{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T16:13:21Z","timestamp":1780071201161,"version":"3.54.0"},"reference-count":29,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T00:00:00Z","timestamp":1560211200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004564","name":"Ministarstvo Prosvete, Nauke i Tehnolo\u0161kog Razvoja","doi-asserted-by":"publisher","award":["175016"],"award-info":[{"award-number":["175016"]}],"id":[{"id":"10.13039\/501100004564","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Wearable sensors and advanced algorithms can provide significant decision support for clinical practice. Currently, the motor symptoms of patients with neurological disorders are often visually observed and evaluated, which may result in rough and subjective quantification. Using small inertial wearable sensors, fine repetitive and clinically important movements can be captured and objectively evaluated. In this paper, a new methodology is designed for objective evaluation and automatic scoring of bradykinesia in repetitive finger-tapping movements for patients with idiopathic Parkinson\u2019s disease and atypical parkinsonism. The methodology comprises several simple and repeatable signal-processing techniques that are applied for the extraction of important movement features. The decision support system consists of simple rules designed to match universally defined criteria that are evaluated in clinical practice. The accuracy of the system is calculated based on the reference scores provided by two neurologists. The proposed expert system achieved an accuracy of 88.16% for files on which neurologists agreed with their scores. The introduced system is simple, repeatable, easy to implement, and can provide good assistance in clinical practice, providing a detailed analysis of finger-tapping performance and decision support for symptom evaluation.<\/jats:p>","DOI":"10.3390\/s19112644","type":"journal-article","created":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T10:55:44Z","timestamp":1560250544000},"page":"2644","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors"],"prefix":"10.3390","volume":"19","author":[{"given":"Vladislava","family":"Bobi\u0107","sequence":"first","affiliation":[{"name":"University of Belgrade-School of Electrical Engineering, 11000 Belgrade, Serbia"},{"name":"Innovation Center, School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milica","family":"Djuri\u0107-Jovi\u010di\u0107","sequence":"additional","affiliation":[{"name":"Innovation Center, School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nata\u0161a","family":"Draga\u0161evi\u0107","sequence":"additional","affiliation":[{"name":"Clinic of Neurology, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirjana B.","family":"Popovi\u0107","sequence":"additional","affiliation":[{"name":"University of Belgrade-School of Electrical Engineering, 11000 Belgrade, Serbia"},{"name":"Institute for Medical Research, University of Belgrade, 11000 Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vladimir S.","family":"Kosti\u0107","sequence":"additional","affiliation":[{"name":"Clinic of Neurology, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8642-0361","authenticated-orcid":false,"given":"Goran","family":"Kva\u0161\u010dev","sequence":"additional","affiliation":[{"name":"University of Belgrade-School of Electrical Engineering, 11000 Belgrade, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"555","DOI":"10.3389\/fnins.2017.00555","article-title":"How wearable sensors can support parkinson\u2019s disease diagnosis and treatment: A systematic review","volume":"11","author":"Rovini","year":"2017","journal-title":"Front. 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