suffering from swallowing difficulties.RESULTSComparing the performance of the DBSCAN algorithm with a proven segmentation algorithm that utilizes k-means clustering demonstrated that the DBSCAN algorithm had a higher sensitivity and correctly segmented more swallows. Comparing its performance with a threshold-based algorithm that utilized the quadratic variation of the signal showed that the DBSCAN algorithm offered no direct increase in performance. However, it offered several other benefits including a faster run time and more consistent performance between patients. All algorithms showed noticeable differentiation from the endpoints provided by a videofluoroscopy examination as well as reduced sensitivity.CONCLUSIONSIn summary, we showed that the DBSCAN algorithm is a viable method for detecting the occurrence of a swallowing event using cervical auscultation signals, but significant work must be done to improve its performance before it can be implemented in an unsupervised manner. Abstract Background : Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to detect specified swallowing events in an automatic manner. Methods : In this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN), a k-means based algorithm, and an algorithm based on quadratic variation as methods of differentiating periods of swallowing activity from periods of time without swallows. These algorithms utilized swallowing vibration data exclusively and compared the results to a gold standard measure of swallowing duration. Data was collected from 23 subjects that were actively suffering from swallowing difficulties. Results : Comparing the performance of the DBSCAN algorithm with a proven segmentation algorithm that utilizes k-means clustering demonstrated that the DBSCAN algorithm had a higher sensitivity and correctly segmented more swallows. Comparing its performance with a threshold-based algorithm that utilized the quadratic variation of the signal showed that the DBSCAN algorithm offered no direct increase in performance. However, it offered several other benefits including a faster run time and more consistent performance between patients. All algorithms showed noticeable differentiation from the endpoints provided by a videofluoroscopy examination as well as reduced sensitivity. Conclusions : In summary, we showed that the DBSCAN algorithm is a viable method for detecting the occurrence of a swallowing event using cervical auscultation signals, but significant work must be done to improve its performance before it can be implemented in an unsupervised manner. Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing abnormalities. To be clinically useful without human involvement, any devices based on cervical auscultation should be able to detect specified swallowing events in an automatic manner. In this paper, we comparatively analyze the density-based spatial clustering of applications with noise algorithm (DBSCAN), a k-means based algorithm, and an algorithm based on quadratic variation as methods of differentiating periods of swallowing activity from periods of time without swallows. These algorithms utilized swallowing vibration data exclusively and compared the results to a gold standard measure of swallowing duration. Data was collected from 23 subjects that were actively suffering from swallowing difficulties. Comparing the performance of the DBSCAN algorithm with a proven segmentation algorithm that utilizes k-means clustering demonstrated that the DBSCAN algorithm had a higher sensitivity and correctly segmented more swallows. Comparing its performance with a threshold-based algorithm that utilized the quadratic variation of the signal showed that the DBSCAN algorithm offered no direct increase in performance. However, it offered several other benefits including a faster run time and more consistent performance between patients. All algorithms showed noticeable differentiation from the endpoints provided by a videofluoroscopy examination as well as reduced sensitivity. In summary, we showed that the DBSCAN algorithm is a viable method for detecting the occurrence of a swallowing event using cervical auscultation signals, but significant work must be done to improve its performance before it can be implemented in an unsupervised manner. |
Author | Dudik, Joshua M Sejdić, Ervin Kurosu, Atsuko Coyle, James L |
AuthorAffiliation | 1 Department of Electrical and Computer Engineering, Swanson School of Enginering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA, USA, 15261. Phone: 412-624-0508 2 Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 4028 Forbes Tower, Pittsburgh, PA, USA, 15260 |
