o:17575 Quantitative movement analysis in the rehabilitation of neurological disorders using vision and wearable sensors doctoral dissertation Kvantitativna analiza pokreta u rehabilitaciji neuroloških poremećaja korišćenjem vizuelnih i nosivih senzora : doctoral dissertation en 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... Neurological disorders, such as Parkinson's disease (PD) and stroke, lead to serious motor disabilities, decrease the patients' 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's performance... Electrical and Computer Engineering - Signal processing and machine learning / Elektrotehnika i racunarstvo - Obrada signala i masinsko ucenje Datum odbrane: 07.03.2018. Parkinsonova bolest, slog, senzori zasnovani na viziji, nosivi i bezicnisenzori, hod, pokreti gornjeg dela tela, pokreti ruke/sake, kvantikacija pokreta, IndikatoriPerformanse Pokreta Parkinson's disease, stroke, vision and wearable sensors, wireless sensors,gait, upper body movements, arm/hand movements, movement quantication, MovementPerformance Indicators yes 49972495 91552101 5747 91552100 49972495 2018-04-24T11:16:01.053Z 45 no 46 mentor Sofija S., 1987- Spasojević 2017 63 mentor Željko, 1964- Đurović 2017 63 član komisije Jose Alberto Rosado dos Santos Victor 2017 63 član komisije Branko, 1951- Kovačević 2017 63 član komisije Aleksandar, 1960- Rodić 2017 63 član komisije Jorge Marques 2017 63 član komisije Luis Alexandre 2017 105 listova 50628108 http://phaidrabg.bg.ac.rs/o:17575 no yes 4 2018-04-24T11:16:01.320Z 70 11 1067197 1067243 1067262 1067263 11 1067197 1067198 1067213 Parkinsonova bolest, slog, senzori zasnovani na viziji, nosivi i bezicnisenzori, hod, pokreti gornjeg dela tela, pokreti ruke/sake, kvantikacija pokreta, IndikatoriPerformanse Pokreta Parkinson's disease, stroke, vision and wearable sensors, wireless sensors,gait, upper body movements, arm/hand movements, movement quantication, MovementPerformance Indicators 1738 11A04 2017