{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T12:03:54Z","timestamp":1790597034089,"version":"4.1.0"},"reference-count":41,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,1,10]],"date-time":"2019-01-10T00:00:00Z","timestamp":1547078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Depression is a mental disorder characterized by recurrent sadness and loss of interest in the enjoyment of the positive aspects of life, in addition to fatigue, causing inability to perform daily activities, which leads to a loss of quality of life. To monitor depression (unipolar and bipolar patients), traditional methods rely on reports from patients; nevertheless, bias is commonly present in them. To overcome this problem, Ecological Momentary Assessment (EMA) reports have been widely used, which include data of the behavior, feelings and other types of activities recorded almost in real time through the use of portable devices and smartphones containing motion sensors. In this work a methodology was proposed to detect depressive subjects from control subjects based in the data of their motor activity, recorded by a wearable device, obtained from the \u201cDepresjon\u201d database. From the motor activity signals, the extraction of statistical features was carried out to subsequently feed a random forest classifier. Results show a sensitivity value of 0.867, referring that those subjects with presence of depression have a degree of 86.7% of being correctly classified, while the specificity shows a value of 0.919, referring that those subjects with absence of depression have a degree of 91.9% of being classified with a correct response, using the motor activity signal provided from the wearable device. Based on these results, it is concluded that the motor activity allows distinguishing between the two classes, providing a preliminary and automated tool to specialists for the diagnosis of depression.<\/jats:p>","DOI":"10.3390\/diagnostics9010008","type":"journal-article","created":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T04:10:16Z","timestamp":1547179816000},"page":"8","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8049-8077","authenticated-orcid":false,"given":"Laura A.","family":"Zanella-Calzada","sequence":"first","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7635-4687","authenticated-orcid":false,"given":"Carlos E.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nubia M.","family":"Ch\u00e1vez-Lamas","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Odontolog\u00eda, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. del Carmen","family":"Gracia-Cort\u00e9s","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Odontolog\u00eda, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Magallanes-Quintanar","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6847-3777","authenticated-orcid":false,"given":"Jos\u00e9 M.","family":"Celaya-Padilla","sequence":"additional","affiliation":[{"name":"CONACYT\u2014Universidad Aut\u00f3noma de Zacatecas\u2014Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge I.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9498-6602","authenticated-orcid":false,"given":"Hamurabi","family":"Gamboa-Rosales","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.2471\/BLT.11.091850","article-title":"Prevalence and determinants of common perinatal mental disorders in women in low-and lower-middle-income countries: A systematic review","volume":"90","author":"Fisher","year":"2012","journal-title":"Bull. 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