AuthorAffiliation_xml | – name: 1 Department of Electrical and Computer Engineering, Swanson School of Enginering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA, USA, 15261. Phone: 412-624-0508 – name: 2 Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 4028 Forbes Tower, Pittsburgh, PA, USA, 15260 |
Author_xml | – sequence: 1 fullname: Dudik, Joshua M – sequence: 2 fullname: Kurosu, Atsuko – sequence: 3 fullname: Coyle, James L – sequence: 4 fullname: Sejdić, Ervin |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25658505$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1109/TSP.2010.2043972 10.1109/TBME.2008.2010504 10.1109/IEMBS.2011.6091735 10.1016/j.medengphy.2010.04.008 10.1007/PL00009583 10.1109/IJCNN.2007.4371197 10.1007/s00455-006-9074-z 10.1016/j.medengphy.2009.07.001 10.1109/IEMBS.2007.4352992 10.1016/S0016-5085(99)70143-5 10.1044/jslhr.4305.1264 10.1016/j.otohns.2010.03.027 10.1016/S0169-2607(00)00099-7 10.1007/BF00261276 10.1177/000348949110000815 10.1007/s10439-009-9874-z 10.1016/0010-4825(88)90041-8 10.1007/s00455-005-0013-1 10.1016/j.chaos.2006.09.026 10.1161/01.STR.27.7.1200 10.1007/s00455-006-9031-x 10.1007/s00455-012-9415-z 10.1007/BF02414429 10.1177/000348940211100710 10.1007/s004550010015 10.1007/s00455-012-9437-6 10.1016/j.pmrj.2012.01.002 10.1371/journal.pone.0033464 10.1109/TBME.2004.836504 10.1088/0967-3334/29/9/008 10.1007/s00455-001-0087-3 10.1186/1475-925X-14-3 10.1016/j.jamda.2008.10.003 10.1016/S0021-9924(00)00041-1 10.1111/j.1365-2648.2008.04915.x 10.1016/0003-9993(93)90035-9 |
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Keywords | Swallowing accelerometry Dysphagia Segmentation Cervical auscultation Novelty detection |
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References | R. Campello, D. Moulavi, J. Sander, Advances in knowledge discovery and data mining, in: Lecture Notes in Computer Science, vol. 7819, Springer-Verlag, Berlin, Heidelberg, 2013. Sejdić, Falk, Steele, Chau (bib43) 2010; 32 I. Cook, P. Kahrilas, American Gastroenterological Association Technical Review on management of oropharyngeal dysphagia, Technical Report 116 (2), American Gastroenterological Association, 1999. L. Lazareck, Z. Moussavi, Swallowing sound characteristics in healthy and dysphagic individuals, in: The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2, San Francisco, CA, 2004, pp. 3820–3823. Orovic, Stankovic, Chau, Steele, Sejdic (bib31) 2010; 2010 Bours, Speyer, Lemmens, Limburg, de Wit (bib53) 2009; 65 Logemann, Pauloski, Rademaker, Colangelo, Kahrilas, Smith (bib55) 2000; 43 Shem, Castillo, Wong, Chang, Kao, Kolakowsky-Hayner (bib22) 2012; 4 Lee, Steele, Chau (bib30) 2008; 29 Shanahan, Logemann, Rademaker, Pauloski, Kahrilas (bib46) 1993; 74 Sejdić, Steele, Chau (bib44) 2012; 7 Molfenter, Steele (bib50) 2013; 28 Bonilha, Humphries, Blair, Hill, McGrattan, Carnes (bib9) 2013; 28 Full revision of the international standards for equal-loudness level contours (iso 226) (October 2003). Leslie, Drinnan, Finn, Ford, Wilson (bib20) 2004; 19 Damouras, Sejdić, Steele, Chau (bib35) 2010; 58 da Silva, Neto, Santoro (bib11) 2010; 143 L. Lazareck, S. Ramanna, Classification of swallowing sound signals: a rough set approach, in: Lecture Notes in Computer Science, vol. 3066, Springer, Berlin, Heidelberg, 2004. Spieker (bib1) 2000; 61 Burkhead, Sapienza, Rosenbek (bib54) 2007; 22 A. Castrogiovanni, Communication Facts: Special Population: Dysphagia, Technical Report, American Speech-Language-Hearing Association, 2200 Research Boulevard, Rockville, MD 20850, 2008. Coyle, Davis, Easterling, Graner, Langmore, Leder, Lefton-Greif, Leslie, Logemann, Mackay, Martin-Harris, Murray, Sonies, Steele (bib4) 2009; 10 Zenner, Losinski, Mills (bib21) 1995; 10 Lee, Steele, Chau (bib24) 2009; 31 Doggett, Tappe, Mitchell, Chapell, Coates, Turkelson (bib17) 2001; 16 Dudik, Jestrović, Luan, Coyle, Sejdić (bib18) 2015; 14 J. Logemann, Manual for the Videofluorographic Study of Swallowing, 2nd edition, Pro ed., 1993. D. Talkin, Speech Coding and Synthesis, Elsevier Science B.V., 1995, Chapter A Robust Algorithm for Pitch Tracking (RAPT), pp. 495–518. Langmore, Schatz, Olson (bib13) 1991; 100 Jestrović, Dudik, Luan, Coyle, Sejdić (bib19) 2013; 12 J. MacQueen, Some methods for classification and analysis of multivariate observations, in: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, University of California Press, 1967, pp. 281–297. Sejdić, Komisar, Steele, Chau (bib41) 2010; 38 Smithard, O׳Neill, Park, Morris, Wyatt, England, Martin (bib2) 1996; 27 Martin-Harris, Logemann, McMahon, Schleicher, Sandidge (bib14) 2000; 15 Nacci, Ursino, Vela, Matteucci, Mallardi, Fattori (bib15) 2008; 28 Logemann, Veis, Colangelo (bib52) 1999; 14 J. Logemann, Evaluation and Treatment of Swallowing Disorders, 2nd edition, Pro ed., 1998. Langmore, Schatz, Olsen (bib12) 1988; 2 Makeyev, Sazonov, Schuckers, Lopez-Meyer, Baidyk, Melanson, Neuman (bib28) 2009; vol. 15 O. Makeyev, S. Schuckers, P. Lopez-Meyer, E. Melanson, M. Neuman, Limited receptive area neural classifier for recognition of swallowing sounds using short-time fourier transform, in: The 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, FR, 2007, pp. 1417.1–1417.6. Lazareck, Moussavi (bib34) 2004; 51 Youmans, Stierwalt (bib45) 2005; 20 Katz (bib48) 1988; 18 McCullough, Wertz, Rosenbek (bib16) 2001; 34 Aboofazeli, Moussavi (bib49) 2008; 37 O. Makeyev, S. Schuckers, P. Lopez-Meyer, E. Melanson, M. Neuman, Limited receptive area neural classifier for recognition of swallowing sounds using continuous wavelet transform, in: The 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, FR, 2007, pp. 3128–3131. Sejdić, Steele, Chau (bib36) 2009; 56 Nikjoo, Steele, Sejdić, Chau (bib37) 2011; 10 Welch, Logemann, Rademaker, Kahrlas (bib47) 1993; 74 J. Fontana, P. Melo, E. Sazonov, Swallowing detection by sonic and subsonic frequencies: a comparison, in: The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 1, Boston, MA, 2011, pp. 6890–6893. Ester, Kriegel, Sander, Xu (bib39) 1996; vol. 1 Rugiu (bib6) 2007; 27 Cichero, Murdoch (bib51) 2002; 11 Zammit-Maempel, Chapple, Leslie (bib10) 2006; 22 Das, Reddy, Narayanan (bib25) 2001; 64 Bours (10.1016/j.compbiomed.2015.01.007_bib53) 2009; 65 10.1016/j.compbiomed.2015.01.007_bib8 10.1016/j.compbiomed.2015.01.007_bib7 10.1016/j.compbiomed.2015.01.007_bib32 10.1016/j.compbiomed.2015.01.007_bib33 Smithard (10.1016/j.compbiomed.2015.01.007_bib2) 1996; 27 10.1016/j.compbiomed.2015.01.007_bib38 Logemann (10.1016/j.compbiomed.2015.01.007_bib55) 2000; 43 Bonilha (10.1016/j.compbiomed.2015.01.007_bib9) 2013; 28 Doggett (10.1016/j.compbiomed.2015.01.007_bib17) 2001; 16 Damouras (10.1016/j.compbiomed.2015.01.007_bib35) 2010; 58 Shanahan (10.1016/j.compbiomed.2015.01.007_bib46) 1993; 74 Spieker (10.1016/j.compbiomed.2015.01.007_bib1) 2000; 61 Logemann (10.1016/j.compbiomed.2015.01.007_bib52) 1999; 14 Lee (10.1016/j.compbiomed.2015.01.007_bib24) 2009; 31 Cichero (10.1016/j.compbiomed.2015.01.007_bib51) 2002; 11 Lazareck (10.1016/j.compbiomed.2015.01.007_bib34) 2004; 51 10.1016/j.compbiomed.2015.01.007_bib23 Ester (10.1016/j.compbiomed.2015.01.007_bib39) 1996; vol. 1 Coyle (10.1016/j.compbiomed.2015.01.007_bib4) 2009; 10 10.1016/j.compbiomed.2015.01.007_bib26 10.1016/j.compbiomed.2015.01.007_bib27 10.1016/j.compbiomed.2015.01.007_bib29 Rugiu (10.1016/j.compbiomed.2015.01.007_bib6) 2007; 27 McCullough (10.1016/j.compbiomed.2015.01.007_bib16) 2001; 34 Molfenter (10.1016/j.compbiomed.2015.01.007_bib50) 2013; 28 Zenner (10.1016/j.compbiomed.2015.01.007_bib21) 1995; 10 Sejdić (10.1016/j.compbiomed.2015.01.007_bib43) 2010; 32 Burkhead (10.1016/j.compbiomed.2015.01.007_bib54) 2007; 22 Das (10.1016/j.compbiomed.2015.01.007_bib25) 2001; 64 Dudik (10.1016/j.compbiomed.2015.01.007_bib18) 2015; 14 Zammit-Maempel (10.1016/j.compbiomed.2015.01.007_bib10) 2006; 22 Martin-Harris (10.1016/j.compbiomed.2015.01.007_bib14) 2000; 15 Welch (10.1016/j.compbiomed.2015.01.007_bib47) 1993; 74 Langmore (10.1016/j.compbiomed.2015.01.007_bib12) 1988; 2 Makeyev (10.1016/j.compbiomed.2015.01.007_bib28) 2009; vol. 15 Nikjoo (10.1016/j.compbiomed.2015.01.007_bib37) 2011; 10 Langmore (10.1016/j.compbiomed.2015.01.007_bib13) 1991; 100 Youmans (10.1016/j.compbiomed.2015.01.007_bib45) 2005; 20 Aboofazeli (10.1016/j.compbiomed.2015.01.007_bib49) 2008; 37 10.1016/j.compbiomed.2015.01.007_bib40 10.1016/j.compbiomed.2015.01.007_bib42 Katz (10.1016/j.compbiomed.2015.01.007_bib48) 1988; 18 Sejdić (10.1016/j.compbiomed.2015.01.007_bib44) 2012; 7 Sejdić (10.1016/j.compbiomed.2015.01.007_bib36) 2009; 56 Shem (10.1016/j.compbiomed.2015.01.007_bib22) 2012; 4 Lee (10.1016/j.compbiomed.2015.01.007_bib30) 2008; 29 Sejdić (10.1016/j.compbiomed.2015.01.007_bib41) 2010; 38 Nacci (10.1016/j.compbiomed.2015.01.007_bib15) 2008; 28 Jestrović (10.1016/j.compbiomed.2015.01.007_bib19) 2013; 12 da Silva (10.1016/j.compbiomed.2015.01.007_bib11) 2010; 143 Orovic (10.1016/j.compbiomed.2015.01.007_bib31) 2010; 2010 10.1016/j.compbiomed.2015.01.007_bib3 10.1016/j.compbiomed.2015.01.007_bib5 Leslie (10.1016/j.compbiomed.2015.01.007_bib20) 2004; 19 |
