{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T23:02:17Z","timestamp":1782860537733,"version":"3.54.5"},"reference-count":20,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T00:00:00Z","timestamp":1500595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Functional data analysis and artificial neural networks are the building blocks of the proposed methodology that distinguishes the movement patterns among c\u2019s patients on different stages of the disease and classifies new patients to their appropriate stage of the disease. The movement patterns are obtained by the accelerometer device of android smartphones that the patients carry while moving freely. The proposed methodology is relevant in that it is flexible on the type of data to which it is applied. To exemplify that, it is analyzed a novel real three-dimensional functional dataset where each datum is observed in a different time domain. Not only is it observed on a difference frequency but also the domain of each datum has different length. The obtained classification success rate of     83 %     indicates the potential of the proposed methodology.<\/jats:p>","DOI":"10.3390\/s17071679","type":"journal-article","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T10:45:48Z","timestamp":1500633948000},"page":"1679","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Classification of Alzheimer\u2019s Patients through Ubiquitous Computing"],"prefix":"10.3390","volume":"17","author":[{"given":"Alicia","family":"Nieto-Reyes","sequence":"first","affiliation":[{"name":"Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, 39005 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Duque","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, 39005 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9","family":"Monta\u00f1a","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, 39005 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmen","family":"Lage","sequence":"additional","affiliation":[{"name":"Cognitive Disorders Unit, Department of Neurology, Marqu\u00e9s de Valdecilla University Hospital (HUMV) Valdecilla Biomedical Research Institute (IDIVAL), 39008 Santander, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,7,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/329124.329126","article-title":"The Computer for the 21st Century","volume":"3","author":"Weiser","year":"1999","journal-title":"SIGMOBILE Mob. 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