Search for dissertations about: "Somayeh Aghanavesi"

Found 2 swedish dissertations containing the words Somayeh Aghanavesi.

  1. 1. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

    Author : Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys; Mikrodataanalys; Microdata Analysis;

    Abstract : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). READ MORE

  2. 2. Smartphone-based Parkinson’s disease symptom assessment

    Author : Somayeh Aghanavesi; Mark Dougherty; Jerker Westin; Hasan Fleyeh; Mevludin Memedi; Högskolan Dalarna; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parkinson’s disease; symptom assessment; spiral; tapping; smartphone; temporal irregularity; timing variability; approximate entropy; ; FLOAT - Flexibel levodopa-optimerings och individanpassningsteknik; FLOAT - Flexible Levodopa Optimizing Assistive Technology; Mikrodataanalys; Microdata Analysis;

    Abstract : This thesis consists of four research papers presenting a microdata analysis approach to assess and evaluate the Parkinson’s disease (PD) motor symptoms using smartphone-based systems. PD is a progressive neurological disorder that is characterized by motor symptoms. READ MORE