References_xml | – volume: 74 start-page: 736 year: 1993 end-page: 739 ident: bib46 article-title: Chin-down posture effect on aspiration in dysphagic patients publication-title: Arch. Phys. Med. Rehabil. contributor: fullname: Kahrilas – volume: 2 start-page: 216 year: 1988 end-page: 219 ident: bib12 article-title: Fiberoptic endoscopic examination of swallowing safety publication-title: Dysphagia contributor: fullname: Olsen – volume: 10 start-page: 27 year: 1995 end-page: 31 ident: bib21 article-title: Using cervical auscultation in the clinical dysphagia examination in long-term care publication-title: Dysphagia contributor: fullname: Mills – volume: 14 start-page: 3-1 year: 2015 end-page: 3-15 ident: bib18 article-title: A comparative analysis of swallowing accelerometry and sounds during saliva swallows publication-title: Biomed. Eng. Online contributor: fullname: Sejdić – volume: 29 start-page: 1105 year: 2008 end-page: 1120 ident: bib30 article-title: Time and time-frequency characterization of dual-axis swallowing accelerometry signals publication-title: Physiol. Meas. contributor: fullname: Chau – volume: 14 start-page: 44 year: 1999 end-page: 51 ident: bib52 article-title: A screening procedure for oropharyngeal dysphagia publication-title: Dysphagia contributor: fullname: Colangelo – volume: 18 start-page: 145 year: 1988 end-page: 156 ident: bib48 article-title: Fractals and the analysis of waveforms publication-title: Comput. Biol. Med. contributor: fullname: Katz – volume: 100 start-page: 678 year: 1991 end-page: 681 ident: bib13 article-title: Endoscopic and videofluoroscopic evaluations of swallowing and aspiration publication-title: Ann. Otol. Rhinol. Laryngol. contributor: fullname: Olson – volume: 15 start-page: 136 year: 2000 end-page: 141 ident: bib14 article-title: Clinical utility of the modified barium swallow publication-title: Dysphagia contributor: fullname: Sandidge – volume: 58 start-page: 3352 year: 2010 end-page: 3359 ident: bib35 article-title: An online swallow detection algorithm based on the quadratic variation of dual-axis accelerometry publication-title: IEEE Trans. Signal Process. contributor: fullname: Chau – volume: 2010 start-page: 1 year: 2010 end-page: 7 ident: bib31 article-title: Time-frequency analysis and hermite projection method applied to swallowing accelerometry signals publication-title: J. Adv. Signal Process. contributor: fullname: Sejdic – volume: 20 start-page: 195 year: 2005 end-page: 209 ident: bib45 article-title: An acoustic profile of normal swallowing publication-title: Dysphagia contributor: fullname: Stierwalt – volume: 65 start-page: 477 year: 2009 end-page: 493 ident: bib53 article-title: Bedside screening tests vs. videofluoroscopy or fiberoptic endoscopic evaluation of swallowing to detect dysphagia in patients with neurological disorders publication-title: J. Adv. Nurs. contributor: fullname: de Wit – volume: 22 start-page: 251 year: 2007 end-page: 265 ident: bib54 article-title: Strength-training exercise in dysphagia rehabilitation publication-title: Dysphagia contributor: fullname: Rosenbek – volume: 12 start-page: 1 year: 2013 end-page: 17 ident: bib19 article-title: The effects of increased fluid viscosity on swallowing sounds in healthy adults publication-title: Biomed. Eng. Online contributor: fullname: Sejdić – volume: vol. 15 year: 2009 ident: bib28 publication-title: Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier contributor: fullname: Neuman – volume: 28 start-page: 226 year: 2013 end-page: 233 ident: bib50 article-title: Variation in temporal measures of swallowing: Sex and volume effects publication-title: Dysphagia contributor: fullname: Steele – volume: 28 start-page: 206 year: 2008 end-page: 211 ident: bib15 article-title: Fiberoptic endoscopic evaluation of swallowing (fees) publication-title: Acta Otorhinol. Ital.: Organo Ufficiale Della Societa Italiana Di Otorinolaringologia E Chirurgia Cervico-Facciale contributor: fullname: Fattori – volume: 11 start-page: 623 year: 2002 end-page: 632 ident: bib51 article-title: Acoustic signature of the normal swallow publication-title: Ann. Otol. Rhinol. Laryngol. contributor: fullname: Murdoch – volume: 27 start-page: 306 year: 2007 end-page: 316 ident: bib6 article-title: Role of videofluoroscopy in evaluation of neurologic dysphagia publication-title: ACTA Otorhinolaryngol. Ital. contributor: fullname: Rugiu – volume: 7 start-page: 1 year: 2012 end-page: 8 ident: bib44 article-title: A method for removal of low frequency components associated with head movements from