{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:12:57Z","timestamp":1760235177733,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2021,7,24]],"date-time":"2021-07-24T00:00:00Z","timestamp":1627084800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100009473","name":"Universidad de M\u00e1laga","doi-asserted-by":"publisher","award":["Plan Propio de Investigaci\u00f3n y Transferencia, Project DIATAX"],"award-info":[{"award-number":["Plan Propio de Investigaci\u00f3n y Transferencia, Project DIATAX"]}],"id":[{"id":"10.13039\/100009473","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position of the human eyes as a response to saccadic visual stimuli. These signals are essential to monitor and evaluate several neurological diseases, such as Spinocerebellar Ataxia type 2 (SCA2). For this, biomarkers such as peak velocity, latency and duration are computed. To compute these biomarkers, we need to obtain the velocity profile of the signals using numerical differentiation methods. These methods are affected by the noise present in the electrooculograms, specially in subjects that suffer neurological diseases. This noise complicates the comparison of the differentiation methods using real saccadic signals because of the impossibility of establishing exact saccadic onset and offset points. In this work, we evaluate 16 differentiation methods by the design of an experiment that uses synthetic saccadic electrooculograms generated from parametric models of both healthy subjects and subjects suffering from Spinocerebellar Ataxia type 2 (SCA2). For these synthetic electrooculograms the exact velocity profile is known, hence we can use them as a reference for comparison and error computing for the tasks of saccade identification and saccade biomarker computing. Finally, we identify the best fitting method or methods for each evaluated task.<\/jats:p>","DOI":"10.3390\/s21155021","type":"journal-article","created":{"date-parts":[[2021,7,25]],"date-time":"2021-07-25T22:07:00Z","timestamp":1627250820000},"page":"5021","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Differentiation of Saccadic Eye Movement Signals"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6966-6690","authenticated-orcid":false,"given":"Roberto A.","family":"Becerra-Garc\u00eda","sequence":"first","affiliation":[{"name":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, CEI Andaluc\u00eda Tech, 29071 M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0643-4745","authenticated-orcid":false,"given":"Rodolfo","family":"Garc\u00eda-Berm\u00fadez","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica y Electr\u00f3nica, Universidad T\u00e9cnica de Manab\u00ed, Portoviejo 130105, Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9256-0870","authenticated-orcid":false,"given":"Gonzalo","family":"Joya","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, CEI Andaluc\u00eda Tech, 29071 M\u00e1laga, Spain"},{"name":"Instituto Universitario de Investigaci\u00f3n en Telecomunicaci\u00f3n (TELMA), Universidad de M\u00e1laga, CEI Andaluc\u00eda Tech, E.T.S.I. Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Leigh, R.J., and Zee, D.S. (2015). The Neurology of Eye Movements, Oxford University Press.","DOI":"10.1093\/med\/9780199969289.001.0001"},{"key":"ref_2","first-page":"1817","article-title":"Eye movements, prematurity and developmental co-ordination disorder","volume":"12","author":"Thompson","year":"1998","journal-title":"Vis. Res."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Krupi\u0144ski, R., and Mazurek, P. (2010). Electrooculography signal estimation by using evolution\u2013based technique for computer animation applications. International Conference on Computer Vision and Graphics, Springer.","DOI":"10.1007\/978-3-642-15910-7_16"},{"key":"ref_4","unstructured":"P\u00e9rez, L.V. (2017). Ataxia espinocerebelosa tipo 2. 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