{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T20:03:17Z","timestamp":1782504197539,"version":"3.54.5"},"reference-count":54,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2013,6,1]],"date-time":"2013-06-01T00:00:00Z","timestamp":1370044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2013,6]]},"DOI":"10.1016\/j.eswa.2012.11.017","type":"journal-article","created":{"date-parts":[[2012,12,1]],"date-time":"2012-12-01T23:33:12Z","timestamp":1354404792000},"page":"2756-2766","source":"Crossref","is-referenced-by-count":68,"title":["Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease"],"prefix":"10.1016","volume":"40","author":[{"given":"A.","family":"Rojas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.M.","family":"G\u00f3rriz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Ram\u00edrez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I.A.","family":"Ill\u00e1n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.J.","family":"Mart\u00ednez-Murcia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Ortiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"G\u00f3mez R\u00edo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Moreno-Caballero","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2012.11.017_b0005","unstructured":"\u00c1lvarez, I., G\u00f3rriz, J. M., Ram\u00edrez, J., Salas-Gonz\u00e1lez, D., L\u00f3pez, M., Puntonet, C.G., Segovia, F., & Prieto, B. (2009). Alzheimers diagnosis using eigenbrains and support vector machines. In IWANN 2009 Proceedings, Lecture Notes in Computer Science. Salamanca, Spain."},{"key":"10.1016\/j.eswa.2012.11.017_b0010","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1136\/jnnp.62.2.133","article-title":"[123I]FP-CIT SPECT shows a pronounced decline of striatal dopamine transporter labelling in early and advanced Parkinsons disease","volume":"62","author":"Booij","year":"1997","journal-title":"Journal of Neurology, Neurosurgery & Psychiatry"},{"key":"10.1016\/j.eswa.2012.11.017_b0015","doi-asserted-by":"crossref","unstructured":"Chaves, R., Ram\u00edrez, J., G\u00f3rriz, J. M., Ill\u00e1n, I. \u00c1., Segovia, F., & Olivares, A. (2011). Effective diagnosis of Alzheimer\u2019s disease by means of distance metric learning and random forest. In IWINAC (Vol. 2, pp. 59\u201367).","DOI":"10.1007\/978-3-642-21326-7_7"},{"key":"10.1016\/j.eswa.2012.11.017_b0020","doi-asserted-by":"crossref","unstructured":"Chaves, R., Ram\u00edrez, J., G\u00f3rriz, J. M., Salas-Gonzalez, D., & L\u00f3pez, M. (2011). Distance metric learning as feature reduction technique for the Alzheimer\u2019s disease diagnosis. In IWINAC (Vol. 2, pp. 68\u201376).","DOI":"10.1007\/978-3-642-21326-7_8"},{"issue":"12","key":"10.1016\/j.eswa.2012.11.017_b0025","doi-asserted-by":"crossref","first-page":"1666","DOI":"10.1016\/j.patrec.2012.04.011","article-title":"Functional brain image classification using association rules defined over discriminant regions","volume":"33","author":"Chaves","year":"2012","journal-title":"Pattern Recognition Letters"},{"issue":"14","key":"10.1016\/j.eswa.2012.11.017_b0030","doi-asserted-by":"crossref","first-page":"11766","DOI":"10.1016\/j.eswa.2012.04.075","article-title":"Association rule-based feature selection method for Alzheimer\u2019s disease diagnosis","volume":"39","author":"Chaves","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2012.11.017_b0035","unstructured":"Deng, G., & W.Cahill, L. (2003). Nuclear Science Symposium and Medical Imaging Conference, 1993. IEEE Conference Record. (vol.3, 1615\u20131619)."},{"key":"10.1016\/j.eswa.2012.11.017_b0040","series-title":"Statistical parametric mapping: The analysis of functional brain images","author":"Friston","year":"2007"},{"issue":"18","key":"10.1016\/j.eswa.2012.11.017_b0045","doi-asserted-by":"crossref","first-page":"13451","DOI":"10.1016\/j.eswa.2012.05.058","article-title":"On the empirical mode decomposition applied to the analysis of brain SPECT images","volume":"39","author":"Gallix","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2012.11.017_b0050","doi-asserted-by":"crossref","unstructured":"G\u00f3rriz, J. M., Ram\u00edrez, J., Lassl, A., \u00c1lvarez, I., Segovia, F., Salas, D., & L\u00f3pez, M. (2009). Classification of spect images using clustering techniques revisited. IWINAC 2009 Proceedings. Lecture Notes in Computer Science (p. 168178). Santiago de Compostela, Spain.","DOI":"10.1007\/978-3-642-02267-8_19"},{"key":"10.1016\/j.eswa.2012.11.017_b0055","series-title":"IEEE nuclear science symposium conference record, medical imaging conference","first-page":"4392","article-title":"Automatic computer aided diagnosis tool using component-based SVM","author":"G\u00f3rriz","year":"2008"},{"issue":"2","key":"10.1016\/j.eswa.2012.11.017_b0060","doi-asserted-by":"crossref","first-page":"2313","DOI":"10.1016\/j.asoc.2010.08.012","article-title":"GMM based SPECT image classification for the diagnosis of Alzheimers disease","volume":"11","author":"G\u00f3rriz","year":"2011","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2012.11.017_b0065","unstructured":"Huang, N. E. (2009). Computer implemented empirical mode decomposition apparatus, method and article of manufacture for two-dimensional signals. US Patent 6,311,130 B1, Granted Oct. 30, 2001."