Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors

dc.contributor.authorRigas, G.en
dc.contributor.authorTzallas, A.en
dc.contributor.authorTsipouras, M.en
dc.contributor.authorBougia, P.en
dc.contributor.authorTripoliti, E.en
dc.contributor.authorBaga, D.en
dc.contributor.authorFotiadis, D.en
dc.contributor.authorTsouli, S.en
dc.contributor.authorKonitsiotis, S.en
dc.date.accessioned2015-11-24T19:35:07Z
dc.date.available2015-11-24T19:35:07Z
dc.identifier.issn1558-0032-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/23680
dc.rightsDefault Licence-
dc.titleAssessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensorsen
heal.abstractTremor is the most common motor disorder of Parkinsons Disease (PD) and consequently its detection plays a crucial role in the management and treatment of PD patients. The current diagnosis procedure is based on subject dependent clinical assessment which has a difficulty in capturing subtle tremor features. In this paper, an automated method for both resting and action/postural tremor assessment is proposed using a set of accelerometers mounted on different patients body segments. The estimation of tremor type (resting/action-postural) and severity is based on features extracted from the acquired signals and Hidden Markov models. The method is evaluated using data collected from 23 subjects (18 PD patients and 5 control subjects). The obtained results verified that the proposed method successfully: (i) quantifies tremor severity with 87% accuracy, (ii) discriminates resting from postural tremor and (iii) discriminates tremor from other Parkinsonian motor symptoms during daily activities.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primary10.1109/TITB.2011.2182616-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/22231198-
heal.identifier.secondaryhttp://ieeexplore.ieee.org/ielx5/4233/4358869/06121951.pdf?tp=&arnumber=6121951&isnumber=4358869-
heal.journalNameIEEE Trans Inf Technol Biomeden
heal.journalTypepeer-reviewed-
heal.languageen-
heal.publicationDate2012-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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