dual-axis swallowing accelerometry signals publication-title: PLoS ONE contributor: fullname: Chau – volume: 31 start-page: 1049 year: 2009 end-page: 1055 ident: bib24 article-title: Swallow segmentation with artificial neural networks and multi-sensor fusion publication-title: Med. Eng. Phys. contributor: fullname: Chau – volume: 19 start-page: 231 year: 2004 end-page: 240 ident: bib20 article-title: Reliability and validity of cervical auscultation publication-title: Dysphagia contributor: fullname: Wilson – volume: 51 start-page: 2103 year: 2004 end-page: 2112 ident: bib34 article-title: Classification of normal and dysphagic swallow by acoustical means publication-title: IEEE Trans. Biomed. Eng. contributor: fullname: Moussavi – volume: 34 start-page: 55 year: 2001 end-page: 72 ident: bib16 article-title: Sensitivity and specificity of clinical/bedside examination signs for detecting aspiration in adults subsequent to stroke publication-title: J. Commun. Disord. contributor: fullname: Rosenbek – volume: 43 start-page: 1264 year: 2000 end-page: 1274 ident: bib55 article-title: Temporal and biomechanical characteristics of oropharyngeal swallow inyounger and older men publication-title: J. Speech, Language, Hearing Research: JSLHR contributor: fullname: Smith – volume: 22 start-page: 13 year: 2006 end-page: 15 ident: bib10 article-title: Radiation dose in videofluoroscopic swallow studies publication-title: Dysphagia contributor: fullname: Leslie – volume: 32 start-page: 668 year: 2010 end-page: 672 ident: bib43 article-title: Vocalization removal for improved automatic segmentation of dual-axis swallowing accelerometry signals publication-title: Med. Eng. Phys. contributor: fullname: Chau – volume: 143 start-page: 204 year: 2010 end-page: 209 ident: bib11 article-title: Comparison between videofluoroscopy and endoscopic evaluation of swallowing for the diagnosis of dysphagia in children publication-title: Otolaryngol. Head Neck Surg. contributor: fullname: Santoro – volume: 56 start-page: 1090 year: 2009 end-page: 1097 ident: bib36 article-title: Segmentation of dual-axis swallowing accelerometry signals in healthy subjects with analysis of anthropometric effects on duration of swallowing activities publication-title: IEEE Trans. Biomed. Eng. contributor: fullname: Chau – volume: 37 start-page: 454 year: 2008 end-page: 464 ident: bib49 article-title: Comparison of recurrence plot features of swallowing and breathe sounds publication-title: Chaos Solit. Fract. contributor: fullname: Moussavi – volume: 10 start-page: 62 year: 2009 end-page: 66 ident: bib4 article-title: Oropharyngeal dysphagia assessment and treatment efficacy publication-title: J. Am. Med. Dir. Assoc. contributor: fullname: Steele – volume: 28 start-page: 77 year: 2013 end-page: 85 ident: bib9 article-title: Radiation exposure time during MBSS publication-title: Dysphagia contributor: fullname: Carnes – volume: 74 start-page: 178 year: 1993 end-page: 181 ident: bib47 article-title: Changes in pharyngeal dimensions effected by chin tuck publication-title: Arch. Phys. Med. Rehabil. contributor: fullname: Kahrlas – volume: 4 start-page: 283 year: 2012 end-page: 289 ident: bib22 article-title: Diagnostic accuracy of bedside swallow evaluation versus videofluoroscopy to assess dysphagia in individuals with tetraplegia publication-title: PM&R contributor: fullname: Kolakowsky-Hayner – volume: 10 start-page: 1 year: 2011 end-page: 17 ident: bib37 article-title: Automatic discrimination between safe and unsafe swallowing using a reputation-based classifier publication-title: Biomed. Eng. Online contributor: fullname: Chau – volume: 16 start-page: 279 year: 2001 end-page: 295 ident: bib17 article-title: Prevention of pneumonia in elderly stroke patients by systematic diagnosis and treatment of dysphagia publication-title: Dysphagia contributor: fullname: Turkelson – volume: 61 start-page: 3639 year: 2000 end-page: 3648 ident: bib1 article-title: Evaluating dysphagia publication-title: Am. Fam. Phys. contributor: fullname: Spieker – volume: vol. 1 start-page: 226 year: 1996 end-page: 231 ident: bib39 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise publication-title: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining contributor: fullname: Xu – volume: 27 start-page: 1200 year: 1996 end-page: 1204 ident: bib2 article-title: Complications and outcome after acute stroke does. Dysphagia matter? publication-title: Stroke contributor: fullname: Martin – volume: 38 start-page: 1048 year: 2010 end-page: 1059 ident: bib41 article-title: Baseline characteristics