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Merjenje motoričnih znakov pri nevrodegenerativnih boleznih s pomočjo akcelerometrije
KOCMUT, URBAN (Author), Sadikov, Aleksander (Mentor) More about this mentor... This link opens in a new window

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Abstract
Nevrologi trenutno merijo in štejejo tremorje pri obolelih osebah tako, da opazujejo osebo v različnih pozicijah. Opazujejo predvsem roke. Nimajo na voljo naprave, s katero bi lahko izmerili tresenje rok obolelih oseb, ki bi jim te meritve prikazala in naredila preprosto obdelavo podatkov za lažjo analizo. Narejena je bila mobilna aplikacija, ki z uporabo žiroskopa in senzorja pospeška izmeri, hrani in vizualizira podatke tremorjev obolelih oseb. Aplikacija omogoča nevrologom pridobiti natančne podatke o stanju obolele osebe, prav tako omogoča primerjavo s starimi meritvami in tako nudi vpogled v napredovanje bolezni. Aplikacija je preprosta za uporabo in dostopna osebam s slabim vidom in slabim nadzorom prstov.

Language:Slovenian
Keywords:android, pametni telefon, parkinson, senzorji, merilnik pospeška, žiroskop
Work type:Bachelor thesis/paper (mb11)
Organization:FRI - Faculty of computer and information science
Year:2018
Views:181
Downloads:105
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Secondary language

Language:English
Title:Measuring motor signs of neurodegenerative diseases using accelerometery
Abstract:
Neurologists currently measure and count tremors of patients, by observing them in different positions. They usually observe the patients arms. They do not have a device which would allow them to measure tremors of patients, would visualize tremors and would process the measured data for easier analysis. The developed mobile application solves these problems. It uses a gyroscope and an accelerometer to measure tremors. The measured data is saved and visualised. The application allows neurologists to get accurate data about the state of their patients, compare measured data with previous measurements and so it also allows to track the progress of a patients disease. The application is simple to use and accessible to people with bad vision and bad finger control.

Keywords:android, smartphone, parkinson, sensors, accelerometer, gyroscope

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