},{"key":"10.1016\/j.eswa.2012.11.017_b0070","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis","volume":"454","author":"Huang","year":"1998","journal-title":"Proceedings of the Royal Society of London A"},{"issue":"3","key":"10.1016\/j.eswa.2012.11.017_b0075","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","article-title":"Fast and robust fixed-point algorithms for independent component analysis","volume":"10","author":"Hyv\u00e4rinen","year":"1999","journal-title":"IEEE Transactions on Neural Networks"},{"key":"10.1016\/j.eswa.2012.11.017_b0080","first-page":"94","article-title":"Survey on independent component analysis","volume":"2","author":"Hyv\u00e4rinen","year":"1999","journal-title":"Neural Computing Surveys"},{"key":"10.1016\/j.eswa.2012.11.017_b0085","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1162\/neco.1997.9.7.1483","article-title":"A fast fixed-point algorithm for independent component analysis","volume":"9","author":"Hyv\u00e4rinen","year":"1997","journal-title":"Neural Computation"},{"issue":"4\u20135","key":"10.1016\/j.eswa.2012.11.017_b0090","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","article-title":"Independent component analysis: Algorithms and applications","volume":"13","author":"Hyv\u00e4rinen","year":"2000","journal-title":"Neural Networks"},{"issue":"11","key":"10.1016\/j.eswa.2012.11.017_b0100","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1016\/j.patrec.2010.03.004","article-title":"Projecting independent components of SPECT images for computer aided diagnosis of Alzheimers disease","volume":"31","author":"Ill\u00e1n","year":"2010","journal-title":"Pattern Recognition Letters"},{"issue":"4","key":"10.1016\/j.eswa.2012.11.017_b0105","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1016\/j.ins.2010.10.027","article-title":"18F-FDG pet imaging analysis for computer aided Alzheimers diagnosis","volume":"181","author":"Ill\u00e1n","year":"2011","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2012.11.017_b0110","doi-asserted-by":"crossref","first-page":"5971","DOI":"10.1118\/1.4742055","article-title":"Automatic assistance to Parkinson\u2019s disease diagnosis in DaTSCAN SPECT imaging","volume":"39","author":"Ill\u00e1n","year":"2012","journal-title":"Medical Physics"},{"issue":"8","key":"10.1016\/j.eswa.2012.11.017_b0115","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1001\/archneur.61.8.1224","article-title":"(123I)beta-CIT and single-photon emission computed tomographic imaging vs clinical evaluation in Parkinsonian syndrome: Unmasking an early diagnosis","volume":"61","author":"Jennings","year":"2004","journal-title":"Archives of Neurology"},{"issue":"9","key":"10.1016\/j.eswa.2012.11.017_b0120","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.2967\/jnumed.106.038646","article-title":"Validation of a standardized normalization template for statistical parametric mapping analysis of 123I-FP-CIT images","volume":"48","author":"Kas","year":"2007","journal-title":"Journal of Nuclear Medicine"},{"key":"10.1016\/j.eswa.2012.11.017_b0125","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1142\/S1793536909000138","article-title":"Image empirical mode decomposition: A new tool for image processing","volume":"1","author":"Linderhed","year":"2009","journal-title":"Advances in Adaptive Data Analysis"},{"issue":"1","key":"10.1016\/j.eswa.2012.11.017_b0130","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.eswa.2012.07.004","article-title":"Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images","volume":"40","author":"L\u00f3pez","year":"2013","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2012.11.017_b0135","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.neulet.2009.08.061","article-title":"SVM-based CAD system for early detection of the Alzheimers disease using kernel PCA and