
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:date>2017</dc:date>
  <dc:subject xml:lang="eng">OSNO - Opšta sistematizacija naučnih oblasti, Elementi telekomunikacionih i elektronskih uređaja</dc:subject>
  <dc:subject xml:lang="srp">OSNO - Opšta sistematizacija naučnih oblasti, Elementi telekomunikacionih i elektronskih uređaja</dc:subject>
  <dc:subject xml:lang="srp">OSNO - Opšta sistematizacija naučnih oblasti, Biomedicinska tehnika</dc:subject>
  <dc:subject xml:lang="eng">OSNO - Opšta sistematizacija naučnih oblasti, Biomedicinska tehnika</dc:subject>
  <dc:subject xml:lang="srp">Parkinsonova bolest, slog, senzori zasnovani na viziji, nosivi i bezicnisenzori, hod, pokreti gornjeg dela tela, pokreti ruke/sake, kvantikacija pokreta, IndikatoriPerformanse Pokreta</dc:subject>
  <dc:subject xml:lang="eng">Parkinson&apos;s disease, stroke, vision and wearable sensors, wireless sensors,gait, upper body movements, arm/hand movements, movement quantication, MovementPerformance Indicators</dc:subject>
  <dc:rights>http://creativecommons.org/licenses/by-nc-nd/2.0/at/legalcode</dc:rights>
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:contributor>Đurović, Željko, 1964-</dc:contributor>
  <dc:contributor>Victor, Jose Alberto Rosado dos Santos</dc:contributor>
  <dc:contributor>Kovačević, Branko, 1951-</dc:contributor>
  <dc:contributor>Rodić, Aleksandar, 1960-</dc:contributor>
  <dc:contributor>Marques, Jorge</dc:contributor>
  <dc:contributor>Alexandre, Luis</dc:contributor>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:17575</dc:identifier>
  <dc:identifier>cobiss:49972495</dc:identifier>
  <dc:identifier>thesis:5747</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:description xml:lang="eng">Neuroloska oboljenja, kao sto su Parkinsonova bolest i slog, dovode do ozbiljnih motornih
poremecaja, smanjuju kvalitet zivota pacijenata i mogu da uzrokuju smrt.
Rana dijagnoza i adekvatno lecenje su krucijalni faktori za drzanje bolesti pod kontrolom,
kako bi se omogucio normalan svakodnevni zivot pacijenata. Lecenje neurolo
skih bolesti obicno ukljucuje rehabilitacionu terapiju i terapiju lekovima, koje se
prilagodavaju u skladu sa stanjem pacijenta tokom vremena. Tradicionalne tehnike
evaluacije u dijagnozi i monitoringu neuroloskih bolesti oslanjaju se na klinicke evaluacione
alate, tacnije specijalno dizajnirane klinicke testove i skale. Medutim, iako su
korisne i najcesce koriscene, klinicke skale su sklone subjektivnim ocenama i nepreciznoj
interpretaciji performanse pacijenta...</dc:description>
  <dc:description xml:lang="eng">Neurological disorders, such as Parkinson&apos;s disease (PD) and stroke, lead to serious
motor disabilities, decrease the patients&apos; quality of life and can cause the mortality.
Early diagnosis and adequate disease treatment are thus crucial factors towards keeping
the disease under control in order to enable the normal every-day life of patients.
The treatment of neurological disorders usually includes the rehabilitation therapy
and drug treatment, that are adapted based on the evaluation of the patient state over
time. Conventional evaluation techniques for diagnosis and monitoring in neurological
disorders rely on the clinical assessment tools i.e. specially designed clinical tests and
scales. However, although benecial and commonly used, those scales are descriptive
(qualitative), primarily intended to be carried out by a trained neurologist, and are
prone to subjective rating and imprecise interpretation of patient&apos;s performance...</dc:description>
  <dc:description xml:lang="eng">Electrical and Computer Engineering - Signal processing and machine learning / Elektrotehnika i racunarstvo - Obrada signala i masinsko ucenje  Datum odbrane: 07.03.2018. </dc:description>
  <dc:format>105 listova</dc:format>
  <dc:format>50628108 bytes</dc:format>
  <dc:creator>Spasojević, Sofija S., 1987-</dc:creator>
  <dc:title xml:lang="eng">Quantitative movement analysis in the rehabilitation of neurological disorders using vision and wearable sensors : doctoral dissertation</dc:title>
</oai_dc:dc>