of dual-axis cervical accelerometry signals publication-title: Ann. Biomed. Eng. contributor: fullname: Chau – volume: 64 start-page: 87 year: 2001 end-page: 99 ident: bib25 article-title: Hybrid fuzzy logic committee neural networks for recognition of swallow acceleration signals publication-title: Comput. Methods Programs Biomed. contributor: fullname: Narayanan – volume: 58 start-page: 3352 issue: 6 year: 2010 ident: 10.1016/j.compbiomed.2015.01.007_bib35 article-title: An online swallow detection algorithm based on the quadratic variation of dual-axis accelerometry publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2010.2043972 contributor: fullname: Damouras – volume: 56 start-page: 1090 issue: 4 year: 2009 ident: 10.1016/j.compbiomed.2015.01.007_bib36 article-title: Segmentation of dual-axis swallowing accelerometry signals in healthy subjects with analysis of anthropometric effects on duration of swallowing activities publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2008.2010504 contributor: fullname: Sejdić – ident: 10.1016/j.compbiomed.2015.01.007_bib29 doi: 10.1109/IEMBS.2011.6091735 – volume: 19 start-page: 231 issue: 4 year: 2004 ident: 10.1016/j.compbiomed.2015.01.007_bib20 article-title: Reliability and validity of cervical auscultation publication-title: Dysphagia contributor: fullname: Leslie – volume: 32 start-page: 668 issue: 6 year: 2010 ident: 10.1016/j.compbiomed.2015.01.007_bib43 article-title: Vocalization removal for improved automatic segmentation of dual-axis swallowing accelerometry signals publication-title: Med. Eng. Phys. doi: 10.1016/j.medengphy.2010.04.008 contributor: fullname: Sejdić – volume: 28 start-page: 206 issue: 3 year: 2008 ident: 10.1016/j.compbiomed.2015.01.007_bib15 article-title: Fiberoptic endoscopic evaluation of swallowing (fees) publication-title: Acta Otorhinol. Ital.: Organo Ufficiale Della Societa Italiana Di Otorinolaringologia E Chirurgia Cervico-Facciale contributor: fullname: Nacci – volume: 14 start-page: 44 issue: 1 year: 1999 ident: 10.1016/j.compbiomed.2015.01.007_bib52 article-title: A screening procedure for oropharyngeal dysphagia publication-title: Dysphagia doi: 10.1007/PL00009583 contributor: fullname: Logemann – ident: 10.1016/j.compbiomed.2015.01.007_bib27 doi: 10.1109/IJCNN.2007.4371197 – volume: 22 start-page: 251 year: 2007 ident: 10.1016/j.compbiomed.2015.01.007_bib54 article-title: Strength-training exercise in dysphagia rehabilitation publication-title: Dysphagia doi: 10.1007/s00455-006-9074-z contributor: fullname: Burkhead – volume: 31 start-page: 1049 issue: 9 year: 2009 ident: 10.1016/j.compbiomed.2015.01.007_bib24 article-title: Swallow segmentation with artificial neural networks and multi-sensor fusion publication-title: Med. Eng. Phys. doi: 10.1016/j.medengphy.2009.07.001 contributor: fullname: Lee – volume: vol. 15 year: 2009 ident: 10.1016/j.compbiomed.2015.01.007_bib28 contributor: fullname: Makeyev – ident: 10.1016/j.compbiomed.2015.01.007_bib40 – ident: 10.1016/j.compbiomed.2015.01.007_bib26 doi: 10.1109/IEMBS.2007.4352992 – ident: 10.1016/j.compbiomed.2015.01.007_bib38 – ident: 10.1016/j.compbiomed.2015.01.007_bib5 doi: 10.1016/S0016-5085(99)70143-5 – volume: 43 start-page: 1264 issue: 5 year: 2000 ident: 10.1016/j.compbiomed.2015.01.007_bib55 article-title: Temporal and biomechanical characteristics of oropharyngeal swallow inyounger and older men publication-title: J. Speech, Language, Hearing Research: JSLHR doi: 10.1044/jslhr.4305.1264 contributor: fullname: Logemann – volume: 143 start-page: 204 issue: 2 year: 2010 ident: 10.1016/j.compbiomed.2015.01.007_bib11 article-title: Comparison between videofluoroscopy and endoscopic evaluation of swallowing for the diagnosis of dysphagia in children publication-title: Otolaryngol. Head Neck Surg. doi: 10.1016/j.otohns.2010.03.027 contributor: fullname: da Silva – volume: 2010 start-page: 1 issue: 1 year: 2010 ident: 10.1016/j.compbiomed.2015.01.007_bib31 article-title: Time-frequency analysis and hermite projection method applied to swallowing accelerometry signals publication-title: J. Adv. Signal Process. contributor: fullname: Orovic – volume: 74 start-page: 178 issue: 2 year: 1993 ident: 10.1016/j.compbiomed.2015.01.007_bib47 article-title: Changes in pharyngeal dimensions effected by chin tuck publication-title: Arch. Phys. Med. Rehabil. contributor: fullname: Welch – volume: 64 start-page: 87 issue: 2 year: 2001 ident: 10.1016/j.compbiomed.2015.01.007_bib25 article-title: Hybrid fuzzy logic committee neural networks for recognition of swallow acceleration