LDA","volume":"464","author":"L\u00f3pez","year":"2009","journal-title":"Neuroscience"},{"issue":"8","key":"10.1016\/j.eswa.2012.11.017_b0140","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/j.neucom.2010.06.025","article-title":"Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer\u2019s disease","volume":"74","author":"L\u00f3pez","year":"2011","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2012.11.017_b0145","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1157\/13109142","article-title":"Diagnostic accuracy of FP-CIT SPECT in patients with Parkinsonism","volume":"26","author":"Lozano","year":"2007","journal-title":"Revista Espaola de Medicina Nuclear"},{"issue":"3","key":"10.1016\/j.eswa.2012.11.017_b0150","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/0098-3004(93)90090-R","article-title":"Principal components analysis (PCA)","volume":"19","author":"Ma\u0107kiewicz","year":"1993","journal-title":"Computers & Geosciences"},{"key":"10.1016\/j.eswa.2012.11.017_b0155","unstructured":"Mart\u00ednez-Murcia, F. J., G\u00f3rriz, J. M., Ram\u00edrez, J., Ill\u00e1n, I. A., & The Parkinson\u2019s Progression Markers Initiative, (2010). Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging. Neurocomputing."},{"issue":"10","key":"10.1016\/j.eswa.2012.11.017_b0160","doi-asserted-by":"crossref","first-page":"9676","DOI":"10.1016\/j.eswa.2012.02.153","article-title":"Computer aided diagnosis tool for Alzheimer\u2019s disease based on Mann\u2013Whitney\u2013Wilcoxon U-test","volume":"39","author":"Mart\u00ednez-Murcia","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2012.11.017_b0165","first-page":"66","article-title":"Analysis of SPECT brain images for the diagnosis of Alzheimers disease using factor analysis and quadratic discriminant functions","author":"Mart\u00ednez","year":"2010","journal-title":"Lecture Notes in Computer Science"},{"issue":"9","key":"10.1016\/j.eswa.2012.11.017_b0170","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1007\/s002590050295","article-title":"Differential distribution of striatal [123I]beta-CIT in Parkinson\u2019s disease and progressive supranuclear palsy, evaluated with single-photon emission tomography","volume":"25","author":"Messa","year":"1998","journal-title":"European Journal of Nuclear Medicine"},{"issue":"1","key":"10.1016\/j.eswa.2012.11.017_b0175","doi-asserted-by":"crossref","DOI":"10.1109\/TAC.1981.1102568","article-title":"Principal component analysis in linear systems: Controllability, observability, and model reduction","volume":"AC-26","author":"Moore","year":"1981","journal-title":"IEEE Transactions on Automatic Control"},{"issue":"5","key":"10.1016\/j.eswa.2012.11.017_b0180","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/S1578-200X(10)70029-2","article-title":"Quantitative evaluation of SPECT with FP-CIT importance of the reference area","volume":"29","author":"Ortega Lozano","year":"2010","journal-title":"Revista Espaola de Medicina Nuclear"},{"key":"10.1016\/j.eswa.2012.11.017_b0185","doi-asserted-by":"crossref","unstructured":"Ortiz, A., G\u00f3rriz, J. M., Ram\u00edrez, J., & Salas-Gonzalez, D. (2011). MRI brain image segmentation with supervised SOM and probability-based clustering method. In IWINAC (Vol. 2, pp. 49\u201358).","DOI":"10.1007\/978-3-642-21326-7_6"},{"issue":"6","key":"10.1016\/j.eswa.2012.11.017_b0190","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1002\/1531-8257(200011)15:6<1158::AID-MDS1015>3.0.CO;2-0","article-title":"[123I]beta-CIT SPECT in multiple system atrophy, progressive supranuclear palsy, and corticobasal degeneration","volume":"15","author":"Pirker","year":"2000","journal-title":"Movement Disorders: Official Journal of the Movement Disorder Society"},{"key":"10.1016\/j.eswa.2012.11.017_b0195","doi-asserted-by":"crossref","unstructured":"Ram\u00edrez, J., Ch\u00e1ves, R., G\u00f3rriz, J. M., L\u00f3pez, M., Salas-Gonz\u00e1lez, D., \u00c1lvarez, I., & Segovia, F. (2009). SPECT image classification techniques for computer aided diagnosis of the Alzheimer disease. In IWANN 2009 Proceedings, Lecture Notes in Computer Science. Salamanca, Spain.","DOI":"10.1007\/978-3-642-02478-8_118"},{"key":"10.1016\/j.eswa.2012.11.017_b0200","series-title":"ICCS 2008, Part I","first-page":"741","article-title":"Effective emission tomography image reconstruction algorithms for SPECT data","volume":"Vol. 5101\/2008","author":"Ram\u00edrez","year":"2008"},{"issue":"7","key":"10.1016\/j.eswa.2012.11.017_b0205","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1049\/el:20064068","article-title":"SVM-based speech endpoint detection using contextual speech features","volume":"42","author":"Ram\u00edrez","year":"2006","journal-title":"Electronics