{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:50:32Z","timestamp":1760237432625,"version":"build-2065373602"},"reference-count":76,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T00:00:00Z","timestamp":1588896000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UIDB\/EEA\/50008\/2020"],"award-info":[{"award-number":["UIDB\/EEA\/50008\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Electronics"],"abstract":"<jats:p>Inertial sensors are commonly embedded in several devices, including smartphones, and other specific devices. This type of sensors may be used for different purposes, including the recognition of different diseases. Several studies are focused on the use of accelerometer signals for the automatic recognition of different diseases, and it may empower the different treatments with the use of less invasive and painful techniques for patients. This paper aims to provide a systematic review of the studies available in the literature for the automatic recognition of different diseases by exploiting accelerometer sensors. The most reliably detectable disease using accelerometer sensors, available in 54% of the analyzed studies, is the Parkinson\u2019s disease. The machine learning methods implemented for the automatic recognition of Parkinson\u2019s disease reported an accuracy of 94%. The recognition of other diseases is investigated in a few other papers, and it appears to be the target of further analysis in the future.<\/jats:p>","DOI":"10.3390\/electronics9050778","type":"journal-article","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T11:26:00Z","timestamp":1588937160000},"page":"778","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9317-5250","authenticated-orcid":false,"given":"Vasco","family":"Ponciano","sequence":"first","affiliation":[{"name":"R&amp;D Unit in Digital Services, Applications, and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, Portugal"},{"name":"Altranportugal, 1990-096 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3394-6762","authenticated-orcid":false,"given":"Ivan Miguel","family":"Pires","sequence":"additional","affiliation":[{"name":"Institute of Telecommunications, University of Beira Interior, 6200-001 Covilha, Portugal"},{"name":"Department of Computer Science, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1225-3844","authenticated-orcid":false,"given":"Fernando Reinaldo","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"R&amp;D Unit in Digital Services, Applications, and Content, Polytechnic Institute of Castelo Branco, 6000-767 Castelo Branco, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5834-6571","authenticated-orcid":false,"given":"Gon\u00e7alo","family":"Marques","sequence":"additional","affiliation":[{"name":"Institute of Telecommunications, University of Beira Interior, 6200-001 Covilha, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4957-9477","authenticated-orcid":false,"given":"Maria Vanessa","family":"Villasana","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilha, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3195-3168","authenticated-orcid":false,"given":"Nuno M.","family":"Garcia","sequence":"additional","affiliation":[{"name":"Institute of Telecommunications, University of Beira Interior, 6200-001 Covilha, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7664-0168","authenticated-orcid":false,"given":"Eftim","family":"Zdravevski","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Engineering, University of Cyril and Methodius, 1000 Skopje, Macedonia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7323-4030","authenticated-orcid":false,"given":"Susanna","family":"Spinsante","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Marche Polytechnic University, 60121 Ancona, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1111\/rode.12294","article-title":"The Impact of Ageing and the Speed of Ageing on the Economic Growth of Least Developed, Emerging and Developed Countries, 1990\u20132013","volume":"21","author":"Teixeira","year":"2017","journal-title":"Rev. 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