signals publication-title: Comput. Methods Programs Biomed. doi: 10.1016/S0169-2607(00)00099-7 contributor: fullname: Das – ident: 10.1016/j.compbiomed.2015.01.007_bib23 – volume: vol. 1 start-page: 226 year: 1996 ident: 10.1016/j.compbiomed.2015.01.007_bib39 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise contributor: fullname: Ester – volume: 10 start-page: 27 issue: 1 year: 1995 ident: 10.1016/j.compbiomed.2015.01.007_bib21 article-title: Using cervical auscultation in the clinical dysphagia examination in long-term care publication-title: Dysphagia doi: 10.1007/BF00261276 contributor: fullname: Zenner – volume: 100 start-page: 678 issue: 8 year: 1991 ident: 10.1016/j.compbiomed.2015.01.007_bib13 article-title: Endoscopic and videofluoroscopic evaluations of swallowing and aspiration publication-title: Ann. Otol. Rhinol. Laryngol. doi: 10.1177/000348949110000815 contributor: fullname: Langmore – volume: 38 start-page: 1048 issue: 3 year: 2010 ident: 10.1016/j.compbiomed.2015.01.007_bib41 article-title: Baseline characteristics of dual-axis cervical accelerometry signals publication-title: Ann. Biomed. Eng. doi: 10.1007/s10439-009-9874-z contributor: fullname: Sejdić – volume: 18 start-page: 145 issue: 3 year: 1988 ident: 10.1016/j.compbiomed.2015.01.007_bib48 article-title: Fractals and the analysis of waveforms publication-title: Comput. Biol. Med. doi: 10.1016/0010-4825(88)90041-8 contributor: fullname: Katz – volume: 20 start-page: 195 issue: 3 year: 2005 ident: 10.1016/j.compbiomed.2015.01.007_bib45 article-title: An acoustic profile of normal swallowing publication-title: Dysphagia doi: 10.1007/s00455-005-0013-1 contributor: fullname: Youmans – volume: 37 start-page: 454 issue: 2 year: 2008 ident: 10.1016/j.compbiomed.2015.01.007_bib49 article-title: Comparison of recurrence plot features of swallowing and breathe sounds publication-title: Chaos Solit. Fract. doi: 10.1016/j.chaos.2006.09.026 contributor: fullname: Aboofazeli – volume: 27 start-page: 1200 issue: 7 year: 1996 ident: 10.1016/j.compbiomed.2015.01.007_bib2 article-title: Complications and outcome after acute stroke does. Dysphagia matter? publication-title: Stroke doi: 10.1161/01.STR.27.7.1200 contributor: fullname: Smithard – volume: 12 start-page: 1 issue: 90 year: 2013 ident: 10.1016/j.compbiomed.2015.01.007_bib19 article-title: The effects of increased fluid viscosity on swallowing sounds in healthy adults publication-title: Biomed. Eng. Online contributor: fullname: Jestrović – volume: 61 start-page: 3639 issue: 12 year: 2000 ident: 10.1016/j.compbiomed.2015.01.007_bib1 article-title: Evaluating dysphagia publication-title: Am. Fam. Phys. contributor: fullname: Spieker – volume: 22 start-page: 13 issue: 1 year: 2006 ident: 10.1016/j.compbiomed.2015.01.007_bib10 article-title: Radiation dose in videofluoroscopic swallow studies publication-title: Dysphagia doi: 10.1007/s00455-006-9031-x contributor: fullname: Zammit-Maempel – volume: 28 start-page: 77 issue: 1 year: 2013 ident: 10.1016/j.compbiomed.2015.01.007_bib9 article-title: Radiation exposure time during MBSS publication-title: Dysphagia doi: 10.1007/s00455-012-9415-z contributor: fullname: Bonilha – ident: 10.1016/j.compbiomed.2015.01.007_bib3 – ident: 10.1016/j.compbiomed.2015.01.007_bib7 – volume: 2 start-page: 216 issue: 4 year: 1988 ident: 10.1016/j.compbiomed.2015.01.007_bib12 article-title: Fiberoptic endoscopic examination of swallowing safety publication-title: Dysphagia doi: 10.1007/BF02414429 contributor: fullname: Langmore – volume: 11 start-page: 623 issue: 7 year: 2002 ident: 10.1016/j.compbiomed.2015.01.007_bib51 article-title: Acoustic signature of the normal swallow publication-title: Ann. Otol. Rhinol. Laryngol. doi: 10.1177/000348940211100710 contributor: fullname: Cichero – volume: 10 start-page: 1 issue: 100 year: 2011 ident: 10.1016/j.compbiomed.2015.01.007_bib37 article-title: Automatic discrimination between safe and unsafe swallowing using a reputation-based classifier publication-title: Biomed. Eng. Online contributor: fullname: Nikjoo – volume: 15 start-page: 136 issue: 3 year: 2000 ident: 10.1016/j.compbiomed.2015.01.007_bib14 article-title: Clinical utility of the modified barium swallow publication-title: Dysphagia doi: 10.1007/s004550010015 contributor: fullname: Martin-Harris – volume: 28 start-page: 226 issue: 2 year: 2013 ident: 10.1016/j.compbiomed.2015.01.007_bib50 article-title: Variation in temporal measures of swallowing: Sex and volume effects publication-title: Dysphagia doi: 10.1007/s00455-012-9437-6 contributor: fullname: Molfenter – ident: 