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Title:Učinki avtomatizirane robotske tehnologije na fino motoriko rok pri pacientih s Parkinsonovo boleznijo : diplomsko delo visokošolskega strokovnega študijskega programa prve bolonjske stopnje Fizioterapija
Authors:ID Benedejčič, Lara (Author)
ID Horvat, Tatjana (Mentor) More about this mentor... New window
Files:.pdf DIP_Benedejcic_Lara_2024.pdf (5,82 KB)
MD5: 4493DA06910B7E48CB15BA3B02A23BC0
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:UAMEU - Alma Mater Europaea University
Abstract:Parkinsonova bolezen je druga najpogostejša nevrodegenerativna bolezen na svetu takoj za Alzeheimerjevo boleznijo. Bolezen spremljajo progresivni motorični in nemotorični simptomi. Med simptome, ki omejujejo posameznikovo samostojnost in negativno vplivajo na kvaliteto življenja, prištevamo pojav tremorja v mirovanju ter upad fine motorike in prijemalne zmogljivosti rok, kar je posledica bradikinezije in akinezije. Zdravljenje pacientov s Parkinsonovo boleznijo je simptomatsko, usmerjeno v upočasnitev napredovanja motoričnih in kognitivnih disfunkcij, ohranjanje funkcionalnosti ter lajšanje bolečine. Fizioterapevtska obravnava je zaradi progresivnosti simptomov zahtevna in doživljenjska. Napredek v tehnologiji nam je omogočil izvajanje rehabilitacije s pomočjo avtomatizirane robotske tehnologije, ki skrajša čas, ki ga mora fizioterapevt preživeti ob pacientu ter zmanjša njegovo fizično obremenitev. Rehabilitacija fine motorike rok lahko vključuje uporabo avtomatizirane robotske tehnologije, kot so robotske rokavice, robotski eksoskelet in virtualna resničnost. Namen diplomskega dela je bil raziskati, kako terapija s pomočjo avtomatizirane robotske tehnologije vpliva na prijemalno zmogljivost in fino motoriko rok pri pacientih s Parkinsonovo boleznijo. V raziskavi je sodelovalo 10 preiskovancev, 5 od teh je uspešno opravilo začetne in končne meritve. Za ocenitev prijemalne zmogljivosti rok smo uporabili Jama dinamometer, s katerimi smomerili cilindrični prijem. Za ocenitev fine motorike rok smo izvajali test devetih zatičev.
Keywords:Parkinsonova bolezen, fina motorika, prijemalna zmogljivost, fizioterapija, avtomatizirana robotska tehnologija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:L. Benedejčič
Year of publishing:2024
Year of performance:2024
Number of pages:[6] f., 33 str., [1] f. pril.
PID:20.500.12556/ReVIS-11230 New window
COBISS.SI-ID:219745283 New window
UDC:616.858:007.52(043.2)
Publication date in ReVIS:18.12.2024
Views:175
Downloads:3
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Secondary language

Language:English
Abstract:Parkinson’s disease is the second most common neurodegenerative disease in the world, right after Alzheimer’s disease. The disease is accompanied by progressive motor and nonmotor symptoms. Among the symptoms that limit an individual’s independence and have a negative impact on the quality of life is a tremor at rest and a decline in fine motor skills and grasp power of the hands, which is the result of bradykinesia and akinesia. Treatment of patients with Parkinson’s disease is symptomatic, aimed at slowing down the progression of motor and cognitive dysfunctions, maintaining functionality and alleviating pain. Physiotherapy treatment is demanding and lifelong due to the progressive nature of the symptoms. Advances in technology have enabled us to carry out rehabilitation with the help of automated robotic technology, which reduces the time the physiotherapist has to spend with the patient and reduces his physical burden. The rehabilitation of the fine hand motor skills can include the use of automatic robotic technology, such as robotic gloves, robotic exoskeleton and virtual reality. The aim of the thesis was to investigate how therapy with the help of automated robotic technology affects the grasping strength and fine motor skills of the hands in patients with Parkinson’s disease. 10 subjects participated in the research, only 5 of them successfully completed the initial and final testing. To evaluate the grip strength of the hands, we used the Jamar dynamometer, where we measured the cylindrical grip of the hand. To assess the fine motor skills of the hands, we performed the nine pins test.
Keywords:Parkinson's disease, fine motor skills, grip strength, physiotherapy, automated robotic technology


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