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Št. zadetkov: 2
Unsupervised learning from motion sensor data to assess the condition of patients with Parkinson's disease
Teodora Matić, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Žabkar, Aleksander Sadikov
Objavljeni znanstveni prispevek na konferenci
Oznake: nenadzorovano učenje;senzorski podatki;Parkinsonova bolezen;unsupervised learning;sensor data;Parkinson's disease;
Unsupervised learning from motion sensor data to assess the condition of patients with Parkinson's disease
Leto: 2019 Vir: Univerza na Primorskem (UP)
Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's disease
Mevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Žabkar, Martin Možina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm
Izvirni znanstveni članek
Oznake: digitalna analiza spiral;parkinsonova bolezen;bradikinezija;diskinezija;oddaljen nadzor;digital spiral analysis;Parkinson's disease;bradykinesia;dyskinesia;remote monitoring;
A challenge for the clinical management of advanced Parkinson’s disease (PD) patients is the emergence of fluctuations in motor performance, which represents a significant source of disability during activities of daily living of the patients. There is a lack of objective measurement of treatment ef ...
Leto: 2015 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 2
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