Design of a New System for Upper Extremity Movement Ability Assessment

dc.contributor.author Cizmeciogullari S.
dc.contributor.author Kocak M.
dc.contributor.author Mihcin S.
dc.contributor.author Tosun A.
dc.contributor.author Akan A.
dc.date.accessioned 2023-06-16T15:01:48Z
dc.date.available 2023-06-16T15:01:48Z
dc.date.issued 2020
dc.description 28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- 166413 en_US
dc.description.abstract One of the methods used in upper extremity function assessment is the Range of Motion (ROM) measurements. In practice, these measurements are performed by a clinicians' personal observations and/or goniometric measurements. In these measurements, there are some problems related to repeatibility and reliability criterias. In this study, a novel system which contains only a single camera to perform ROM calculations objectively in upper extremity is suggested. For this purpose shoulder and elbow flexion movements were recorded and analyzed. The system was compared with which was known as a 'Gold Standard' system. The nine male and nine female volunteers were participated in the study. Kinect camera was used to record movements of upper limb. The Kinect camera results were compared with that of OptiTrack camera system. The shoulder and elbow flexion angles were computed for both systems. The agreement between the two systems were examined statistically by using the computed ROM values. Bland-Altman plots revealed the agreement within 95 % interval of confidence, between the two systems for shoulder flexion and elbow flexion in both males and females. This study provides evidence for the suitability of the proposed system for a clinical work. © 2020 IEEE. en_US
dc.identifier.doi 10.1109/SIU49456.2020.9302514
dc.identifier.isbn 9.78E+12
dc.identifier.scopus 2-s2.0-85100311185
dc.identifier.uri https://doi.org/10.1109/SIU49456.2020.9302514
dc.identifier.uri https://hdl.handle.net/20.500.14365/3621
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject elbow en_US
dc.subject measurement en_US
dc.subject repeatibility en_US
dc.subject ROM en_US
dc.subject shoulder en_US
dc.subject validity en_US
dc.subject Cameras en_US
dc.subject Camera systems en_US
dc.subject Goniometric measurements en_US
dc.subject Interval of confidence en_US
dc.subject Kinect cameras en_US
dc.subject Range of motions en_US
dc.subject Upper extremity en_US
dc.subject Upper extremity functions en_US
dc.subject Upper extremity movements en_US
dc.subject Signal processing en_US
dc.title Design of a New System for Upper Extremity Movement Ability Assessment en_US
dc.title.alternative Ust Ekstremite Hareket Kabiliyeti Degerlendirmesi Icin Yeni Bir Sistem Tasarimi en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.author.scopusid 35617283100
gdc.bip.impulseclass C5
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gdc.coar.access metadata only access
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gdc.description.departmenttemp Cizmeciogullari, S., Istanbul Üniversitesi- Cerrahpaşa, Biyomedikal Müh. Programl, Istanbul, Turkey; Kocak, M., Istanbul Üniversitesi- Cerrahpaşa, Biyomedikal Müh. Programl, Istanbul, Turkey; Mihcin, S., Istanbul Üniversitesi- Cerrahpaşa, Biyomedikal Müh. Programl, Istanbul, Turkey; Tosun, A., Istanbul Üniversitesi- Cerrahpaşa, Biyomedikal Müh. Programl, Istanbul, Turkey; Akan, A., Izmir Ekonomi Üniversitesi, Elektrik-Elektronik Müh. Böl., Izmir, Turkey en_US
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.wosquality N/A
gdc.identifier.openalex W3118884959
gdc.identifier.wos WOS:000653136100486
gdc.index.type WoS
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gdc.oaire.impulse 0.0
gdc.oaire.influence 2.5349236E-9
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gdc.oaire.keywords validity
gdc.oaire.keywords repeatibility
gdc.oaire.keywords ROM
gdc.oaire.keywords shoulder
gdc.oaire.keywords elbow
gdc.oaire.keywords measurement
gdc.oaire.popularity 1.4049963E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
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gdc.virtual.author Akan, Aydın
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