{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:21:26Z","timestamp":1743139286871,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319192215"},{"type":"electronic","value":"9783319192222"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-19222-2_5","type":"book-chapter","created":{"date-parts":[[2015,6,5]],"date-time":"2015-06-05T03:01:02Z","timestamp":1433473262000},"page":"56-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning"],"prefix":"10.1007","author":[{"given":"Roberto","family":"Becerra-Garc\u00eda","sequence":"first","affiliation":[]},{"given":"Rodolfo","family":"Garc\u00eda-Berm\u00fadez","sequence":"additional","affiliation":[]},{"given":"Gonzalo","family":"Joya-Caparr\u00f3s","sequence":"additional","affiliation":[]},{"given":"Abel","family":"Fern\u00e1ndez-Higuera","sequence":"additional","affiliation":[]},{"given":"Camilo","family":"Vel\u00e1zquez-Rodr\u00edguez","sequence":"additional","affiliation":[]},{"given":"Michel","family":"Vel\u00e1zquez-Mari\u00f1o","sequence":"additional","affiliation":[]},{"given":"Franger","family":"Cuevas-Beltr\u00e1n","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Garc\u00eda-Lagos","sequence":"additional","affiliation":[]},{"given":"Roberto","family":"Rodr\u00edguez-Labrada","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,6,6]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Alcal\u00e1-Fdez, J., S\u00e1nchez, L., Garc\u00eda, S., del Jes\u00fas, M.J., Ventura, S., Garrell, J.M., Otero, J., Romero, C., Bacardit, J., Rivas, V.M., et al.: KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Computing 13(3), 307\u2013318 (2009). http:\/\/link.springer.com\/article\/10.1007\/s00500-008-0323-y","DOI":"10.1007\/s00500-008-0323-y"},{"key":"5_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-642-38682-4_14","volume-title":"Advances in Computational Intelligence","author":"R Becerra","year":"2013","unstructured":"Becerra, R., Joya, G., Berm\u00fadez, R.V.G., Vel\u00e1zquez, L., Rodr\u00edguez, R., Pino, C.: Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2. In: Rojas, I., Joya, G., Cabestany, J. (eds.) IWANN 2013, Part II. LNCS, vol. 7903, pp. 115\u2013123. Springer, Heidelberg (2013)"},{"key":"5_CR3","unstructured":"Becerra Garca, R.A.: Plataforma de procesamiento de electrooculogramas. Caso de estudio: pacientes con Ataxia Espinocerebelosa Tipo 2. Master en matemtica aplicada e informtica para la administracin, Universidad de Holgun, Holgun (2013)"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Bonnet, C., Hanuka, J., Rusz, J., Rivaud-Pchoux, S., Sieger, T., Majerov, V., Serranov, T., Gaymard, B., Rika, E.: Horizontal and vertical eye movement metrics: What is important?. Clinical Neurophysiology 124(11), 2216\u20132229 (2013). http:\/\/www.clinph-journal.com\/article\/S1388245713006378\/abstract","DOI":"10.1016\/j.clinph.2013.05.002"},{"key":"5_CR5","unstructured":"Breiman, L., Friedman, J., Stone, C.J., Olshen, R.A.: Classification and regression trees. CRC Press (1984)"},{"issue":"4","key":"5_CR6","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1109\/TPAMI.2010.86","volume":"33","author":"A Bulling","year":"2011","unstructured":"Bulling, A., Ward, J., Gellersen, H., Troster, G.: Eye Movement Analysis for Activity Recognition Using Electrooculography. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(4), 741\u2013753 (2011)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning 20(3), 273\u2013297 (1995). http:\/\/link.springer.com\/article\/10.1007\/BF00994018","DOI":"10.1007\/BF00994018"},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.jneumeth.2014.06.020","volume":"235","author":"PM Daye","year":"2014","unstructured":"Daye, P.M., Optican, L.M.: Saccade detection using a particle filter. Journal of Neuroscience Methods 235, 157\u2013168 (2014)","journal-title":"Journal of Neuroscience Methods"},{"key":"5_CR9","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. The Journal of Machine Learning Research 7, 1\u201330 (2006). http:\/\/dl.acm.org\/citation.cfm?id=1248548"},{"issue":"3","key":"5_CR10","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/MCSE.2007.55","volume":"9","author":"JD Hunter","year":"2007","unstructured":"Hunter, J.D.: Matplotlib: A 2D Graphics Environment. Computing in Science and Engineering 9(3), 90\u201395 (2007)","journal-title":"Computing in Science and Engineering"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Inchingolo, P., Spanio, M.: On the Identification and Analysis of Saccadic Eye Movements-A Quantitative Study of the Processing Procedures. IEEE Transactions on Biomedical Engineering BME 32(9), 683\u2013695 (1985)","DOI":"10.1109\/TBME.1985.325586"},{"key":"5_CR12","unstructured":"Jones, E., Oliphant, T., Peterson, P.: SciPy: Open source scientific tools for Python (2001). http:\/\/www.scipy.org\/, http:\/\/www.citeulike.org\/group\/2018\/article\/2644428"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Juhola, M.: Median filtering is appropriate to signals of saccadic eye movements. Computers in Biology and Medicine 21(1\u20132), 43\u201349 (1991). http:\/\/www.sciencedirect.com\/science\/article\/pii\/0010482591900347","DOI":"10.1016\/0010-4825(91)90034-7"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Juhola, M., J\u00e4ntti, V., Pyykk\u00f6, I., Magnusson, M., Schal\u00e9n, L., \u00c5kesson, M.: Detection of saccadic eye movements using a non-recursive adaptive digital filter. Computer Methods and Programs in Biomedicine 21(2), 81\u201388 (1985). http:\/\/www.sciencedirect.com\/science\/article\/pii\/0169260785900665","DOI":"10.1016\/0169-2607(85)90066-5"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Magosso, E., Provini, F., Montagna, P., Ursino, M.: A wavelet based method for automatic detection of slow eye movements: A pilot study. Medical Engineering & Physics 28(9), 860\u2013875 (2006). