Sökning: "temporal irregularity"

Hittade 3 avhandlingar innehållade orden temporal irregularity.

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

    Författare :Somayeh Aghanavesi; Mark Dougherty; Jerker Westin; Hasan Fleyeh; Mevludin Memedi; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; 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;

    Sammanfattning : 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. LÄS MER

  3. 2. Exploring the Scalability and Performance of Networks-on-Chip with Deflection Routing in 3D Many-core Architecture

    Författare :Awet Yemane Weldezion; Hannu Tenhunen; Lirong Zheng; Tapani Ahonen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Alpha-model; Average distance; B-Model; NoC; Zero-load predictive model; deflection routing; q-routing;

    Sammanfattning : Three-Dimensional (3D) integration of circuits based on die and wafer stacking using through-silicon-via is a critical technology in enabling "more-than-Moore", i.e. functional integration of devices beyond pure scaling ("more Moore"). LÄS MER

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

    Författare :Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; 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;

    Sammanfattning : 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). LÄS MER