Letters"},{"issue":"10","key":"10.1016\/j.eswa.2012.11.017_b0210","doi-asserted-by":"crossref","first-page":"2807","DOI":"10.1088\/0031-9155\/55\/10\/002","article-title":"Computer-aided diagnosis of Alzheimers disease using support vector machines and classification trees","volume":"55","author":"Salas-Gonzalez","year":"2010","journal-title":"Physics in Medicine and Biology"},{"issue":"Suppl 2","key":"10.1016\/j.eswa.2012.11.017_b0215","doi-asserted-by":"crossref","first-page":"S721","DOI":"10.1002\/mds.22590","article-title":"Dopamine transporter SPECT: How to remove subjectivity?","volume":"24","author":"Scherfler","year":"2009","journal-title":"Movement Disorders: Official Journal of the Movement Disorder Society"},{"key":"10.1016\/j.eswa.2012.11.017_b0220","unstructured":"Segovia, F., Grriz, J., Ramrez, J., Salas-Gonzlez, D., & Lvarez, I. (2012). Early diagnosis of Alzheimers disease based on partial least squares and support vector machine. Expert Systems with Applications. URL <https:\/\/2.zoppoz.workers.dev:443\/http\/www.sciencedirect.com\/science\/article\/pii\/S095741741200927X>."},{"key":"10.1016\/j.eswa.2012.11.017_b0225","first-page":"39","article-title":"Improved Parkinsonism diagnosis using a partial least squares based approach","author":"Segovia","year":"2012","journal-title":"Medical Physics"},{"issue":"1","key":"10.1016\/j.eswa.2012.11.017_b0230","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.neucom.2011.03.050","article-title":"A comparative study of feature extraction methods for the diagnosis of Alzheimer\u2019s disease using the ADNI database","volume":"75","author":"Segovia","year":"2012","journal-title":"Neurocomputing"},{"issue":"8","key":"10.1016\/j.eswa.2012.11.017_b0235","doi-asserted-by":"crossref","first-page":"1154","DOI":"10.1001\/archneur.63.8.1154","article-title":"Topography of dopamine transporter availability in progressive supranuclear palsy: A voxelwise [123I]beta-CIT SPECT analysis","volume":"63","author":"Seppi","year":"2006","journal-title":"Archives of Neurology"},{"key":"10.1016\/j.eswa.2012.11.017_b0240","series-title":"Statistical learning theory","author":"Vapnik","year":"1998"},{"key":"10.1016\/j.eswa.2012.11.017_b0245","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1136\/jnnp.74.3.294","article-title":"[123I]beta-CIT SPECT is a useful method for monitoring dopaminergic degeneration in early stage Parkinson\u2019s disease","volume":"74","author":"Winogrodzka","year":"2003","journal-title":"Journal of Neurology, Neurosurgery & Psychiatry"},{"key":"10.1016\/j.eswa.2012.11.017_b0250","series-title":"Handbook of medical imaging","first-page":"465","article-title":"Spatial transformation models","author":"Woods","year":"2000"},{"issue":"1","key":"10.1016\/j.eswa.2012.11.017_b0255","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1142\/S1793536909000047","article-title":"Ensemble empirical mode decomposition: A noise-assisted data analysis method","volume":"1","author":"WU","year":"2009","journal-title":"Advances in Adaptive Data Analysis"},{"issue":"3","key":"10.1016\/j.eswa.2012.11.017_b0260","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1142\/S1793536909000187","article-title":"The multi-dimensional ensemble empirical mode decomposition method","volume":"1","author":"Wu","year":"2009","journal-title":"World Scientific. Advances in Adaptive Data Analysis"},{"key":"10.1016\/j.eswa.2012.11.017_b0265","volume":"vol. 4","author":"Zeiler","year":"2010"},{"key":"10.1016\/j.eswa.2012.11.017_b0270","first-page":"77","article-title":"Brain status data analysis by sliding EMD","volume":"2","author":"Zeiler","year":"2011","journal-title":"IWINAC"},{"issue":"6","key":"10.1016\/j.eswa.2012.11.017_b0275","doi-asserted-by":"crossref","first-page":"857","DOI":"10.2967\/jnumed.106.037432","article-title":"Optimized, automated striatal uptake analysis applied to SPECT brain scans of Parkinson\u2019s disease patients","volume":"48","author":"Zubal","year":"2007","journal-title":"Journal of Nuclear Medicine"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0957417412012274?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0957417412012274?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,7,6]],"date-time":"2019-07-06T09:35:04Z","timestamp":1562405704000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417412012274"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,6]]},"references-count":54,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2013,6]]}},"alternative-id":["S0957417412012274"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.eswa.2012.11.017","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2013,6]]}}}