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1350453306000154","DOI":"10.1016\/j.medengphy.2006.01.002"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Marmor, M.F., Zrenner, E.: Standard for clinical electro-oculography. Documenta Ophthalmologica 85(2), 115\u2013124 (1993). http:\/\/dx.doi.org\/10.1007\/BF01371127","DOI":"10.1007\/BF01371127"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"McKinney, W.: Data Structures for Statistical Computing in Python, pp. 51\u201356 (2010). http:\/\/conference.scipy.org\/proceedings\/scipy2010\/mckinney.html","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Nystrm, M., Holmqvist, K.: An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data. Behavior Research Methods 42(1), 188\u2013204 (2010). http:\/\/link.springer.com\/article\/10.3758\/BRM.42.1.188","DOI":"10.3758\/BRM.42.1.188"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Oliphant, T.E.: Python for scientific computing. Computing in Science & Engineering 9(3), 10\u201320 (2007). http:\/\/scitation.aip.org\/content\/aip\/journal\/cise\/9\/3\/10.1109\/MCSE.2007.58","DOI":"10.1109\/MCSE.2007.58"},{"issue":"2","key":"5_CR20","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1167\/14.2.18","volume":"14","author":"J Otero-Millan","year":"2014","unstructured":"Otero-Millan, J., Castro, J.L.A., Macknik, S.L., Martinez-Conde, S.: Unsupervised clustering method to detect microsaccades. Journal of Vision 14(2), 18 (2014)","journal-title":"Journal of Vision"},{"key":"5_CR21","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research 12, 2825\u20132830 (2011). http:\/\/jmlr.csail.mit.edu\/papers\/v12\/pedregosa11a.html"},{"issue":"1","key":"5_CR22","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1186\/1475-925X-12-110","volume":"12","author":"K Pettersson","year":"2013","unstructured":"Pettersson, K., Jagadeesan, S., Lukander, K., Henelius, A., H\u00e6ggstr\u00f6m, E., M\u00fcller, K.: Algorithm for automatic analysis of electro-oculographic data. Biomedical Engineering Online 12(1), 110 (2013)","journal-title":"Biomedical Engineering Online"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Prez, F., Granger, B.E.: IPython: A System for Interactive Scientific Computing. Computing in Science & Engineering 9(3), 21\u201329 (2007). http:\/\/scitation.aip.org\/content\/aip\/journal\/cise\/9\/3\/10.1109\/MCSE.2007.53","DOI":"10.1109\/MCSE.2007.53"},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"Rodrguez-Labrada, R., Velzquez-Prez, L.: Eye movement abnormalities in spinocerebellar ataxias. Spinocerebellar Ataxias, pp. 59\u201376. Intech, Rijeka (2012)","DOI":"10.5772\/28545"},{"key":"5_CR25","volume-title":"Artificial Intelligence: A Modern Approach","author":"S Russell","year":"2009","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall, Upper Saddle River (December (2009)","edition":"3"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: ETRA 2000, pp. 71\u201378. ACM, New York (2000). http:\/\/doi.acm.org\/10.1145\/355017.355028","DOI":"10.1145\/355017.355028"},{"key":"5_CR27","doi-asserted-by":"crossref","unstructured":"Silverman, B.W., Jones, M.C.: An Important Contribution to Nonparametric Discriminant Analysis and Density Estimation. International Statistical Review \/ Revue Internationale de Statistique 57(3), 233\u2013238 (1989). http:\/\/www.jstor.org\/stable\/1403796","DOI":"10.2307\/1403796"},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Tigges, P., Kathmann, N., Engel, R.R.: Identification of input variables for feature based artificial neural networks-saccade detection in EOG recordings. International Journal of Medical Informatics 45(3), 175\u2013184 (1997). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1386505697000427","DOI":"10.1016\/S1386-5056(97)00042-7"},{"key":"5_CR29","doi-asserted-by":"crossref","unstructured":"Velzquez-Prez, L., Rodrguez-Labrada, R., Garca-Rodrguez, J.C., Almaguer-Mederos, L.E., Cruz-Mario, T., Laffita-Mesa, J.M.: A comprehensive review of spinocerebellar ataxia type 2 in cuba. The Cerebellum 10(2), 184\u2013198 (2011). http:\/\/link.springer.com\/article\/10.1007\/s12311-011-0265-2","DOI":"10.1007\/s12311-011-0265-2"},{"key":"5_CR30","doi-asserted-by":"crossref","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining. Practical Machine Learning Tools and Techniques, 3 edn. Morgan Kaufmann (2011)","DOI":"10.1016\/B978-0-12-374856-0.00001-8"},{"key":"5_CR31","doi-asserted-by":"crossref","unstructured":"Wyatt, H.J.: Detecting saccades with jerk. Vision Research 38(14), 2147\u20132153 (1998). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0042698997004100","DOI":"10.1016\/S0042-6989(97)00410-0"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-19222-2_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T09:52:13Z","timestamp":1676454733000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-19222-2_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319192215","9783319192222"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-19222-2_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"6 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}