10.1016/j.compbiomed.2015.01.007_bib33 – volume: 4 start-page: 283 issue: 4 year: 2012 ident: 10.1016/j.compbiomed.2015.01.007_bib22 article-title: Diagnostic accuracy of bedside swallow evaluation versus videofluoroscopy to assess dysphagia in individuals with tetraplegia publication-title: PM&R doi: 10.1016/j.pmrj.2012.01.002 contributor: fullname: Shem – volume: 27 start-page: 306 issue: 6 year: 2007 ident: 10.1016/j.compbiomed.2015.01.007_bib6 article-title: Role of videofluoroscopy in evaluation of neurologic dysphagia publication-title: ACTA Otorhinolaryngol. Ital. contributor: fullname: Rugiu – volume: 7 start-page: 1 issue: 3 year: 2012 ident: 10.1016/j.compbiomed.2015.01.007_bib44 article-title: A method for removal of low frequency components associated with head movements from dual-axis swallowing accelerometry signals publication-title: PLoS ONE doi: 10.1371/journal.pone.0033464 contributor: fullname: Sejdić – volume: 51 start-page: 2103 issue: 12 year: 2004 ident: 10.1016/j.compbiomed.2015.01.007_bib34 article-title: Classification of normal and dysphagic swallow by acoustical means publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2004.836504 contributor: fullname: Lazareck – ident: 10.1016/j.compbiomed.2015.01.007_bib42 – volume: 29 start-page: 1105 issue: 9 year: 2008 ident: 10.1016/j.compbiomed.2015.01.007_bib30 article-title: Time and time-frequency characterization of dual-axis swallowing accelerometry signals publication-title: Physiol. Meas. doi: 10.1088/0967-3334/29/9/008 contributor: fullname: Lee – volume: 16 start-page: 279 issue: 4 year: 2001 ident: 10.1016/j.compbiomed.2015.01.007_bib17 article-title: Prevention of pneumonia in elderly stroke patients by systematic diagnosis and treatment of dysphagia publication-title: Dysphagia doi: 10.1007/s00455-001-0087-3 contributor: fullname: Doggett – volume: 14 start-page: 3-1 issue: 1 year: 2015 ident: 10.1016/j.compbiomed.2015.01.007_bib18 article-title: A comparative analysis of swallowing accelerometry and sounds during saliva swallows publication-title: Biomed. Eng. Online doi: 10.1186/1475-925X-14-3 contributor: fullname: Dudik – volume: 10 start-page: 62 issue: 1 year: 2009 ident: 10.1016/j.compbiomed.2015.01.007_bib4 article-title: Oropharyngeal dysphagia assessment and treatment efficacy publication-title: J. Am. Med. Dir. Assoc. doi: 10.1016/j.jamda.2008.10.003 contributor: fullname: Coyle – ident: 10.1016/j.compbiomed.2015.01.007_bib8 – volume: 34 start-page: 55 issue: 1–2 year: 2001 ident: 10.1016/j.compbiomed.2015.01.007_bib16 article-title: Sensitivity and specificity of clinical/bedside examination signs for detecting aspiration in adults subsequent to stroke publication-title: J. Commun. Disord. doi: 10.1016/S0021-9924(00)00041-1 contributor: fullname: McCullough – volume: 65 start-page: 477 issue: 3 year: 2009 ident: 10.1016/j.compbiomed.2015.01.007_bib53 article-title: Bedside screening tests vs. videofluoroscopy or fiberoptic endoscopic evaluation of swallowing to detect dysphagia in patients with neurological disorders publication-title: J. Adv. Nurs. doi: 10.1111/j.1365-2648.2008.04915.x contributor: fullname: Bours – volume: 74 start-page: 736 issue: 7 year: 1993 ident: 10.1016/j.compbiomed.2015.01.007_bib46 article-title: Chin-down posture effect on aspiration in dysphagic patients publication-title: Arch. Phys. Med. Rehabil. doi: 10.1016/0003-9993(93)90035-9 contributor: fullname: Shanahan – ident: 10.1016/j.compbiomed.2015.01.007_bib32 |
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Snippet | Abstract Background : Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific... Background: Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing... Cervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing... BACKGROUNDCervical auscultation with high resolution sensors is currently under consideration as a method of automatically screening for specific swallowing... |
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SubjectTerms | Accelerometry - methods Accuracy Algorithms Auscultation - methods Biomechanics Cervical auscultation Cluster Analysis Deglutition - physiology Deglutition Disorders - physiopathology Dysphagia Humans Internal Medicine Kinematics Methods Monitoring, Physiologic - methods Neck - physiology Novelty detection Other Patients Physiology Segmentation Signal Processing, Computer-Assisted Studies Swallowing accelerometry |
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Title | A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals |
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