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